In 2026, business apps, especially productivity tools, will play a huge role in efficient execution and data-driven decision-making. So, breaking down some of the most interesting small business software statistics could help us to understand the key metrics and easily decide what you should focus on.

Let’s dive in!

ERP Software Statistics for Small Businesses

In the first section, I will show you some powerful insights on how small businesses are increasingly treating ERP as fundamental infrastructure rather than optional software.

62% of small business ERP implementations report cost savings

If we base our premises on Sci-tech’s report, then it’s safe to say that ERP systems are positively impacting financial outcomes. After all, 62% of survey respondents categorically said that ERP saved substantial costs, especially in purchasing and inventory management.

What does this mean for a small business owner? It means it is crucial to choose a top ERP software for small businesses that allows small teams to scale efficiently without overinvesting upfront, for example, MRPeasy. These tools help managers focus on essential planning and inventory controls before layering on complexity.

Cloud ERP shortens implementation timelines

Likewise, in the Parsimony 2025 report, cloud ERP implementations now take from 3 to 9 months as opposed to 6 to 12 months for legacy systems. As a result, ROIs are being realized within a short time frame, enabling companies to use the standardized workflows faster.

Small businesses trying to manage their speed while keeping costs under control may be strongly influenced by the idea of faster growth, which, in fact, might be a game-changer.

83% of ERP projects met ROI expectations

According to Market.Biz data, it was found that among companies that carried out an ROI analysis before launching their projects and have been live for over a year, over 83% reported that their ERP projects met or surpassed their ROI expectations.

Such data insights are crucial. If you’re an SME that evaluates ERP ROI upfront, you’re far more likely to see measurable returns, proving planning matters as much as the software itself.

More than 80% of SMBs use ERP systems to stay competitive

Still not convinced of the viability of ERP? Then you might want to check this data from Research.com. The ERP market reaching $147.7 billion in 2025 wasn’t a mere coincidence. It’s driven by the urgent need for businesses to stay relevant.

As a matter of fact, over 80% of SMEs with annual revenues below $50 million adopted ERPs to have a competitive advantage. This further reflects the value of these tools when efficiency and growth are of the essence. 

Related articles:

• 6 Best Business Apps You Don’t Know | 200+ Tools Tested (2026)

HR & Workforce Software Statistics

Only an HR team will fully understand the complexities associated with administration. It gets overwhelming at some point, particularly for large enterprises. The collected detailed insights below demonstrate how SMEs are using HR software to lessen the administrative burden and improve workforce management.

65% of small businesses use HR software

No matter how tedious HR tasks are, SMBs still have to keep up. This accounts for the results from Biz4Group 2025 data. It was found that 65% of small U.S. businesses have adopted HR technology. Payroll, leave tracking, time tracking apps, and compliance modules replace spreadsheets without replacing staff, creating time savings for lean teams.

This explains the paradigm shift toward the adoption of the top HRIS software for small businesses and prominent options like Agendrix, which enables small teams to manage employees efficiently and scale operations.

Over 50% of SMBs use HR tech for payroll and recruitment

In another report from the Market.Biz 2025 survey, payroll, recruitment, and performance tracking systems ranked highest as the most common applications of HR technology. In fact, more than half of SMEs have adopted HR software to escape risks of non-compliance, reduce administrative work, and improve the employee experience.

The bottom line is that SMEs may be able to save hundreds of hours per year through the use of automation in payroll and recruitment.

Cloud-based HR solutions account for 60% of the market

As the hype surrounding ERP systems increases, the HR Software Market 2026-2035 reports revealed that nearly 60% of HR software solutions are hosted on the cloud. Small businesses have a lot to gain from this: scalability, the ability to work from anywhere, and less expensive hardware.

If the trend continues, there’s no doubt that cloud-based HR systems will be at the core of SMB workforce management in 2026.

Almost 40% of HR tech spending comes from small businesses 

If you’ve ever had that gut feeling that SMBs are becoming the growth engine of the HR tech market, perhaps it’s time to confidently make that assertion. SaaSworthy’s analysis clearly states that 38% of all HR tech spending was traced back to small businesses.

This sudden shift is driven by innovation and the urgent demand for automated workflows, compliance, and team efficiency. SMBs that are quick to take the initiative will record greater retention and hiring outcomes. 

Customer Feedback & Consumer Insight Software Statistics

Customers are the lifeline of any business. Only those companies that focus on meeting changing market demands & always improving customer interactions will maintain top-flight in the coming year. But what do the small business software statistics look like in this industry?

Scroll down, because I collected some deeper insights for the customer-related statistics.

Nearly 60% of surveys are completed on mobile devices

Since this era is marked by digital transformation, SurveyMonkey found that almost six in ten survey responses are done through mobile devices.

For small teams, top survey platforms for consumer insights or tools like Attest help fast-track customer feedback. They say mobile devices are the main reason why the number of participants in the survey increases. As such, the insights gained are more representative.

Moving forward, there’s every tendency that a mobile-first survey design will be the factor that separates those who gain actionable insights from those who do not in 2026.

Furthermore, using artificial intelligence-driven tools, you can perform more advanced data analysis to extract key insights from complex data.

80% of US surveys have become multilingual 

In the past decade, multilingual surveys have seen a significant increase. According to the data gathered by SurveyMonkey, 8 out of 10 surveys in the US have multiple language options: French, Chinese, Spanish, Japanese, and Korean, to name a few.  

With these, businesses, especially startups and SMEs, can ask questions that are easily understood by their audience and get accurate feedback that actually demonstrates how customers really feel. 

AI-related HR surveys grew 85% on SurveyMonkey

We gathered from SurveyMonkey’s State of Surveys 2025 report that there has been a significant increase in the number of artificial intelligence-related HR surveys. This can only mean one thing: structured feedback could be the standard way of making decisions in lean HR teams.

It turns out that SMBs are using surveys in more ways than one. Besides getting the feel of the employees, they’ve been able to spot skill gaps that exist in their teams and identify the need for employee training. Such tools can help with data analytics, visualization, and more to gain insights.

Millions of questions move through SurveyMonkey annually 

Data is an extremely viable tool for business success, and teams are exploiting it to stay decisive and flexible. Based on reports from SurveyMonkey corporate data, millions of questions flow through for responses each year. Companies then use the answers gained from these to track trends like tariff policies and consumer sentiment.

Small businesses or startups have a lot to gain from this. Working with data-driven insights can improve product quality and service decisions. 

Project Management & Productivity Software Statistics

One thing we’ve come to realize in recent years is that manual workflows aren’t the most efficient anymore. Using business applications for automation and productivity is the real deal.

The small business software statistics here uncover some fascinating trends about how organizations are actually managing projects and collaboration.

41% of Small businesses use AI project management tools

In Thryv’s 2025 survey, Small businesses are reported to be more inclined to use tools such as Asana, Trello, and ClickUp for the management of hybrid workflows. This increased the AI adoption rate by 41% and is said to be a main factor for improved task visibility and team alignment.

By means of a simpler project management tool, the team can avoid the risk of expensive misalignment when the team is growing.

Related articles:

• 8 Best Project Management Software In 2026 | +25 Apps Tested
• 35+ Mind-Blowing Project Management Statistics for 2026
• 6 Best Jira Alternatives | 25+ Personally Tested Apps (2026)
• 6 Best ClickUp Alternatives | +25 Apps Tested (2026)

37% of SMBs use performance management modules

According to Biz4Group, SMBs are massively adopting performance management systems. These tools can actually play a crucial role in tracking goals, assessing productivity, and tying outcomes to incentives, improving retention and engagement.

As over one-third of SMBs have adopted performance management, it’s a signal that small businesses are thinking beyond day-to-day operations toward long-term retention.

Tech investments are rising across small business functions

According to the Verizon Business State of Small Business Survey, 38% of SMBs utilized AI for marketing, recruiting, and customer service, and 47% improved their cybersecurity in 2025, indicating that businesses are adopting more technologies beyond their basic software stacks.

It’s evident from this that the use of project and productivity tools will require them to be linked with security and automation layers to be efficient.

AI tools help SMBs save time and money

AI automation has one significant benefit: speed. The Thryv small business AI adoption survey points out that numerous SMBs leveraging AI are announcing that they save time more than 20 hours monthly and save costs ranging from $500 to $2,000 every month.

The fact that automation is transitioning from a niche to a baseline behavior indicates that the 2026 workflows will consider AI as a support for routine operations.

Related articles:

• 15 Best AI Tools | 200+ Apps Tested By A Skeptical (2026)
• 7 Best Productivity Apps I Use In 2026 | 100+ Tools Tested
• Best 9 AI Note-Takers | My Top Picks After +2 Years Testing (2026)
• 5 Best Bot-Free AI Note-Takers In 2026 (NOT What You’d Think)
• 27+ Surprising AI Assistant Statistics You Must Know in 2026
• +30 REAL AI Statistics For 2026 (What No One Tells You)

Small Business & SaaS Adoption Statistics

The numbers indicate that technology adoption is no longer reactive for SMBs; it’s becoming a deliberate, strategic choice in 2026.

Let’s take a closer look at the implementation of the SaaS applications!

Technology use is widely planned among SMBs

According to a tech report on small businesses by the U.S. Chamber of Commerce, 84% of small businesses intend to ramp up their utilization of tech platforms, such as automation, AI, and digital workflows, which is a clear indication of substantial investment in the future.

This purposeful tech adoption by SMEs is, in essence, an operational management priority rather than merely a growth tactic, 2026 and beyond.

78% of small businesses have invested in SaaS solutions

According to the SaaS Adoption Statistics by Meetanshi Technologies, an astounding 78% of small businesses have invested in SaaS solutions. This means that the integration of SaaS has become almost seamless across the different functions like finance, HR, and operations.

SaaS has ceased to be a revolutionary tech; the majority of SMBs are dependent on cloud apps for the execution of their core processes. In 2026, companies that evaluate SaaS holistically will unlock better integration and lower overhead.

The SaaS market will reach $1.25 trillion by 2034

What’s the reality behind growing SaaS adoption? 2025 was a blast, and the market size was estimated at $408.21 billion. As it stands, Precedence Research has forecasted the global SaaS market to reach $1, 251.35 billion by 2034. That’s a staggering CAGR of 13.32%. This is a result of the unending demand for tools that are scalable and budget-friendly.

Amidst these numbers, rapid SaaS growth means small businesses are set to enjoy affordable, scalable, AI-powered tools that facilitate innovations and easy integrations. 

Global SaaS spending was estimated at $300 billion in 2025 

SaaS adoption has been the trend in recent years. Based on Gartner’s worldwide cloud spending forecast, SaaS spending was expected to reach $299,071 billion in 2025. This shows that companies are getting more intentional about what cloud infrastructure and CIPS could do for them.

If you manage a small team, the numbers signal that cloud software is becoming cheaper and even more competitive. So, focus on investing in SaaS systems in 2026, as early adoption has a greater and long-term advantage.

Key Takeaways From Data Insights for Small Business Owners

Small businesses are being more deliberate about software adoption. Choices are mainly influenced by costs, return on investment, and real business effects, rather than following trends. Modular, cloud-based solutions are winning by far, in one package, thus SMBs get the freedom and the possibility to grow without the risk of too much complexity.

Making decisions based on data is now the minimum that must be done, whereas simple HRIS and project management tools help to increase both productivity and employee loyalty.

Wrap-up: Small Business Software Statistics for 2026

Firstly, executives must review their software ecosystem based on different categories such as ERP, HR, project management, survey, and finance automation tools. To get the most out of efficiency, a company needs to focus on cloud solutions, system integration, and mobile accessibility.

Related articles:

• 25 Eye-Popping Time Management Statistics 2026
• 18 Productivity Apps Statistics You Need to Know in 2026
• 13 AI Productivity Statistics That Will Blow Your Mind For 2026

At the end of the day, it should be a business objective to employ well-organized consumer insight and survey data to not only confirm their assumptions but also to adjust their strategy and make sure that their software investments are generating tangible returns for the business.

Frequently asked questions

What’s the best software for a small business?

It’s a tough question since it depends on what they actually need. It can be analytics tools, productivity apps, or AI-powered software applications.

Here are our must-have apps that all small business owners need:

• Toggl Track to track time and productivity
• Monday.com to manage projects
• Fellow for AI note-taking
• Tenorshare PDNob for PDF editing
• Notion for knowledge management
• Xodo Sign for esignatures
• Missive for email management and collaboration

Which software is best for business analytics?

Probably the most popular and easy-to-use option is Microsoft Power BI Premium. It helps a lot in data visualization and provides some useful data analytics tools.

How to measure small business performance?

I recommend using some tools to track KPI’s. Some business apps you can use for this are project management apps.

You can check out the project management app library here to find the best one for you.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post 15+ Small Business Software Statistics That Matter in 2026 appeared first on .

Moreover, many products and services we use daily rely on implementing AI solutions. Next time you turn on Netflix, remember they also use machine learning.

Although it may seem like AI is still far away in the future, many small businesses and startups have already started integrating AI into their operation. The truth is you do not need to understand how AI models work. However, you need to know how they can serve your business in the best way. 

