February 2nd, 2025

10 Best AI Project Management Tools to Use in 2025

By Connor Martin · 9 min read

Learn about the Best AI Project Management Tools to Use in 2025. Try Julius AI Today!


“Boss, what do I need to do next?” It’s the refrain that many a project manager has heard time and again during their careers. Juggling resource allocation and task management – often across several projects at once – is the project manager’s lot in life. It can all get a little tough, especially as you have a cascade of tasks to assign and no help to do it.

You may be sailing in that project manager’s boat.

And if you are, you’ve probably found yourself wishing for some kind of tool – any kind of tool – that could make your job a little easier. A piece of project management software, perhaps powered by AI. We don’t just have one piece for you here. We have 10, with each of these AI tools dedicated to project management, offering something a little different.

Key Takeaways

- AI tools streamline project management by automating repetitive tasks, predicting timelines, and optimizing resources, allowing managers to focus on strategy and leadership.
 

- Top AI project management tools like Julius AI, Taskade, and Jira cater to diverse needs, from data analysis to Agile workflows, making them versatile for various industries.

- AI enhances collaboration and decision-making through real-time notifications, predictive analytics, and clean visualizations, but it complements rather than replaces human judgment and creativity.

What Is an AI Project Management Tool?

Project management tools, at their core, are pretty simple. It’s software that helps you to plan (and track) what your team is doing so you can keep projects on track. To-do lists and dynamic task assignments are common features of these pieces of software if you stick to the standards.

Then, you throw artificial intelligence into the mix.

AI brings with it automation, such as a tool that has the ability to predict project timelines for you. Through prediction comes automatic task assignment and management. An enormous amount of work is lifted off your plate as a result. 

Other AI features include the automation of boring and repetitive tasks and teamwide notifications that keep your crew on track. The point is that AI project management software makes the jobs of project managers easier. You let the AI handle the simple (but time-consuming stuff), which leaves you free to actually oversee your team and the project on which they’re working.

What 10 Project Management Tools Are Worth Trying Today?

Let’s jump right into it. You’re looking for the best AI tool for your project management needs. We have 10 of them that are suitable for everything from logistical projects to software development:

1. Julius AI

2. Taskade

3. Airtable

4. Notion

5. Zapier

6. Trello

7. Jira

8. Paymo

9. Wrike

10. Stepsize


#1 – Julius AI

Combine ChatGPT with data analysis, and you will get Julius AI

Combine ChatGPT with data analysis, and you will get Julius AI. Trusted by two million people already – many of them project managers – the tool allows you to chat with your documents. What does that mean? You upload a document into Julius and ask questions using the chat interface. Julius then delivers the answers, ranging from insights into your data to full-blown reports you can present to upper management.

Therein lies the main reason we’re recommending this AI tool. It’s a data analysis powerhouse. The charts it creates are clean and relevant to the data you import. You even get access to statistical modeling if your project requires you to get granular with numbers.

Example Gantt chart visualizing a project’s tasks, timelines, and team responsibilities. Created in seconds with Julius AI
Example Gantt chart visualizing a project’s tasks, timelines, and team responsibilities. Created in seconds with Julius AI

#2 – Taskade

Thanks to Taskade’s AI, every stakeholder in your project will know what they’re supposed to be doing and why.

We like Taskade because it helps to keep us organized. The AI workflow generator is the highlight – it will automatically create your workflow to make task assignments a snap. A better workflow means greater collaboration between your team. Thanks to Taskade’s AI, every stakeholder in your project will know what they’re supposed to be doing and why.


Integration with GPT-4 is also a massive plus point. That brings an AI chat assistant into the mix that you can use to help you manage tasks. And with GPT-4 comes the ability to generate and summarize content – both handy features for project documentation.

#3 – Airtable

Airtable integrates AI in a manner that prevents it from getting in the way of your spreadsheets. Think automatic embedding to streamline workflows and insight extraction, and you get the gist.

Airtable has been around as a non-AI project management software for quite some time. It still delivers what you expect in terms of handy spreadsheets and databases that help you organize your projects. We’re also big fans of its templates, especially the task management ones. Throw integration with other project management tools like Slack and the Google Suite into the mix, and you will get a tool that’s already a strong contender even without AI.

Then, once you add a dash of AI, Airtable integrates AI in a manner that prevents it from getting in the way of your spreadsheets. Think automatic embedding to streamline workflows and insight extraction, and you get the gist. You can even use the tool’s AI to generate and translate content.

#4 – Notion

Notion is a solid data hub because it links you to templates you can use for project documentation.

We like to think of Notion as more of an assistant to your primary project management tool rather than your main tool. Don’t get us wrong – it offers the functionality to manage projects. But it’s the massive resource bank combined with its generative AI abilities that help it stand out. It complements rather than replaces your existing tools.


Notion is a solid data hub because it links you to templates you can use for project documentation. Plus, we can’t ignore “Ask Notion.” Operating as a virtual assistant, “Ask Notion” delivers reports and can generate basic documents you can use as agency resources. That assistant is also your guide through Notion. It teaches you everything about what the tool can do so you’re not wasting time and resources on a long-winded learning process.

#5 – Zapier

Zapier is a lot like Notion, in fact, as it’s another AI project management tool that is more of a hub than a self-contained solution.

Integration is the mother of ingenuity in project management, and there’s no tool that does it better than Zapier. Over 2,000 integrations are at your fingertips, transforming this project management software into a brilliant hub from which to oversee your projects.

But that’s been Zapier’s stock-in-trade long before AI came into the picture. With the rise of generative AI comes a host of clever templates that Zapier claims 100 million people have already used. ChatGPT integration allows you to draft emails and create documents in seconds. You can also integrate with Slack and Notion to use AI to create to-do lists for your team and personal tasks. Zapier is a lot like