In this article, I collected the best practices for using AI in your business. Discover twelve ways how AI can revolutionize your operations and unlock new opportunities for your business.

Is Artificial Intelligence relevant to every business?

In short, yes. The longer version, as always, starts with the good old “it depends on.”  The approach to how to and to what extent implementing AI varies depending on the industry and the specific nature of the business itself.

There is no one-size-fits-all AI solution, as each company requires a tailored strategy to leverage AI’s power effectively. 

Factors impacting AI implementation

To illustrate this point, let’s consider the difference between a startup and a local shop.

While a startup might have more opportunities to implement AI technologies across various aspects of its operations, a local shop may have more limited options. It sounds intuitive that a tech-focused startup company has more opportunities to implement AI into their operations, but let’s dig into the reasons behind it. 

The fact that a local shop has more limited options is due to the nature of the business and the development stage of AI. The current AI projects focus on more significant, valuable markets, like ads optimization or web searching. These AI initiatives are more suitable for a startup than a local manufacturing shop.

Furthermore, the integration of AI can vary significantly between Startup A and Startup B, based on factors such as industry and the stage of their startup journey.

While the relevance of customer support might be high for Startup A in a B2C market, Startup B might not reach the point when AI implementation makes a big difference or just operating in an industry where customer support is not an essential part of business.

Tips For What AI Can Do For Your Business

But now, you can ask how can AI help my business. So, let’s dive into AI technology and its business benefits.

Customer experience

Businesses have various ways to utilize generative AI throughout the customer journey. A typical customer journey is a long process starting from marketing to providing customer support. 

During this journey, there are various touch points with the customers when a generative AI platform can help to solve business problems.

Generative AI solutions use text input to create text, pictures, videos, or music. These AI systems generate content or data based on previous patterns and examples. 

Related post: Top 27 Promising Generative AI Companies

Using AI for customer communications, such as Voice Al Receptionist, can be an excellent way to improve efficiency, responsiveness, and overall customer satisfaction. It also helps lower your cost when you start your own business, which generally requires a massive customer support team. 

It might sound theoretical, so dig in more to see how to empower customer experience with AI in your business.

Personalized services

It is not a secret that many tech companies already use generative AI in their business processes to provide more personalized services. 

Netflix deployed generative AI to suggest movies and TV shows tailored to each user’s preference. Netflix’s AI solution uses factors like viewing history, ratings, and reviews to make the best recommendation and increase engagement. 

Amazon also uses generative AI solutions to provide tailored product recommendations to its customers. Their AI model takes into account purchases, browsing history, and search terms. 

Although both Netflix and Amazon had a huge database when implementing their AI solutions, there are AI-based solutions that do not require a massive database to work effectively. 

Analyze customer data and predict leaving

AI will be a powerful tool for predicting customer churn, which refers to customers leaving a business. This problem is challenging because it involves analyzing vast amounts of data and interactions over time. 

It cannot be easy to understand how different customer behaviors interact with one another. But this is precisely a problem that fits an AI model due to the massive amount of data and patterns. 

There are already AI initiatives like H2O.ai or SupportLogic, which help to predict customer churn, so you will have a chance to change costumer’s minds in time. 

Customer support with machine learning

Chatbots can create more efficient customer interactions using machine learning and natural language processing. It can reduce both first-response and handling times for human customer support employees. 

When you are starting your own business, these chatbots do not just save time, but they can save a ton of money. 

At some point, you will need someone handling the more complex client queries, but having a chatbot on your side gives you extra time to prepare financially for adding a new team member. This strategic approach ensures a smoother transition and allows you to allocate resources more effectively.

Depending on the industry, you can add AI capabilities to customer support for text messages, phone calls, and emails. 

Content creation

Believe me, creating content is a time-consuming process. Unsurprisingly, most businesses invest between 2 and 5 hours to craft a single blog post.

And when it comes to Instagram, the average time spent on creating a post ranges from 30 to 85 minutes.

Related articles:

• 15 Best AI Tools | 200+ Tested By A Skeptical (2026)

Understanding the time investment in social media

Let’s do a quick math and calculate how long it takes to create one blog post and daily social media post weekly. It can add up to 4.5 to 12 hours per week, not to mention the brainstorming phase of content creation. 

You see, content creation demands a significant chunk of time, effort, and specific human capabilities.

However, you can significantly shorten the content creation process by using AI algorithms. To make a blog post, you can use tools like AI-Writer to be more effective and reduce the time spent on first drafts. 

There is a huge emphasis on the fact that most AI implementations will help you to be more effective. Nevertheless, it will not save you from adding real value. 

AI-based solutions can be implemented for video content creation, editing, and image generation tasks. Here, FlexClip, a user-friendly online video editor with AI-powered features, can become your partner.

The goal is to outsource the most repetitive task to AI when creating content to allow you to focus on business objectives. However, as you scale AI-powered content production, it’s important to verify the authenticity of your output. Running your drafts through an AI checker helps ensure the final content maintains a human touch and meets quality standards before publication.

Does AI really increase costs?

The two main benefits of using AI are cost-effectiveness and it can save a lot of time. You might initially think that subscribing to or implementing AI increases costs.

And you are maybe right. 

It is worth calculating your costs before AI implementations to see how much money would save, or it would just simply add to your expenses. There is an excellent way to decide this.

To calculate this, consider how much it would cost to hire a freelancer or agency to handle your content creation. Ideally, you should know their hourly rates and the number of hours they spend on content creation per month.

Once you know hourly rates and spent hours, you can simply compare them to the cost and time requirement of AI implementation. If you have employees, you can also compare their hourly rates to see which option proves more financially viable.

If you are bootstrapping and doing your business on your own, you can do the same practice and compare your hourly rates to the subscription fee. 

Implementing AI solutions to improve internal processes

Adopting AI in day-to-day workflows can be a massive boost for your businesses. It is worth it to take one step back and think through what are the repetitive tasks that you are doing on a daily basis. It can be coding, report-making, and many other activities. 

You can first use just free AI tools or try some trials and see how it impacts your time spent on these repetitive tasks. If you are getting more comfortable with AI platforms, you can try more advanced tools for money.

But remember, if you are just starting your business with a limited budget, delegating as much work to AI tools can be key to saving time for your core product. 

Cybersecurity and fraud management

Startups developing AI-powered cybersecurity solutions gained a lot of traction in the past couple of years. Many financial institutions have already completed a successful AI implementation and use them to prevent cybersecurity and fraudulent activities.  

AI learns faster by using machine learning and deep learning techniques so it can be a good answer to cybersecurity attacks. 

However, AI-powered cybersecurity systems have just started their journey, and there are many risks and challenges that it needs to overcome. 

Gaurav Keerthi, Deputy Chief Executive Officer at Cyber Security Agency of Singapore, says

Many AI Security Tools, for example, Crowdstrike or Vectra, are already on the market.

Using emerging technologies has always been a risk, but it also can give you a competitive advantage. If you have reached the point when security becomes a huge issue for you, it is also worth looking at AI-based solutions.

More effective data analysis

We are living in a data-driven culture, and AI already has a substantial impact on data analysis. Its ability to analyze a vast amount of data, find patterns, and identify opportunities or pain points can improve the effectiveness of data analysis. 

If you are somebody who not only uses an AI application but also develops one for your business needs, you also need to consider using the best GPU, as top-tier hardware is essential for advanced data analysis, automation, and predictive modeling. 

Although generative AI solutions have gained some significant traction recently, predictive AI tools would also deserve credit. Predictive AI platforms utilize data mining, statistics, machine learning, and mathematics to create forecasts based on historical data. 

What would it be like in real life?

Imagine a restaurant that uses a demand forecasting system to order meal ingredients. Instead of making intuitive decisions, it can have a data-driven approach based on clear facts and high-quality data.

This strategy will not only cut down on waste but it will also boost efficiency. This is something that is seen increasingly in other industries, such as those which utilize storage solutions using shipping containers. These containers can be tracked and optimized with AI to streamline supply chains and reduce operational costs.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

Optimizing supply chain operations

According to Gartner, over 80% of new technologies used in supply chain management will involve AI and data science by 2025. Implementing AI can help in inventory management, tracking, and warehouse automation. 

Based on Mckinsey’s research, AI-powered supply-chain systems helped early adopters to improve logistics costs by 15%, inventory levels by 35%, and service levels by 65%. 

AI automation can be especially crucial for small businesses where tracking and inventory management are fulfilled manually. AI can minimize errors and increase efficiency in supply chain operations.

AI-enabled quality control and quality assurance 

Not every business can profit from AI development in the same way. AI-enabled quality control and assurance is great for a manufacturing company, but it is not relevant for a software company. 

A quality control AI program uses computer vision, machine learning, and data analytics to identify defects and anomalies in real-time. It can fully automate the quality control processes and reduce the number of defective products and related costs.  

AI personal assistants

A personal AI assistant refers to a software program that utilizes technologies like natural language processing (NLP) to understand and respond to voice and text commands. These assistants are designed to perform tasks similar to human assistants, including reading text, transcribing dictation, making phone calls, and performing numerous other functions. For instance, Siri.

The AI assistant market is a rapidly growing competitive market. Many valuable tools on the market can boost your productivity besides completing personal tasks. For example, tools like Otter or Fireflies can be deployed during online meetings to replace manual note-taking.

AI-powered video surveillance

AI-powered video security systems improve business security through real-time video analysis. It can detect suspicious activities, track individuals, and reduce false alarms without continuous human oversight. While larger businesses or those in security-focused industries gain the most from these systems, smaller businesses can also adopt AI surveillance for better monitoring and efficiency.

As AI technology becomes more available, its use in video surveillance will likely expand across different businesses.

Build a more intelligent product

Many examples exist when businesses integrated AI into a “classic” product.

Recently, Urtopia revealed its Fusion e-bike. This is the first bike that integrates ChatGPT and built-in speakers into the bicycle. These features work as a personal tour guide for riders.

Imagine pedaling through a city while having an AI companion to provide you with information on nearby attractions, local landmarks, and the captivating history behind each site.

Even though implementing AI into a product is a massive challenge, thinking out of the box with AI technologies can unlock a new world of possibilities. 

AI-powered software testing and quality assurance

As your business scales and relies more heavily on digital products, maintaining software quality becomes critical. AI can significantly improve testing efficiency and reliability by automating repetitive test cases, detecting bugs earlier, and adapting to UI changes. Modern AI testing tools use machine learning to analyze application behavior, prioritize high-risk areas, and reduce maintenance overhead for test scripts.

Instead of relying solely on manual testing, businesses can leverage AI-driven automation to accelerate release cycles while maintaining high quality. This approach not only saves time but also minimizes costly production issues. For startups and growing companies, integrating AI into quality assurance ensures faster innovation without compromising user experience or product stability.

Faster website creation

Every business starts with a website. Recently, numerous new brands have appeared that offer AI solutions for creating a personalized website in ten minutes.

So, if you need a basic website fast, AI can be an excellent solution for this. Nevertheless, the manual design work still represents a higher quality based on my experience. Although it’s worth mentioning that it is way more expensive.

If we take a look at the web design cost lists, we can see that a website design prepared manually starts from $6700. In short, higher quality means higher prices.

The question is, how long will it stay like this?

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post 12 Tips For What AI Can Do For Your Business appeared first on .

In this article, we break down what is exactly an AI assistant, what are the categories of AI assistant and how you can use it in your business.

What is an AI assistant?

An AI assistant, also known as an artificial intelligence assistant, refers to any digital tool or application that utilizes generative artificial intelligence technologies to perform specific tasks, answer questions, or carry out commands.

AI assistants are frequently cloud-based, so you can access them virtually anywhere, as long as you have a stable internet connection.

How does an AI assistant work?

AI assistants use artificial intelligence, more specifically, generative AI technology. Generative AI creates new content or data based on patterns and examples by using machine learning.

Generative AI models use text input for text generation, image generation, video creation, or music composition. Due to machine learning, AI assistants can learn from past interactions, improving the accuracy of their responses over time. 

Generally, there are two ways how you can interact with generative AI tools. It can follow voice commands by utilizing natural language processing for speech recognition. Also, AI assistants are capable of understanding text messages.

For instance, ChatGPT understands text messages, while a Google assistant uses voice commands.

Cloud computing is another crucial technology that plays a significant role. AI assistants can access extensive data to handle various tasks and deliver instant feedback to your queries. 

What are the categories of AI assistants, and how can you use them

There are more types of AI assistants depending on the type of tasks and their functionalities:

AI personal assistant (AI virtual assistant)

If you hear the terms like AI virtual assistant, automated personal assistant, or intelligent personal assistant, just remember they all refer to the same thing: AI personal assistants.

An AI personal assistant is software designed to understand natural language voice and text commands and carry out tasks for the users. It focuses on tasks mostly handled by human personal assistants or secretaries in the past. 

One of the most common types is the AI voice assistant. It has the ability of speech recognition, and you can communicate with it by voice interaction in multiple languages. I am sure you have come across names like Google Assistant, Alexa, and Siri before, as they are some of the most popular AI voice assistants out there.

People who use “AI assistant” and “personal AI assistant” or “AI virtual assistants” are often used interchangeably. However, they are not the same. 

An AI assistant has broader functionalities, while personal AI assistants are often designed to support an individual’s daily activities, work, or lifestyle. People use AI personal assistants for various tasks. Personal AI assistants are great for increasing productivity, controlling your smart devices, and capable of sending messages, and making phone calls. 

AI writing assistant

Content creation is one of the issues when AI can do a lot for your business. Generating content is a time-consuming process. Unsurprisingly, most businesses invest between 2 and 5 hours to craft a single blog post. And when it comes to Instagram, the average time spent on creating a post ranges from 30 to 85 minutes.

Let’s do a quick math and calculate how long it takes to create one blog post and daily social media post weekly. It can add up to 4.5 to 12 hours per week, not to mention the brainstorming phase of content creation. 

The goal of AI writing assistants is to speed up the process of content creation. For making a blog post, you can use tools like Jasper to be more effective, which reduces 80 percent of your time spent on first drafts. AI writing assistants are great at creating outlines for your content, giving you excellent suggestions for titles and brainstorming.

Although using AI writing assistants will make you more productive, overusing them can hurt your content. One of the main issues which still frequently arises with AI writing assistants is that the output is not always accurate.

Furthermore, many AI writing assistants still have room to improve in plagiarism-free writing. Tools like Undetectable AI can help refine AI-generated text to sound more natural and human-written.

The best thing you can do is to go through as many reviews as you can to make sure the specific AI writing assistant is a good choice for you.

AI coding assistant

AI coding assistants are a valuable tool to support software developers. It helps to reduce the time spent on code writing using autocomplete functionalities. AI coding assistants can also help reduce the number of coding errors by providing instant feedback to the developers.

According to Microsoft’s research, developers can perform tasks 55,8 percent faster when utilizing an AI assistant. They selected a group with an average coding experience of 6 years and an average coding experience of 6 years and spent 9 hours coding daily. 

The improvement of AI coding assistants will not likely stop. Google announced a partnership with Replit at the end of March. Replit is a software startup that has web-based coding tools with more than 20 million users. Thanks to the partnership with Google, they are planning to combine Google’s artificial intelligence language models with their products. 

AI meeting assistant (AI meeting manager)

It is not a secret that many businesses waste significant time and money on unproductive meetings. AI meeting assistants can help you in many ways to reduce wasted money and time to make you more productive. 

Meeting records

You can entirely automate your meeting by integrating AI meeting managers with your Google or Microsoft calendar. For example, Fireflies.ai or Otter AI is one of the AI meeting managers which seamlessly joins and records your meetings on platforms like Zoom, Microsoft Teams, and Google Meet. 

Automated meeting notes

AI writing assistants can record and transcript the virtual meetings. By integrating AI meeting assistants with your Google or Microsoft calendar, you can entirely automate your meeting notes. 

This automation saves you the hassle of manually setting up recordings and captures important discussions and details. 

Meeting Summary

Once the video calls are concluded, your AI meeting manager takes care of sending meeting summaries to the colleagues who missed the call.

Virtual meeting analysis

AI meeting assistants already provide insight into speakers, topics, sentiments, and more. With this comprehensive data, you can easily compare trends and evaluate the overall quality of your team’s conversations.

Better search capabilities

You can use your AI meeting manager to find keywords in the online meeting, including action items, dates, times, metrics, questions, sentiment, and more.

Create video clips or highlight with transcripts

Some AI meeting manager tools already offer the option to create an easy-to-share video based on the selected part of the meeting transcripts. By selecting text in the meeting transcriptions, you can create video clips to share the essential part of the meetings with the key stakeholders in minutes.

In this article, I ranked and reviewed the eleven best AI meeting assistants to help you select the one that suits your needs.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

AI assistant vs. chatbot

You might wonder whether an AI assistant and chatbot are the same or what is the difference between them.

Good question. Let’s break it down. 

Rule-based chatbot and AI-powered chatbot

There are two types of chatbots. Traditional chatbots are rule-based chatbots, while there are AI-powered chatbots. AI-powered chatbots use conversational AI technology, which is quite similar to the technology used by AI assistants. 

Conversational AI includes a wide range of AI solutions that utilize data, machine learning, and natural language processing to provide voice and text-based output. This technology helps AI powered-chatbots or AI assistants naturally interact with humans. 

For example, ChatGPT is a conversational AI chatbot, while many of the chatbot used for customer service is mainly rule-based chatbot. 

From a technology perspective, there is no significant difference between AI assistants and AI-powered chatbots.

Nevertheless, there are major differences between AI assistants and traditional rule-based chatbots. 

What difference between an AI assistant and a rule-based chatbot

While chatbots and AI assistants use natural language processing to understand the intent behind the user’s queries, there are essential differences. 

Chatbot has a rule-based structure with predefined answers that can mostly handle frequently asked questions. AI assistants have the ability to answer more complex questions and make recommendations using machine learning. 

Furthermore, the chatbot mainly provides robotic answers, while an AI assistant can answer in a more human-like way.  

In general, chatbots are great when it comes to handling simple problems. However, AI assistants can deal more effectively with complex issues. 

Future of AI assistants

As with all disruptive technology, AI is very divisive. Some choose to ignore its potential and pretend it doesn’t exist. While on the other hand, there are individuals with incredibly high hopes and expectations for what AI can achieve very shortly. 

This is mainly because AI technology is evolving at such a high pace. It is challenging to understand what implications it may have. In the current stage of the AI industry, separating the hype from the reality is crucial.

Yes, there is hype around AI. And this hype is getting closer to the peak of the inflated expectations phase in the Gartner Hype Cycle. 

Just because there is hype, AI is still a transformative force. AI assistants and tools are getting better and better. Although it has limits and has room to improve, you can already reach significant advantages if you implement AI assistants into your everyday working routines. It highly affects fields like sales, task and project management.

While the idea of AI replacing humans is a topic of discussion, it is not the right question now. The question you should focus on is how you can add more value and be more productive while delegating various repetitive tasks to the AI assistant.

AI technology will change how fast you can give more value rather than the concept of value. AI technology alone cannot create value; instead, it acts as a catalyst to enhance your abilities and efficiency once you know how to utilize it effectively. Ultimately, embracing AI as a productivity tool helps you to work smarter, faster, and with greater impact. 

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post AI Assistant Explained: Complete Guide for 2026 appeared first on .

As artificial intelligence leaps forward, sales teams have the opportunity to leverage AI’s capabilities to support sales and drive efficiency, precision, and dynamism in their approach. In this article, we delve into the ways AI can increase your leads and help you to close more deals.

What is AI in sales? 

AI sales tools use artificial intelligence to streamline and simplify the sales process. AI technology enables these tools to perform specific tasks, interact with humans, and predict behavior.

Such tools can use generative AI or predictive AI functionalities depending on the tasks. 

Generative AI functionality

Generative AI creates new content or data based on patterns and examples by using machine learning. These models use text input for text generation, image generation, video creation, or music composition.

Predictive AI functionality

A predictive AI tool uses predictive analytics to analyze data and make predictions or forecasts. Such AI solutions can make pretty accurate predictions based on patterns and tons of historical information.

Why can AI transform sales?

You may wonder why sales could be one of the most affected fields by AI. If you imagine a sales rep, you would think they make sales calls every minute, and AI can not sell instead of them. 

The truth is only 33% of inside sales-rep time is spent actively selling. The rest of their time is spent on administrative tasks and meetings. 

AI has two major benefits if implemented correctly in sales operations. 

Improved sales team performance

Using AI in sales can help evaluate how a sales team performs and minimize the number of sales reps participating in the sales meeting. It can significantly improve the overall job performance of sales teams.

Based on McKinsey’s report, early adopters of sales automation have efficiency gains between 10 and 15 percent. So, by hopping on the automation train sooner rather than later, you are setting yourself up for smoother operations, higher productivity, and a leg up in the competition.

Streamlining sales processes

Most of the sales reps spend too much time on administrative tasks during a sales cycle. According to the same McKinsey’s report, a third of all sales reps’ time and tasks can be automated.

One of the biggest advantages of AI tools is they can effectively handle and automate repetitive tasks like data entry. So, sales reps can spend more time closing deals and more human-focused sales tasks.  To get the most out of AI, teams need a solid operational foundation—these sales operations tools can help you standardize workflows, maintain clean data, and scale execution.

5 ways you can use AI sales tools

Here are five applications of AI in sales to skyrocket your sales performance.

Analyze calls to improve sales reps’ performance

There are AI meeting manager tools that are capable of analyzing online meetings. Once the online meetings are over, an AI meeting manager provides key insights into speakers, topics, sentiments, and more.

With this comprehensive data, sales leaders can easily compare trends and evaluate the overall quality of their team’s sales calls. 

Besides the analysis, AI meeting managers have useful functionalities to completely automate sales reps’ online meetings. AI meeting managers can record and transcribe virtual meetings in many languages and send the participants a summary. This way, a sales call can be fully automated, and the teams can focus on sales opportunities.

Ultimately, an AI meeting assistant app with these functions can greatly improve sales professionals’ performance. 

Access to advanced data and analysis 

The selling process includes a significant volume of data. Just imagine how many email chains and calls typically rise up during a sales process.

One of the strengths of generative AI is the ability to work effectively with a vast amount of unstructured data. AI solutions can easily characterize, gather, and analyze customer data. 

Just to put it into perspective, Gong, for example, can capture customer interaction and analyze it with AI. This AI tool provides accurate insights into customer interactions, whether it is a call or email. It monitors every interaction and gives detailed and on-time recommendations for each customer.

Improved sales forecasting

Sales forecasting refers to the process of estimating the future volume of sales based on historical data, market trends, customer behavior, and other factors. AI in sales can significantly improve forecasting accuracy for businesses. 

AI uses machine learning and data science to analyze data and identify patterns based on customer data and previous sales outcomes. Once the patterns and trends are identified, the AI-powered tools can create reliable sales predictions. 

Relying on AI in sales forecasting can save sales teams a lot of time and money by automating and streamlining sales forecasts. 

While making the forecast is one thing, AI can also provide reports, visualizations, and metrics to sales teams to make it easier to understand and communicate sales performance. 

There is no doubt that AI can improve forecasting accuracy. However, sales teams should know some challenges and limitations before implementing AI sales tools. As with every other AI tool, the data quality and availability are key. 

Essentially, if your sales team has an incorrect, outdated dataset, the AI sales tools will give you an unreliable forecast. Before integrating AI in sales, ensure you have consistent and correct data to get the best result. 

Personalized cold email outreach

One of the biggest challenges for sales reps is email outreach. According to LinkedIn’s research, buyers respond much better to personalized emails, improving click-through rates by 14 percent and conversion rates by 10 percent.

An AI assistant can generally help sales reps for more efficient cold email generation. It can make emails more personalized based on public data land machine learning. Simply using merge tags is not personalization, and AI tools can provide much more. 

For instance, Lyne can help sales reps write thousands of introductions per hour by monitoring each potential buyer’s online profile (LinkedIn profile, company website, and more).

Although not every cold email or reply will be a lead, one thing is certain: using AI for scaling your outreach campaign will boost your sales reps’ chances of improving click-through and conversion rates.

Related articles:

• How to Increase the Productivity of Sales Teams in 2026?

Price optimization

The price matters. According to PwC’s research, 60% of shoppers choose a specific retailer because “their price is right.” With AI on board, you do not need to rely on guesswork when determining the optimal discounted price for closing a deal. 

AI tools can provide sales reps with valuable market dynamics and customer behavior information and recommend optimal pricing strategies. AI in sales uses data from the past and different product characteristics to alter pricing due to the changes in the environment in a much more dynamic way.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

FAQ

How can AI help a sales team?

AI can help in many ways to sales teams, such as:

• Analyze calls to improve sales teams’ performance,
• Provide access to advanced data and analysis,
• Forecast sales,
• More effective and personalized cold email outreach,
• Price optimization.

Will AI replace salesmen?

AI supports sales teams and does not replace them. It can be a powerful ally that complements rather than replaces the human factor. Essentially, AI will not replace sales reps, but it will significantly transform their role and make them more effective. 

According to Salesforce, 97% of sales leaders say AI gives sales reps more time to sell. Using AI will decrease the time spent on administrative tasks like manual data entry, so sales reps can focus on clients more. 

How to use AI for sales forecasting?

AI can improve forecast accuracy by predicting customer behavior and estimating future sales volume based on data from the past, market trends, and other factors. Besides making the estimation, it prepares sales reports and metrics for the sales team to help them understand and communicate the sales performance more easily. 

What is the future of AI in sales?

AI is a transformative force in the field of sales. Sales automation has already begun, and sales jobs are changing. The future of AI in sales holds numerous opportunities, from sales forecasts to performance management. It helps to improve the sales processes, which can ultimately increase sales and lead to more deals. 

However, sales leaders should have realistic expectations regarding AI and machine learning. AI technology heavily relies on correct and updated data. Therefore, sales teams deploying machine learning should ensure access to relevant, reliable, clean data and comply with security standards.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post AI in Sales: 5 Techniques on How to Skyrocket Your Sales With AI appeared first on .

While some view artificial intelligence as the ultimate game-changer, others remain skeptical and consider it as just another passing hype. However, one thing is sure: AI-powered tools are becoming increasingly popular, and AI usage in everyday life is no longer science fiction.

In this article, I will dive into the latest AI assistant statistics and market trends in 2026. I will cover the relevant statistics and facts about AI-powered assistants, including AI writing assistants, AI coding assistants, AI meeting assistants, AI sales assistants, and AI virtual assistants.

What is an AI assistant?

An AI assistant, also known as an artificial intelligence assistant, refers to any digital tool or application that utilizes generative artificial intelligence technologies to perform specific tasks, answer questions, or carry out commands.

AI assistants are often cloud-based, so you can access them remotely anywhere, as long as you have a stable internet connection.

We can divide AI assistants into five major groups:

• AI writing assistants,
• AI coding assistants,
• AI meeting and scheduling assistants,
• AI sales and marketing assistants,
• AI virtual assistants (personal assistants), including voice assistants.

AI writing assistant statistics

An AI writing assistant utilizes machine learning and helps in the process of content creation. These tools were among the first things people started implementing when exploring AI functions.

Businesses can benefit from artificial intelligence during the entire process of content creation: 

• Idea generation and brainstorming,
• Topic research,
• Search engine optimization,
• Automated content creation,
• Improving existing content,
• Making visualization.

AI-based tools leverage natural language processing (NLP) to analyze text and provide suggestions. Essentially, an AI writing assistant can increase performance and creativity while significantly cheaper than delegating content marketing to an agency. 

Using generative AI for content creation increases performance by 58%

As per eMarketer’s survey, businesses using generative AI for content creation increased their performance by 58%. The respondents also confirmed that generative AI improved their creative variety and cost-effectiveness by 50%. 

Additionally, those who applied generative AI during content creation reported shorter creative cycles, as per the feedback from the survey participants.

4% of small businesses use artificial intelligence for content creation

4% of small-scale businesses already use artificial intelligence for content creation purposes. Such numbers include every activity in the course of crafting blog posts or social media posts. 

Content creation is one of the issues when AI can do a lot for your business. Generating content is a time-consuming process. Unsurprisingly, most businesses invest between 2 and 5 hours to craft a single blog post. While bigger companies might have sufficient resources and personnel for content creation, this is different for small businesses. 

AI writing assistants are great for speeding up the content creation process. Essentially, it can save money and time during content creation for those small businesses that aim to scale their operation.

Bloggers who use AI spend about 30% less time creating a post

Bloggers who utilize AI can reduce the time they spend creating a post by approximately 30%. Although AI writing assistants can make you more effective, the time saved using such tools ultimately depends on how much you rely on AI technology. 

Not utilizing the latest technology in your business is a mistake. Nonetheless, overusing or relying on them too heavily can also hurt your business. AI can be a powerful ally that can complement rather than replace human capabilities. 

Finding the right balance and implementing AI solutions into your content creation can speed up processes but will not save you from adding real human input.

AI writing assistant reduces 80% of time spent on first drafts

Jasper AI claims that using an AI writing assistant can reduce the 80% of time spent crafting your first draft. They also say that businesses using Jasper for content creation can reach a 3.5x return on investment. 

Even though we should accept these numbers with reservations, it points out an important fact: outsourcing the most repetitive task to AI when creating content allows you to focus on the more critical task that requires human capabilities. 

73% of consumers trust content written by generative AI

Even though generative AI can provide increasingly accurate responses with time, some consumers still have trust issues. On average, about 27% of consumers trust content written by AI less than content written by humans.

AI coding assistant statistics

AI coding assistants are a valuable tool to support software developers. The machine learning functions help to reduce the time spent on code writing using autocomplete functionalities.

AI coding assistants can also help reduce the number of coding errors by providing instant feedback to the developers.

Developers can perform tasks 55,8% faster when using an AI coding assistant

According to Microsoft’s research, developers can carry out tasks 55.8% faster when utilizing an AI coding assistant. They selected a group with an average coding experience of 6 years and an average coding experience of 6 years and spent 9 hours coding daily.

Although the quality of the developer’s work was not measured, increasing their effectiveness by 55.8% seems pretty impressive, which can be a real competitive advantage. 

The same effect was confirmed in ARK’s Big Ideas report, where software engineers who employed GitHub Copilot for coding tasks saved a remarkable 55% of their time.

If we look at the output side, ARK is estimating a 10X increase in output by 2030. Experts predict the future of AI in coding will be a game-changer for developers. Although generative AI currently faces many challenges, considering these AI statistics, it will be revolutionary in coding. 

57% of developers using AI in coding

57% of developers have already started implementing AI coding assistants in their workflows. Adopting AI in coding can enhance productivity and code quality and reduce development time. 

Due to the machine learning of generative AI, it analyzes codebases, identifies patterns, and recommends code refactoring and optimization. Although it does not replace developers, taking advantage of AI coding assistants can significantly accelerate coding.

AI coding assistant expected to grow at a CAGR of 41.2% from 2021 to 2028

Estimates suggest that the AI coding assistant market will reach a compound annual growth rate (CAGR) of 41.2% between 2021 and 2028, ultimately achieving a market value of $2.3 billion by 2028.

One of the most affected industries of AI technology is coding. AI continues to improve code quality, reliability, and consistency to accelerate the coding process further.

According to these AI statistics, AI assistants will help streamline web development, simplify mobile app development, and allow developers to create complex software systems faster.

30% of developers believe that their development efforts will be replaced by artificial intelligence in the foreseeable future

Evans Data Corporation, a California-based market research firm specializing in software development, surveyed 550 developers regarding the effects of AI on coding. 30% of the 550 developers believe that artificial intelligence will replace them in the foreseeable future. 

While it is important to note that the developers expressed only their opinions during the survey, we can not overlook that AI uniquely transforms industries.

It is reasonable to anticipate AI’s impact on coding, but the question of whether it can entirely replace jobs and when this might happen remains open. One thing is certain: AI will transform, create, and potentially displace jobs. 

AI meeting and scheduling assistant statistics

An AI meeting manager and an AI meeting assistant are essentially the same. Like every AI assistant, an AI meeting manager uses artificial intelligence and machine learning, specifically generative AI technology.

AI meeting managers are seamlessly integrated with your meeting and video conferencing platforms. So you can use your favorite tools like Google Meet and Calendar, Microsoft Teams and Outlook, or Slack. 

Depending on the specific AI meeting manager, it generally helps you with the following tasks:

• Recording meeting,
• Taking notes,
• Prepares meeting summaries,
• Meeting analysis,
• It helps you to find relevant information more easily in your meeting notes.

The most well-known AI meeting assistants are Otter AI, Fireflies AI, tl;dv, and MeetGeek.

Related content:

• Best 9 AI Note-Takers | My Top Picks After +2 Years Testing (2026)
• Best 5 Otter AI Alternatives | 20+ Personally Tested Apps (2026)
• 7 Best Zoom Note-Taker Apps: My Findings After 2 Years (2026)

Check out our library of best AI note-takers for more tools.

Businesses with over 100 employees spend an average of $420,000 per year on unproductive meetings

There is no doubt about how important meetings are in the business world. But what about the unproductive meetings?

According to Goldenstepsaba statistics, businesses with over 100 employees spend an average of $420,000 annually on unproductive meetings. AI meeting assistants can help in many ways to reduce wasted money and time to make businesses more productive.

Personalized schedule can save 40% of time

Reclaim says their AI scheduler tool can save 40% of the time by creating a personalized weekly schedule.

It is essential to note that the extent of time saved may differ significantly from person to person when using an AI scheduling assistant. Nevertheless, integrating such an AI assistant into your daily routine can make a difference in your daily routine. 

AI scheduling assistant can help you do 25% more tasks

Motion claims their AI scheduling assistant can help you do 25% more tasks. While time saved may vary depending on several factors, an AI assistant will make you more productive.

The real question lies in quantifying how much more you can accomplish using an AI assistant. 

Organizations can save an estimated $25,000 or more per employee per year by reducing unnecessary meeting attendance 

According to an Otter.ai report, businesses investing approximately $80,000 in AI meeting assistants can save $25,000 or more per employee per year by decreasing unnecessary meeting attendance. What does it mean for a business with 5,000 employees? 

Well, it would save an estimated $10 million per year by eliminating unnecessary meetings, based on the Otter.ai report. While AI adoption in online meetings can make a massive difference in the bigger companies’ cost savings, it can also be a great way to increase productivity and cost-effectiveness in a small business.

AI sales assistant statistics

AI sales tools use artificial intelligence to streamline and simplify the sales process. Artificial intelligence enables these tools to perform specific tasks, interact with humans, and predict behavior.

AI can help in many ways to sales teams, such as:

• Analyze calls to improve sales teams’ performance,
• Provide access to advanced data and analysis,
• Sales forecasts,
• More effective and personalized cold email outreach,
• Price optimization.

451% increase in qualified leads when using marketing automation software

Annuitas Group’s study reveals that marketing automation can boost qualified leads by 451%.

Automating marketing and sales processes helps businesses to increase ROI and overall growth. And lead generation is an essential part of acquiring more customers. 

Task automation can boost productivity by at least 27%

Automating administrative and time-consuming tasks for sales representatives saves time and grows productivity by at least 27%.

It may sound too optimistic, but the truth is only 33% of inside sales-rep time is spent actively selling. The rest of their time is spent on administrative tasks and meetings.  

Related articles:

• 35+ Mind-Blowing Project Management Statistics for 2026
• 25 Eye-Popping Time Management Statistics 2026

Third of all sales reps’ time and tasks can be automated

According to the same McKinsey’s report, a third of all sales reps’ time and tasks can be automated. Automating repetitive tasks is a good way for sales reps to focus on more critical tasks where the human factor is more important. 

97% of sales leaders say AI gives sales reps more time to sell

According to Salesforce, 97% of sales leaders confirmed that AI gives sales reps more time to sell. Using AI will decrease the time spent on administrative tasks like manual data entry so that sales reps can focus on clients more. 

14% of organizations utilize generative AI during marketing and sales processes

There is an explosive growth in the global AI market. The number of generative AI tools and applications is continuously increasing. In parallel, more and more businesses have started using advanced AI solutions.

Even though AI and machine learning will not impact every industry on the same level, AI adoption in marketing and sales is rising. McKinsey confirmed that 14% of organizations utilize generative AI for marketing and sales. 

While you would think these organizations are using specific AI sales tools, this is still not true. The most commonly reported uses of generative AI in sales and marketing are the following:

• Crafting the first draft of documents,
• Personalized marketing,
• Summarizing text document,
• Identifying trends. 

AI tools adaptation in sales is still in the early stages, and people mainly use some basic functions. However, there are already more applications of AI in sales to skyrocket sales performance.

29% of companies are already using or considering AI for marketing

Based on IBM’s report, 29% of companies already use or are considering using natural language processing (NLP) for marketing. When we consider both IBM’s and McKinsey’s reports together, there may be an estimated 10% to 15% of companies that have yet to implement AI but intend to do so in the future.

16% of organizations are utilizing AI tools for sentiment analysis

According to IBM, 16% of organizations are already using AI for sentiment analysis during sales and marketing. Each customer interaction has a wealth of information about customers’ feelings, opinions, and pain points.

Sentiment analysis leverages AI algorithms to examine these interactions, categorizing them into positive, negative, or neutral sentiments. By using AI, companies can easily better understand their customers. 

Related articles:

• 15 Best AI Tools | 200+ Tested By A Skeptical (2026)
• +30 REAL AI Statistics For 2026 (What No One Tells You)
• 15+ Small Business Software Statistics That Matter in 2026

30% of outgoing marketing messages from global companies will be generated by AI by 2026

Gartner reported that AI will generate 30% of outgoing marketing messages from global companies by 2026. One of the significant advantages of generative AI is the ability to handle vast amounts of information. AI tools in sales already exploit this ability and help prepare more personalized emails. 

Deploying AI for marketing messages can help businesses scale campaigns and enhance click-through and conversion rates.

62% of consumers are comfortable with generative AI in marketing and advertising

As long as it does not negatively impact the consumers’ experience, 62% of consumers are comfortable with generative AI in marketing, advertising, and sales.

Although AI in sales and marketing can be a boost for businesses, they also need to be aware of the challenges of AI, which is data privacy. The next few years will probably not just be about AI technology advancement but also how it will be able to comply with regulations. 

82% of sales professionals are most likely to use generative AI for basic content creation 

According to Salesforce’s survey, many sales professionals (82%) use generative AI tools for simple content creation. Additionally, 74% reported using generative AI tools to analyze market data, and 71% were inclined to use such tools to automate sales communications.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

AI personal (virtual) assistant statistics

An AI personal assistant is software designed to understand natural language voice and text commands and carry out tasks for the users.  

One of the most common types is the AI voice assistant. It has the ability of speech recognition by using smart speakers so that you can communicate with it in multiple languages. I am sure you have come across names like Google Assistant, Amazon’s Alexa, and Apple’s Siri before, as they are some of the most popular AI voice assistants out there.

Half of mobile users use voice assistants for search every day in the US 

Voice search continues to expand, with 50% of US mobile users using it daily, based on UpCity’s report. This trend showcases the increasing presence of AI-driven voice assistants in our daily routines.

Users primarily use digital voice assistants for searching for information, reminder setting, and sending text messages 

As per Artificial Intelligence Statistics, 92% of users utilize AI voice assistants for online searches, while 75% use them for setting reminders. Additionally, typical activities of voice assistant users include:

• Ask AI virtual assistant to send text messages (73%),
• Scheduling calendar events with AI-powered virtual assistant (69%),
• Request the AI virtual assistant to draft memos and emails (61%),
• Ask AI virtual assistant to place orders for products or services (57%).

Intelligent Personal Assistant Market Projected to Hit USD 83.66 Billion at a 34.13% CAGR by 2030 

Projections show that the AI-powered virtual assistant industry is ahead of a big boom (34.13% CAGR) and will reach a market size of $83.66 billion by 2030. Perhaps this is one of the fields that AI technology will entirely transform. One emerging technology gaining traction is the AI voice agent, which interacts with users through natural spoken language to provide seamless assistance across devices and applications. 

The growth of voice assistant’s user base decreased in 2022 (2.6%) compared to 2021 (2.9%)

In 2020, the user base of voice assistants in the US saw a massive boost, shooting up by 11.8%. However, the growth rate significantly slowed in 2021, with just a 2.9% increase in voice assistant users. The trend continued into 2022, with growth dropping to 2.6% compared to the previous year.

Internal data from Amazon revealed that about 15% to 25% of Alexa users stopped using Amazon’s Alexa roughly two weeks after activation. Amazon has cited consumers’ privacy concerns as the primary reason Alexa user retention is falling.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post 27+ Surprising AI Assistant Statistics You Must Know in 2026 appeared first on .

Approximately $48 trillion is invested in projects every year worldwide. Just to put this into perspective, the US had a GDP of $25.46 trillion in 2022. These are colossal figures, highlighting how significant AI’s impact can be for project management.

As AI continues to advance, its influence on businesses, particularly in the context of project management, is becoming increasingly significant. The pressing question is how AI changes project management and how project leaders can proactively adapt to this transformation. 

7 Key Applications of AI in Project Management

Let’s see the seven key areas of project management that AI will transform.

Improved resource management in project management

A project manager can utilize AI to allocate resources effectively. An effective resource allocation enables project leaders to use workforce, money, time, and assets at their full potential. 

AI project management tools monitor team members’ real-time availability, workloads, deadlines, and scheduled holidays. While AI helps to streamline project management processes, it also can have other positive effects. 

For instance, it helps to avoid situations where one team member is overloaded with projects while others have free capacity. In this way, an effective project management process can decrease the chance of burning out. 

Besides monitoring availability, AI uses other factors for the ideal resource allocation during project management tasks. AI project management automation tools consider factors like skills and project requirements.

This approach ensures that the right people are assigned the right tasks, increasing efficiency and productivity.

Project tracking

Project tracking is one of the basic features of all AI project management tools. Automating tracking milestones, budgets, and time is essential for every project manager to succeed. 

Project leaders can effectively monitor the whole project lifecycle, manage projects, identify potential risks, and track task progress with AI project management tools. By tracking project progress in real-time, these tools provide a dynamic view to monitor project progress to ensure projects stay on course.

Access to project data insights

We are living in a data-driven culture, and artificial intelligence already has a substantial impact on data analytics. Due to its ability of machine learning, artificial intelligence can analyze data and identify trends effectively. 

Using AI in project management will grant you access to project status reports and performance details. A project leader can have a full view of performance metrics, KPIs, and project insight to easily identify areas needing improvement. 

Risk prediction and mitigation during the project management process

An AI-powered project management tool can also play an essential role in risk management. Such solutions use big data and machine learning to identify risks based on historical project data and propose actions to mitigate the risks. Sounds cool, but how do these project management AI tools work? 

An AI-driven project management tool applies several techniques to find the correlations between the risk factors and outcomes. Analyzing vast amounts of data from previous projects will uncover the pain points of the project plan so you can allocate resources accordingly. It can reveal budget overruns, resource planning issues, or unrealistic due dates based on past projects. 

Such a project insight before even starting the project can be valuable and actionable when it comes to cost management. Having information regarding the last project’s budget overruns during project scheduling can be key. It helps project managers to optimize resource allocation properly.

A project leader applying AI solutions will be more likely to discover potential risks earlier, acquire data-driven risk evaluation instead of human estimates, and ultimately make risk management more reliable.

Advanced scheduling

An AI scheduling assistant is a tool that uses artificial intelligence to automate, manage, and schedule all your tasks. This includes automated meeting scheduling, task management, and planning. 

In a nutshell, An AI scheduling assistant can prepare a personalized schedule based on your input and preferences.

And how could it impact your productivity and increase the number of successful projects? 

Reclaim says their personalized schedule can save 40% of your time, while Motion claims that their AI scheduling assistant can help you do 25% more tasks. Although it can surely save time in project management, the amount of time saved may vary depending on several factors. 

However, even achieving half of the time-saving potential these tools promise can be a massive productivity boost for project management.

Virtual project assistants

A virtual project assistant with AI-powered features designed to understand natural language voice and text commands and carry out tasks for the users. AI virtual assistants utilize natural language processing to understand human language. 

Natural language processing is crucial to AI virtual assistants to understand text and spoken words as humans can. While understanding the human language is essential to interacting with a project manager, the ability of the machine learning model does the real trick in the background.

Artificial intelligence-powered virtual project assistants can learn from conversations and interactions. Essentially, it will continuously improve over time and will be able to perform various tasks during the project lifecycle. 

Combining the virtual project assistant’s machine learning with natural language processing makes it an excellent tool for managing projects more efficiently. 

Better team collaboration

On average, we lose around 31 hours each month to unproductive meetings. And if you are a manager, you are likely spending a significant chunk of your time, about 35-50%, in these meetings. Minimizing the time spent on online meetings can significantly boost the productivity of the project management team. 

AI meeting assistants utilize artificial intelligence, natural language, and speech recognition to understand text and verbal conversations. These AI tools are seamlessly integrated with meeting and video conferencing platforms. 

Typically, AI meeting assistants can help the project manager with the following tasks:

• Recording meeting,
• Taking notes,
• Prepares meeting summaries,
• Meeting analysis,
• Automated meeting scheduling,
• It allows you to find relevant information more easily in your meeting notes.

Nowadays, many meeting assistants use artificial intelligence, so finding the one that suits project managers best can be a tough challenge. To choose the right AI meeting assistant for project management, you should check four key aspects: 

• Whether it is compatible with the meeting platform you use, 
• Languages you use during online meetings,
• Functions you may require,
• Pricing of the AI platform. 

In this article, I ranked and reviewed the eleven best AI meeting assistants to help you select the one that suits your needs.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

FAQ

How is AI used in project management processes?

Artificial intelligence in project management has many applications, for example:

1. Resource Allocation: Artificial intelligence can assist project managers in optimizing resource allocation.
2. Automated Project Tracking: It enables the automation of project tracking, covering milestones, budgets, and timelines.
3. Performance Insights: Artificial intelligence provides valuable project and performance insights to enhance decision-making.
4. Risk Management: Project managers can rely on Artificial intelligence for more reliable risk management processes.
5. Task and Meeting Scheduling: Artificial intelligence helps schedule tasks and meetings to ensure project managers can focus on critical issues. 
6. Virtual Project Assistants: It offers virtual project assistants for smoother project execution.
7. Enhanced Collaboration: Artificial intelligence enhances collaboration and communication among team members.

What is the future of AI in project management?

Artificial intelligence in project management is all about automating tasks. Adopting AI in day-to-day workflows can be a massive boost for project managers. 

Generally, AI will probably take routine tasks from project managers. Nevertheless, complex tasks that require strategic thinking, project planning, coordination, and more human elements will probably stay with the project managers. 

It is worth it to take one step back and think through the routine tasks you are doing daily and whether it is possible to delegate them to AI-powered tools. 

Is AI going to replace project managers?

AI technology supports project managers and does not replace them. Similarly to other fields, AI is excellent at automating tasks and decreasing the project management office and managers’ time spent on administrative tasks.

Even though artificial intelligence constantly changes project management, it is a powerful ally that complements rather than replaces the human factor. AI will not replace project managers, but it will significantly transform their role. 

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post AI In Project Management: 7 Applications You Can’t Ignore appeared first on .

Let’s explore how AI revolutionizes contract management and the benefits it offers while not forgetting how vital human input is.

Key takeaways

• A business can use AI to automate and optimize contract management processes, providing cost savings, improved accuracy, and enhanced efficiency.
• Sales, finance, supply chain, and legal teams can leverage AI to reduce costs by automating repetitive tasks and optimizing processes.
• Human input is essential for accurate analysis of contracts, while regular updates are needed for AI systems to remain effective.

Natural Language Processing

AI’s ability to understand and analyze contract language can be attributed to Natural Language Processing (NLP). NLP algorithms can be trained to detect specific legal terms and important clauses.

This includes indemnification provisions, termination clauses, and payment terms. This allows for improved contract life cycle management.

AI-based contract management tools provide valuable features, such as:

• Automatic alerts or email reminders, based on names and dates identified within a document,
• Highlighting potential legal issues,
• Automatically redlining revisions,
• Proposing edits to enhance the contract’s efficacy.

These tools utilize AI to identify key terms and perform these tasks, making contract management more efficient and effective.

Machine Learning

Machine learning, a branch of Artificial Intelligence, enables computers to learn and make predictions or decisions without explicit programming, using data and algorithms. It uses algorithms use data to recognize patterns and trends, then apply those patterns and trends to make predictions or decisions, continuously learning and adjusting to new data.

Machine learning’s incorporation into contract management automates many tasks, including data extraction, workflow automation, risk management, and ensuring compliance. Additionally, machine learning can facilitate contract drafting, execution, review, and renewal, thus supporting the legal team’s work.

Despite these advantages, AI algorithms may still struggle with contextual understanding and require regular updates to remain current.

The role of AI in the contract management process

According to the Enterprise Legal Reputation (ELR) Report by Onit, 40% of legal teams spend half of their workday reviewing and handling contracts. While legal teams handle a large volume of contracting processes, almost every team is exposed to poor contract management.

Just think about how much time sales, procurement, finance, and other teams spend with contracts and legal documents. Poor contract management can cost up to 9% of a company’s total revenue.

As the volume of contracts and complexity of legal language grows, businesses have two options. Either they hire more employees or rely more on technologies like artificial intelligence to keep track of contracts, mitigate risk, and streamline their contract management processes.

AI-powered contract management automates tasks, enhances efficiency, and generates insightful analytics, ultimately improving the contracting process. However, while AI offers numerous benefits, it cannot replace the invaluable human touch in contract management.

Businesses equipped with AI-driven tools form a powerful team capable of making informed decisions and executing contracts precisely. When businesses integrate AI into their contract management strategies, they can save time, lower the risk of human error, hire fewer lawyers, and focus on strategic legal tasks. Meanwhile, AI can handle the time-consuming administrative work.

Now, let’s dive into how AI-based contract management can transform a business’ processes.

Workflow automation

Workflow automation uses software programs to streamline and automate a sequence of tasks or activities without human involvement. Such automation boosts company productivity, decreases mistakes, and helps save time and resources.

AI-powered contract management software offers several advantages when it comes to workflow automation. It can reduce errors, accelerate contract creation and document assembly, and decrease contract preparation costs. AI can be employed in various tasks, such as automated contract review, approval, and automated renewal, ultimately simplifying the contracting process.

AI contract management tools incorporate user-friendly tools into contract management software, streamlining the management of contracts throughout their lifecycle. With AI-powered contract management software, employees dealing with contracts can be more efficient and effective in their roles.

Automating mundane tasks allows businesses to shift their focus to more complex and valuable work, thus minimizing the time dedicated to legal review. However, AI-powered workflow automation may face limitations in contextual comprehension and the need for regular updates.

Contract data extraction

Contract data extraction, which involves identifying and extracting critical data points from the contract text, is vital for efficient contract management. AI-based contract data extraction offers improved accuracy and time savings by automatically recognizing and classifying essential data.

AI-driven contract management tools can categorize contract types and parts of the contracts into various sections, including agreement, confidentiality, dispute resolution, IP rights, terms and conditions, and much more. So you can smoothly identify potentially risky terms and help you mitigate legal risks. 

However, there are challenges associated with utilizing AI for contract data extraction. For instance, the AI algorithms need updates and manual testing as AI-driven contract management might face difficulty comprehending the contract context.

Despite these challenges, AI can automate the process of extracting significant data from contracts, providing cost and time savings for legal departments and identifying revenue opportunities that may have gone unnoticed.

Risk management and compliance

In contract management risk analysis plays a pivotal role in contract management and compliance. Risk analysis involves identifying, assessing, and mitigating potential risks, including taking steps to mitigate risk while ensuring compliance with applicable laws and regulations.

Artificial intelligence assists in risk assessment and compliance by detecting possible issues, recommending modifications, and tracking regulatory changes.

AI provides a valuable asset for risk mitigation by recognizing potential problems, recommending modifications, and tracking regulatory modifications. Integrating AI into risk management and compliance allows organizations to proactively mitigate potential risks and maintain compliance with regulatory requirements and industry standards.

Improved contract lifecycle management with AI

Contract lifecycle management (CLM) involves monitoring and tracking all aspects of a contract from start to finish. The contracting process includes the following steps:

• Drafting
• Negotiation
• Approval
• Execution
• Renewal

AI can facilitate the automation and optimization of contract processes, accurately identifying and extracting data points from contracts to ensure you comply with the important clauses and due dates. How can you use AI-based contract management in the course of these steps?

You can easily set reminders for contract expiration and renewal dates or locate essential or standard clauses you are looking for while reviewing contracts. Or you can just ask AI-based tools to perform legal review.

AI offers cost reductions, improved accuracy, and enhanced efficiency in contract management, reducing the time and effort needed to review and renew contracts.

Drafting Contracts

AI assists in drafting contracts by utilizing auto-redline functionality, which identifies contract clauses that can be replaced with preferred clauses, helping organizations better prepare contracts.

Auto-redline functionality allows organizations to:

• Prepare contracts efficiently by detecting and substituting clauses in crucial contracts with preferred ones,
• Pave the way for confident contract reviews,
• Ensure intelligent drafting of new contracts,
• Draft contracts with high accuracy while minimizing errors and potential risks.

Utilizing this functionality can be a great benefit for a business to keep down wasted time on contract drafting.

Executing Contracts

AI technology facilitates contract execution by automating tasks, tracking progress, and recognizing delays.

AI monitors progress by tracking deadlines, flagging potential issues, and providing real-time updates. Additionally, AI uses data analysis to identify areas of inefficiency, thereby identifying bottlenecks in the contracting process.

Contract Review and Renewal

Automated contract review is a technology-assisted process utilizing software to review and analyze contracts. It employs artificial intelligence to extract relevant information, optimize processes, and detect patterns.

Both drafting and reviewing contracts are time-consuming tasks. It takes approximately 92 minutes to review one contract on average.

Automated contract review can help minimize the time, risk, and cost associated with manual review. It increases accuracy and detects concealed risks and potential areas for improvement.

Despite the potential limitations in contextual understanding, AI can streamline the contract review process, providing valuable insights into the performance of contracts and identifying areas for improvement.

Real-world applications of AI contract management software

AI has practical applications in contract management, such as streamlining contract managers’ processes, recognizing potential revenue sources, and normalizing contracts across industries. Automation of tedious tasks like document review, risk assessment, contract analysis, and due diligence through AI can significantly reduce the time and cost of a business.

In addition, AI can be employed to:

• Assess contracts for potential revenue opportunities, including upsells, cross-sells, and discounts
• Detect shared language and clauses across various industries, enabling the standardization of contracts
• Reduce the time and cost associated with contract negotiations

Utilizing AI in these ways can significantly improve AI contract management and efficiency.

Legal department

Legal departments can benefit from AI by automating repetitive tasks, allowing them to optimize their time and increase efficiency. Processes such as document review, contract analysis, and data entry can be automated using AI, enabling legal professionals to focus on more complex tasks, such as legal strategies and risk management.

Legal departments leveraging AI allow organizations to efficiently identify and address potential risks, optimize processes, and reduce costs. This powerful combination of AI and human expertise can lead to more effective and efficient contract management.

Other teams

Any teams working with a large volume of contracts and legal documents can improve their efficiency by deploying AI in contract management. Sales, procurement, or finance teams can enjoy the benefits of AI when it comes to managing contracts.

Overcoming the limitations of AI in contract management

AI in contract management may face limitations, such as accurately interpreting context or subtleties of language, potentially resulting in errors or misunderstandings in contract analysis.

The potential future of contracts with AI lies in the following:

• Highly routinized, standard-template-based contracts,
• Adjusting contracts only where necessary to meet individual requirements,
• Reducing the time spent on drafting, reviewing, and renewing contracts,
• Improved risk mitigation.

By addressing the limitations of AI and harnessing its potential, organizations can optimize their contract management processes and achieve greater efficiency.

Contextual Understanding

While AI might have difficulty understanding context and nuances in contract language, human input remains indispensable for accurate analysis. Contextual understanding is crucial for contract management, as it enables contract managers to comprehend the intricacies and subtleties of contracts and the implications of certain clauses.

By incorporating human expertise alongside AI, organizations can ensure that contracts are accurately drafted and executed and that potential risks are identified and addressed. This blend of AI and human input allows for a more comprehensive and precise approach to contract management.

Related posts:

• How Artificial Intelligence (AI) Can Change The Legal Landscape?
• How Automation is Reshaping Legal Workflows? (2026)

Frequent Updates

Regular updates are essential for AI-powered contract management systems to maintain their effectiveness and adapt to changing regulations and industry standards. Some potential drawbacks of AI regarding frequent updates include limited comprehension of context, high implementation and maintenance costs, and difficulty in providing logical explanations for AI forecasts.

To address these challenges, organizations can implement strategies such as incorporating AI into human decision-making processes, utilizing AI to automate tedious tasks, and utilizing AI to detect and address potential risks. Organizations can optimize their contract management processes and stay current with industry trends by ensuring frequent updates and maintaining a balance between AI and human expertise.

Summary

AI-powered contract management has revolutionized the legal field, automating tasks, enhancing efficiency, and providing valuable insights while requiring human input for optimal results. From drafting and executing contracts to risk management and compliance, AI offers a multitude of benefits for organizations.

By addressing the limitations of AI, harnessing its potential, and maintaining a balance between AI and human expertise, organizations can optimize their contract management processes and achieve greater efficiency.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

Frequently Asked Questions

What are the AI tools for contracts?

Legaliser and Kira Systems are two powerful AI tools for contracts, allowing users to quickly upload contracts for review and analysis. Other platforms like LawGeex and ContractPodAi also offer AI contract review and analysis services.

What is the disadvantage of using AI in contract management?

AI tools can be limited in their ability to identify nuances and subtle differences in contracts, and they cannot provide legal advice, making them a potential disadvantage when using AI for contract management. Additionally, more time and creative thought must be taken when drafting contracts to consider potential events and address consequences in advance.

How is AI changing contracts?

AI is streamlining and accelerating contract review cycles, optimizing terms and conditions, standardizing clauses, flagging non-compliant ones, and surfacing new insights from contract data. It also enables companies to access critical variables like clauses, dates, and parties in their contracts more effectively by first training an algorithm on a set of historical data.

What is the role of AI in contract law?

AI can help streamline contract review processes, identify patterns and key terms, and reduce contract errors and inconsistencies. It can also extract important data points and flag deviations within a contract, simplifying contract analysis and management.

How does AI-powered contract management work?

AI-powered contract management leverages AI to automate tasks, boost efficiency, and generate insight, all within a streamlined contract management software.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post How to Unlock the Benefits of AI in Contract Management? appeared first on .

AI technology and machine learning will change your work from project planning to project outcomes. The transformation facilitated by AI in project management is not a distant future concept. It is already in progress. Businesses embracing advanced AI tools gain a competitive advantage.

Let’s discover how artificial intelligence and machine learning transform project management.

Key Takeaways

• AI transforms the project manager role by automating administrative tasks so project managers can focus on complex tasks, strategic thinking, soft skills, team collaboration, and risk management.
• Task management processes will be improved and optimized, making project management smoother.
• AI will significantly boost the efficiency of resource management. With the help of AI project management tools, project managers will have sufficient data for efficient resource allocation.
• A project manager can have access to a more detailed project performance analysis to identify areas that need improvement.
• An AI project management tool has regularly extensive integration possibilities with third-party applications.

How does artificial intelligence revolutionize project management?

AI systems using machine learning algorithms, predictive analytics, and natural language processing can be implemented in many workflows while managing projects. These AI-driven solutions change the project management process and enhance its efficiency, making project managers more productive.

Now, let’s see how AI transforms project management.

Transformed project manager role

Maybe one of the most obvious impacts is how the role of project managers is changing. Using automation tools will allow project managers to focus on the most essential aspects of project success. While it may sound like that AI can replace project managers, it is far from the truth.

AI project management tools will automate repetitive and administrative tasks. However, complex tasks, strategic thinking, soft skills, team collaboration, and risk management will be more vital than ever.

It might sound scary that project leaders may lose specific responsibilities and tasks. Nevertheless, embracing AI project management tools will help project managers manage multiple projects simultaneously efficiently and accelerate the project lifecycle.

The future’s great project manager cannot do every task perfectly. Instead, it is someone who can leverage tools emerging from new technology and focus on the most crucial aspects of project management. An AI-based project management software strengthens the qualities of a good project manager rather than replacing them.

Improved task management

An AI-powered task management tool can elevate efficiency and productivity in many ways. Tools like Taskade allow you to assign tasks, add due dates to team members, send reminders, chat, or measure how much the team completed.

Moreover, project visualization has also taken a significant step ahead. You can customize and visualize the dashboard in various ways, which can really help to get an overview of the team tasks, processes, and upcoming tasks.

Task management apps regularly have project management or scheduling assistant features as well. For example, Motion has one of the most developed scheduling algorithms and is also designed as a task and project management app.

In essence, AI-powered task management tools help to automate tasks and foster collaboration between project teams.

More efficient resource management

Resource planning and management is a data-driven field. Sometimes, the problem is the missing structured data, but sometimes, the problem is the proper data analytics.

Imagine making decisions on project management tasks based on a gut feeling because the needed project data is missing. While it might work out sometimes, there is a risk of getting things wrong, like misjudging resource availability, workloads, deadlines, project progress, or not proper cost management.

An AI-driven project management tool can assess potential risks and uncertainties in a project. By identifying potential issues early on, project managers can proactively allocate resources to address challenges and fine-tune the project planning.

While AI helps to streamline project management processes, it can provide real-time data on crucial project-related data to assist project managers in optimizing resource allocation.

With the help of AI project management tools, project managers do not need to analyze data, but they will have access to all the necessary project data to make the right calls.

AI driven solutions to automate tasks

One of the advantages of AI project management tools’ is automating repetitive tasks like meeting scheduling, note taking, time tracking, etc. AI scheduling assistants or AI meeting assistants are an excellent way to automate burdensome tasks that simply burn your time.

These AI tools work as virtual assistants and can perform various tasks during the project lifecycle to help you manage projects more efficiently. Although these AI-based tools can be deployed in many other areas like sales, using such AI tools will maximize the project managers’ time and boost their productivity.

Detailed project performance analysis

AI project management tools using machine learning can provide comprehensive project insight into how the team performed and task progress updates. Project reports give a complete view of performance metrics, KPIs, and project insight to identify areas needing improvement quickly.

You no longer have to review tons of data or rely on guesswork. The AI does the heavy lifting, breaking down performance in an easily digestible way. A key element to project success is to see what is working well and where adjustments are needed.

Integrated AI solutions

Handling lots of tools for projects can get confusing and takes a lot of time. You might miss important details, and doing everything manually can be a hassle.

Fortunately, AI-powered project management tools have extensive integration possibilities. For example, you can integrate Wrike with more than 400 apps.

This means you can keep all your project info in one place without jumping between different tools. So, you save time and avoid the stress of managing too many things at once!

Wrap-up

Artificial intelligence and machine learning significantly impact project management. The question is not whether AI replaces project managers but how you can take advantage of this technology in project management processes.

While some still prefer traditional project management methods, several tools with AI-powered features already enhance efficiency. These tools save time, foster team collaboration, and hold the potential to maximize the productivity of an entire project management office.

As we look toward the future, further advancements in AI technology promise even more exciting possibilities for project management, ultimately transforming how we work and collaborate.

Hostinger Horizons Review 2026 | My Honest Experience

April 9, 2026

Hostinger is one of the most recognizable names in the online success industry, with an impressive rating of over 4.7 stars on Trustpilot, based on tens of thousands of user reviews. Over…

Continue Reading Hostinger Horizons Review 2026 | My Honest Experience

Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

April 8, 2026

Granola is a lightweight AI note-taker that transcribes and summarizes meetings without using bots. It’s fast, simple, and distraction-free… but you probably already know that if you’re reading this. Here, I have…

Continue Reading Best Granola Alternatives 2026 | My Top 6 After Testing 25+ Tools

Why Most Productivity Systems Fail (and What Habit Data Reveals)

April 7, 2026

A lot of gurus talk about productivity systems. And most of them are built around productivity tools. Nonetheless, besides the productivity apps, the daily habits are as important as, if not more…

Continue Reading Why Most Productivity Systems Fail (and What Habit Data Reveals)

Frequently asked questions

What is AI project management?

AI project management tools utilize machine learning, natural language processing, and predictive analytics to assist in many workflows. Using AI project management tools helps project managers focus on project deliverables instead of dealing with administrative and repetitive work.

How can AI be used in project management?

Depending on a specific AI-powered project management software, it can help in resource management, project scheduling, data analytics, task management, and more. Essentially, it enables to handle multiple projects effectively.

How project managers can leverage AI?

A project manager leveraging AI tools can automate administrative tasks, achieving:

• track project progress
• more efficient risk assessment
• project scheduling
• gaining project insight from previous projects
• virtual assistant support functions

Is AI the future of project management?

Artificial intelligence is transforming project management. While AI may handle routine tasks traditionally done by project managers, it does not diminish the role of an experienced project manager. Instead, it allows them to focus on strategic thinking, soft skills, and coordination.

Essentially, tasks demanding a human touch remain with project managers, while AI takes care of repetitive activities.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post How AI Transforms Project Management & How To Embrace It? appeared first on .

Ultimately, AI-powered task automation is a passing trend and a transformational force in the business landscape. It is not just a buzzword but a reality that stays here. Both businesses and individuals must evolve and adapt to these changes and develop the necessary skills to work alongside AI-powered tools.

In this guide, I will go through where and how you can use artificial intelligence to automate your daily tasks and save time.

Where can you effectively use artificial intelligence for automation?

You can automate many business tasks using AI-powered tools. Here are some areas where you can effectively apply artificial intelligence and machine learning for automation.

Everyday productivity

If you are looking to improve your productivity and make the most out of your day, there are several methods that you can adopt to automate repetitive tasks. I collected below the most popular ways to automate repetitive tasks.

Note-taking

Artificial intelligence can automate note-taking in online meetings using speech-to-text technology to transcribe what is being said in real-time. It allows participants to focus on the discussion without the distraction of taking notes and ensures that you capture all the important points accurately.

The AI-powered note-taking tool can also use natural language processing (NLP) to identify key topics and themes, extract action items, and perform follow-up tasks. It helps streamline the post-meeting workflow and ensures that nothing is overlooked.

AI’s ability to analyze the tone and sentiment of a conversation offers a unique advantage. It provides valuable insights into the participants’ overall mood and engagement level. This feature can be particularly beneficial for managers and team leaders striving to ensure full engagement and participation in the meeting.

Overall, AI-powered note-taking tools can save time and improve the accuracy and efficiency of online meetings, allowing participants to focus on the discussion and ensuring that all essential points are captured and acted upon.

Related articles:

• 11 Best AI Meeting Managers in 2026: Ranked & Reviewed
• 8 Best AI Note Taking App To Supercharge Your Productivity (2026)

Task management

AI-powered task management tools, designed with user-friendliness in mind, offer many benefits for individuals and teams looking to streamline their work processes. These innovative tools can assist with generating to-do lists, creating mind maps, assigning tasks, and adding due dates to team members, among other features.

These tools leverage the power of AI to help you prioritize tasks based on their importance, track progress, and identify potential bottlenecks or roadblocks. With their intuitive interfaces, these tools empower you to take control of your tasks and work more efficiently.

One of the most significant advantages of using an AI-powered task manager is the time it saves. These AI tools can help boost productivity by providing a central platform for team members to communicate, share files, and collaborate on tasks.

Additionally, AI-powered task managers can help you become more organized by providing a clear overview of your tasks and deadlines. It can help you stay on top of your work and avoid missing important deadlines or deliverables, relieving you from the stress of managing multiple tasks.

Incorporating AI-powered task management tools into your workflow can help you work smarter, not harder. These tools can help you achieve your goals efficiently and effectively by streamlining your work processes, improving team collaboration, and enhancing your organizational skills. This efficiency boost can inspire you to take on more challenging tasks and reach new heights in your work.

Related article:

• Best 7 AI Task Manager Tools to Get More Work Done

Email management

AI-powered email management apps can help boost productivity in several ways. They can automatically sort and prioritize emails based on their importance, saving time and energy in sifting through your inbox.

They can also suggest responses to common emails, such as meeting requests or follow-ups, allowing you to respond quickly and efficiently. Additionally, they can help you stay organized by creating reminders for essential emails or tasks and integrating them with your calendar to ensure you never miss an important deadline or meeting.

Ultimately, an AI-powered email management app can help you streamline your workflow, reduce stress, and increase productivity.

Related article:

• Best 17 AI Productivity Tools That Will Change The Way You Work

Scheduling appointments and meetings

As technology advances, AI scheduling assistants have become more efficient and intuitive than ever before. An AI-powered scheduler can continuously learn and understand your work and scheduling habits. It considers your working hours, tasks, priorities, and feedback to craft a weekly schedule that best suits you.

AI scheduling assistants can streamline calendar management by integrating multiple calendars into one view. Whether you use Google, Outlook, or other calendars, an AI calendar app can combine all your personal and work calendars into a single, easy-to-use interface.

AI scheduling tools simplify your calendar management and empower you to enhance your team’s and your performance. Depending on your specific AI scheduling tool, you can access detailed information about your time spent on tasks, meetings, workload, or work-life balance metrics. This data empowers you to identify areas where you can improve your productivity and optimize your workload, leading to better results.

Task and project management are seamlessly integrated into AI scheduling tools, providing a comprehensive solution. For instance, you can integrate all your tasks from a project management app, or the AI calendar app you use may have built-in project and task management features. The integration or built-in feature lets you keep track of all your tasks, deadlines, and projects in one place, giving you control over your workload and commitments.

Related article:

• 8 Best AI Scheduling Assistants To Maximize Your Time In 2026

Project management

AI-powered project management tools can enhance productivity in several ways:

1. They can automate mundane tasks like project updates or summaries, freeing up team members’ time to focus on more strategic work.
2. They can provide real-time insights into project progress, performance, resources and team workload, allowing teams to identify and address potential issues early on.
3. AI can help predict potential risks and suggest solutions to prevent them from happening.
4. AI-powered tools can improve collaboration by providing a centralized platform for teams to communicate, share documents, and track progress.
5. A customizable dashboard provides you with an overview of various tasks and projects.

These features can help automate recurring tasks, enhance productivity, reduce errors, and improve project outcomes while you can focus on more complex tasks. 

Sales

AI is a game-changer for sales teams, directly boosting their efficiency. One of its key advantages is the ability to delve into customer behavior and preferences, enabling sales teams to personalize their approach and messaging.

AI can also help sales teams automate routine tasks and streamline their workflows, allowing them to focus on high-value activities such as building relationships with customers and closing deals. For example, AI-powered sales tools can automatically track customer interactions, update customer records, and generate reports, freeing up sales teams to spend more time on strategic activities.

Deploying machine learning and predictive analytics could make AI a strategic ally of sales teams. Analyzing historical data and spotting patterns and trends enhances forecasting accuracy. It empowers sales teams to anticipate trends and make more informed resource allocation and strategy decisions.

In summary, AI is a potent tool for sales teams seeking to boost their efficiency, effectiveness, and results.

Marketing

AI can help marketing professionals, from developing more accurate customer profiles to automating routine tasks and optimizing campaigns. With the help of machine learning, AI-driven tools can help marketing teams better understand their target audience, including their preferences, behaviors, and needs. Essentially, employing an AI-powered tool can help them create more personalized and effective marketing campaigns that resonate with their audience.

AI not only automates routine tasks for marketing professionals but also empowers them to focus on high-value activities such as developing marketing strategies and building relationships with customers. Utilizing AI for marketing automation gives marketing teams the control to boost their efficiency and productivity, freeing up time to focus on strategic activities.

Furthermore, AI can help a marketing manager optimize their campaigns by analyzing real-time data and adjusting to improve performance. For example, AI can automatically A/B test different ad creatives, landing pages, and call-to-action buttons to identify the most effective combination for a given audience. It can help marketing teams improve campaign ROI and maximize their impact.

In summary, AI is a powerful marketing automation tool for enhancing effectiveness and ultimately drives results.

Customer support

AI can improve customer service in several ways. One of the most significant benefits is that AI-powered chatbots can provide 24/7 customer support without human intervention. It means that customers can get assistance at any time of day or night, regardless of whether human support agents are available.

Additionally, AI-powered chatbots can simultaneously handle a large volume of customer inquiries, which can help reduce wait times and increase customer satisfaction. Platforms like Clerk Chat enable businesses to manage conversations across multiple channels in real time, combining automation with a human touch when needed.

Furthermore, AI can help to personalize customer experiences by analyzing customer data and providing tailored recommendations and solutions. Using an AI chatbot can help businesses improve customer satisfaction and increase customer loyalty.

Content writing

AI is a powerful tool for creating content. Jasper AI claims that using an AI assistant can reduce the time spent crafting your first draft by up to 80%, allowing you to focus on more complex tasks.

Whether you are writing social media posts, blog articles, or any other type of content, AI-powered writing assistants like Openai, Fueon, or Claude can significantly accelerate the process and help you create high-quality content in less time.

You can deploy AI in more workflows than you think when it comes to content writing. For example, you can ask it to write a cover letter based on your preferences to support your career growth and explore new opportunities faster.

Video editing

Using video editing AI can greatly speed up the editing process. AI-powered tools allow you to create and edit videos with simple text prompts, automatically generating scripts, scenes, and voiceovers. This helps you spend less time on editing and focus more on the tasks that matter.

People management

While both scheduling assistants and project management tools can help with people management, such as time tracking and workload management, there are also other opportunities to upgrade people management in the organization.

For instance, you can automate surveys and standups around the organization. You can easily set the time and frequency of standups, determine the questions to ask, and select who should receive a prompt. Using such an AI tool can help you understand team happiness and engagement levels by providing real-time data on your team.

AI tools for task automation

Many AI-powered tools are available for task automation, even within a smaller specific category, such as note-taking apps. While these tools may have similar functionalities, they have significant differences.

For instance, Fireflies AI is well-suited for team collaboration, while tl;dv is an excellent choice for individuals. The AI tools mentioned here are just a few of my top recommendations, but it is worth noting that many more options are available on the market.

Steps and tips task automation

Here are the main steps for process automation and some tips to automate mundane and complex tasks as well.

Identify tasks

To start AI automation, you must identify the tasks you can replace. Look for repetitive, time-consuming, or mundane tasks you can effectively delegate to AI. Alternatively, you can explore different AI tools first to determine which best helps you with your workflows.

For example, people who have back-to-back meetings all day may find AI transcription tools revolutionary to upgrade their meetings, while others may not find it useful. It all comes down to considering your daily activities and finding ways to save time and become more efficient with automated tasks.

Choose the right tool

When considering automating tasks with AI, it is crucial to choose the right tool for the job. Many AI tools are available, and it is important to choose one with the features you need.

In addition, integration options are crucial when deciding which AI tool to use. Choose an AI tool that can easily integrate into your current tool stack to avoid manual work.

For businesses with complex, legacy systems, partnering with specialized AI integration services can ensure a seamless and secure implementation, customizing the tools to fit your unique workflow rather than forcing you to adapt to them.

Monitor performance

Once the AI tool is up and running, it is vital to monitor its performance regularly. It will help you identify any issues or errors and make necessary adjustments to improve them.

Ask feedback

I recommend seeking feedback from your team members before and after implementing a new AI tool in your workflow. If you work solo, you may skip this step.

Nevertheless, working in a team is a crucial step that you should not overlook. The valuable insights and experiences of your team members can assist you in making an informed decision about the AI tool’s effectiveness and feasibility.

Gathering feedback can help you identify your team’s potential issues or concerns and address them accordingly. Also, involving your team in the decision-making process can increase their buy-in and engagement with the new AI tool, leading to a more successful adoption. Ultimately, you want to automate tasks for your whole team and not just you, right?

Be patient and understand your and your team’s needs

Planning, testing, and monitoring are essential when implementing AI tools for task automation. Learning new tools can have a learning curve, but how long it takes to master an AI tool depends on its user-friendliness and the person’s willingness to learn it.

If you anticipate that people unfamiliar with these types of tools will use them, choosing the most intuitive tool may be best regardless of how fancy the other tool is or how many extra features it has. To manage this, read reviews to learn more about the tool’s features, user experience, pricing, pros, and cons.

Additionally, be patient while you learn the new tool and take the time to understand you and your team’s needs.

Frequently asked questions

How is AI used for automation?

AI can be used to automate tasks in various ways. One common method is utilizing machine learning algorithms to automatically perform specific tasks based on patterns and data inputs. For example, a machine learning algorithm can automatically classify and sort emails or analyze historical data for trends and insights.

Another way to automate tasks with AI is through robotic process automation tools. These tools can automate repetitive and time-consuming tasks such as manual data entry or file management.

Overall, AI tools have the potential to streamline business processes, improve efficiency, and reduce the likelihood of errors or delays.

Can I use AI to automate tasks?

Yes, you can use AI to automate various tasks. AI-powered automation can help increase efficiency, reduce errors, and save time. You can apply an AI system to automate various tasks across industries, from customer support chatbots to predictive analytics.

Nevertheless, the level of automation you can achieve with AI algorithms depends on the complexity of the task and the quality of the data you feed into the system.

Can AI do repetitive tasks?

Yes, AI is particularly good at performing simple tasks. In fact, that is one of the main benefits of using AI in certain industries and fields.

I can process large amounts of data quickly and accurately, saving time and effort compared to manual labor. For example, you can use AI to automate tasks like data entry, image recognition, note-taking, or content creation. Leveraging AI helps human workers focus on more complex and creative tasks requiring human intuition and problem-solving skills.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post The Ultimate Guide To AI Task Automation (Tools, Tips & Benefits) appeared first on .

The math is simple. Without goals, there is no direction; without direction, there is no long-term success in almost every area of life.

Let’s dive into the best practices for setting team goals and some examples and tools you can use throughout this process.

Why team goals are important?

A survey on job satisfaction revealed that employees who feel confident and connected to their goals are likelier to experience job satisfaction. The survey results show that around 54% of team members who feel confident and connected to their job goals are more satisfied with their work. 

Furthermore, around 44% of employees who feel more connected to their work goals will likely stay committed to the company’s goals despite any challenges they might face. The survey also found that 44% of employees motivated to work harder feel more confident when they are connected to organizational goals. 

Overall, the survey highlights the importance of setting clear team goals. It helps build strong connections and increases employee confidence, which helps to enhance job satisfaction and motivation.

Difference between team goals and individual goals

Team goals and personal goals are different. Team goals are set to be achieved by a group working together towards a shared goal. These goals usually align with the organization’s more significant business objectives. Also, it requires additional skills like teamwork, coordination, and cooperation among team members to achieve success.

On the other hand, personal goals are those that individuals set for themselves to achieve in their personal or professional lives. Personal aspirations often drive professional goals and may or may not be aligned with the organization’s or team’s goals. 

While team goals require a team effort, individuals pursue personal goals independently. However, it is best when there is an overlap between the team and individual goals for two reasons: 

1. When the goals of individuals and teams are aligned, both can succeed. It is a win-win situation.
2. Also, it is essential to remember that team and individual goals are closely connected. For example, an employee wants to buy a new house in three years. His ability to achieve that goal largely depends on how well they perform at work. If he does not meet the work targets, it will be much harder for him to reach their personal goal.

Why SMART goals are important?

The simplest way to ensure your team will achive a goal is using the SMART goal framework. It means that successful team goals need to be specific, measurable, achievable, relevant and time bound.

The simplest way to ensure your team will achieve a goal is to use the SMART goal framework. Deploying the SMART framework says successful team goals must be specific, measurable, achievable, relevant, and time-bound.

The SMART approach includes the following important details:

Specific

A team goal should be specific, well-defined, and clear for every team member. Avoid assumptions and ensure every employee understands the desired outcomes and the key metrics for success.

Measurable

A team goal should be measurable, which means it should be quantifiable and have a specific target your team can achieve. This helps in tracking progress, identifying areas of improvement, and making necessary adjustments. Establishing clear metrics and KPIs to measure the success of the team goal is crucial.

Achievable

A team goal should be achievable, meaning it should be realistic, considering your team members’ skills, resources, abilities, and capacities. Setting impossible goals can lead to demotivation and decreased productivity.

However, goals that are too easy to achieve can also lead to complacency. Finding the balance between challenge and achievability is crucial in setting team goals.

Relevant

A team goal should be relevant to the company’s overall mission and vision and align with the organization’s values, objectives, and priorities. Setting relevant goals ensures that the team’s focus and effort are on something that contributes to the company’s objectives.

Moreover, a team goal should also be relevant to your teammates. For this, your team members must understand the importance of their work and how it fits into the bigger picture.

Time-bound

A team goal should be time-bound, which means it should have a specific deadline or time frame for completion. This helps you keep your team focused and motivated while also helping them understand what is most important.

Furthermore, a timeline will help team leaders in planning and resource allocation, as well as tracking progress and making necessary adjustments if needed. 

Step-by-step guide for goal setting

Here are some easy steps in the goal-setting process to ensure your team members understand their roles and business objectives.

Define the overall objective

After understanding the SMART approach, you should first figure out what you aim for when setting team goals. This is the big-picture goal that the whole team is striving towards. Be very specific about this objective to make sure everyone knows what they are working towards. That way, everyone stays on track and motivated.

Once you have determined the overall objective, it’s time to break it down into smaller goals!

Break down the goal into smaller objectives

Breaking down the overall goal into smaller objectives is crucial for achieving success. You must identify specific targets your team needs to accomplish before reaching the desired goal. Breaking down the objective into smaller goals makes monitoring progress and executing necessary adjustments along the way easier.

To break down the goal, ask yourself, “What steps need to be taken to reach the overall objective?” or What roadblocks might slow progress?

Breaking down the goal into smaller objectives is not just a strategy; it is a necessity for setting successful team goals. It makes the process more manageable, giving your team members a clear sense of direction. It also helps track progress and make necessary adjustments along the way.

Ask for feedback

Let’s pause here for a second. In the previous steps, you took charge of the team goals without being affected by external factors. 

Sometimes, as team leaders, we tend to think that we are the ones who clearly see the objectives, but this is not true, at least not in every situation. So, it is a good idea to get some feedback from your team members on whether your understanding and assumptions are right and whether you have set achievable goals.

There are two big reasons why asking for feedback is vital at this stage of team goal-setting: 

1. Firstly, if your assumptions were wrong, you can tweak your goals based on the feedback you get from your team. This will help you set more accurate goals.
2. Secondly, asking for feedback lets your team members know you care about their ideas and thoughts. Being involved in goal-setting can make them more committed to reaching the goals.

Assign responsibilities

Once you have broken down the overall goal into smaller objectives and gathered feedback, it is time to assign responsibilities. Each team member should have a specific role that aligns with the objectives for which they are responsible.

Assign responsibilities based on each team member’s strengths and expertise. It will support each member in giving their best and increasing their motivation and engagement.

Furthermore, It is crucial to clearly communicate each team member’s responsibilities and the timeline for completing them. It will help team members to ensure that everyone is on the same page and that there are no misunderstandings or confusion.

In conclusion, assigning responsibilities is a critical step in achieving team goals. It helps ensure that everyone knows what they are responsible for and how they can contribute to achieving the overall objective.

Set a timeline

Setting a timeline for achieving each objective is essential for keeping your team on track. When setting the timeline, make sure it is realistic and achievable. Setting unrealistic deadlines will demotivate and frustrate your team. Instead, set deadlines that are challenging but achievable.

Just a heads up, unexpected issues may arise while you or your team work on your team goal. So, I suggest you add extra time to your timeline to keep things flexible. Especially when dealing with new challenges, estimating how much time you’ll need to finish the task is challenging.

Setting a timeline gives your team members a clear sense of direction and a deadline to work towards. It helps them prioritize their tasks and ensures everyone is working towards the same objective within the same timeframe.

Develop and communicate team goals

Now, you have all the details needed to develop a plan and assemble the puzzle pieces. If you have more team goals, consider priorities, fair workload distribution, and your team member’s strengths and weaknesses.

At this stage, I recommend deploying a project management tool for visualizing, assigning tasks, and measuring progress. It will make project planning and execution smoother, and your team can effectively reach team goals.

Once you have the plan, it is crucial to communicate it effectively to your team members. It is not just about sending out an email or posting it on a board; it is about ensuring everyone understands the goals and expectations.

You can use various communication tools such as team meetings, one-on-one sessions, or chat platforms. Explain the importance of the goals and how achieving them will benefit the team and the organization.

Additionally, it is vital to encourage your team members to ask questions and provide their feedback during this stage of the team goal-setting process. Asking for quick feedback and confirmation from your team a second time will help them feel more involved and committed to achieving the goals while minimizing the chances of misunderstanding.

Track progress

It is paramount to measure progress and assess whether you are on the right track toward achieving your team goals. It helps you identify any challenges or roadblocks that may arise and take necessary corrective measures.

You can track progress using various methods, such as regular check-ins or project management software. It also makes sense to have a review call after completing each milestone.

Evaluate performance and provide actionable feedback

Did you know that not getting proper evaluations and feedback from supervisors can impact employee performance? According to a study, 36% of employees believe not receiving proper assessment and feedback from their supervisors impacts their ability to achieve goals. 

It is not just about reaching the team goal but also about evaluating team members’ performance and giving feedback on how to improve. Providing actionable feedback will help your team members improve and create a transparent environment where employees can develop. 

Do not forget to celebrate achievements! It is a great way to boost morale and show appreciation for all their hard work. Trust me, it is essential for them to feel recognized, but it also feels good to give something back to your teammates, even if it is just a few words. So, take the time to acknowledge their accomplishments and let them know how much you appreciate them.

Example of team goal setting

When setting goals, try to be as simple as possible. Let’s say, the team goal is to enhance the production process’s efficiency by 20% within the next six months. The question is whether this is a good goal or not.

Here is a quick analysis of this team goal:

• Specific: The goal is to improve the efficiency of the production process by 20%. It will involve analyzing the current process, identifying areas of improvement, and implementing changes to streamline the workflow.
• Measurable: The efficiency of the production process can be measured by the number of units produced per hour. By the end of the six months, we aim to increase the number of units produced per hour by 20%.
• Achievable: The goal is achievable because we have identified several areas of improvement in the production process, including equipment upgrades and process automation. 
• Relevant: Improving the efficiency of the production process is relevant to the overall business goals because it will help to increase our output and reduce costs. This will enable us to meet customer demand more effectively and increase profitability.
• Time-bound: The team goal of improving the efficiency of the production process by 20% will be achieved within the next six months, so it has a deadline as well.

Tools to use

You do not need tools to set team goals; using a pen and paper could be enough. However, you must deploy a tool if you want visualization, progress tracking, workload management, and an overview of the resources.

Project management, task management, or OKR tools are the most effective ways to support your team when it comes to team goal setting.

An OKR software is a powerful tool that enables individuals, teams, and organizations to effectively set, track, and measure their goals and objectives.

A task management tool is great for assigning responsibilities, projects, and tasks to your team members. These tools provide a simple yet effective solution to visualize projects and goals while assisting your team members to stay productive and reach team goals.

Consider using a project manager tool if you want a tool that can assist you in other aspects, like workload management, resource allocation, collaboration, etc. Project management tools have many features, and you can effectively manage your team’s goals and related projects.

Related articles:

• Best 8 AI Task Manager Tools to Get More Work Done
• 8 Best Workload Management Tools For Teams
• Best 17 AI Productivity Tools That Will Change The Way You Work
• 16 Proven Techniques To Improve Team Productivity
• 7 Tips On How To Use AI To Be More Productive At Work? (2026)

Improving skills with practical software training

While tools are essential for managing tasks and tracking goals, making sure your team knows how to use them effectively is just as important. One of the easiest ways to boost productivity is through structured learning opportunities like Microsoft Office courses. These courses help team members build confidence in essential programs like Word, Excel, and PowerPoint–tools that play a major role in everyday operations.

By improving their software proficiency, your team can streamline workflows, enhance reporting, and improve overall communication. Integrating this kind of training into your team’s development plan ensures that everyone is equipped with the skills they need to contribute more efficiently toward shared goals.

Wrap-up

Setting team goals is crucial for achieving success in any organization. It gives team members direction, motivation, and a sense of purpose. By following the SMART goal framework, teams can establish specific, measurable, achievable, relevant, and time-bound goals aligning with the organization’s mission and vision.

Moreover, it is essential to remember that team and individual goals are closely connected. When the goals of individuals and teams are aligned, both can succeed. With these best practices in mind, teams can set goals that will help them succeed and stay motivated.

Frequently asked questions

How do you set SMART goals for a team?

To set SMART goals for a team, follow these steps:

1. Specific: Define the goal simply and ensure every team member understands it clearly. Avoid any ambiguity or assumptions.

2. Measurable: Identify specific metrics that you can use to measure progress towards the goal. This will help the team track progress, make necessary adjustments, and provide an excellent opportunity to discuss progress.

3. Achievable: The goal needs to be achievable and realistic, considering the team’s skills, resources, and abilities. Setting impossible goals can lead to demotivation, while too-easy goals can lead to complacency.

4. Relevant: Ensure that the goal is relevant to the company’s overall mission and vision and aligns with the organization’s values, objectives, and priorities.

5. Time-bound: Set a specific deadline for achieving the goal. This helps keep the team focused and motivated and enables effective planning and resource allocation.

By following these steps, you can set SMART goals that are specific, measurable, achievable, relevant, and time-bound. These team goals contribute to the company’s success and help your team stay focused, motivated, and productive.

What are the steps in setting team goals?

The steps giving the team goals are the following: 

1. Define the overall objective
2. Break down the goal into smaller team objectives 
3. Ask for feedback
4. Assign responsibilities
5. Set a timeline
6. Develop and communicate team goals
7. Track progress
8. Evaluate performance and provide actionable feedback

Should I set goals as a leader for a team member?

Yes, setting meaningful goals for your team members can significantly improve individual and team performance. Involving them in the goal-setting process will also make them more committed to their goals.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post Team Goal Setting: Step-by-Step Guide To Achieve Success appeared first on .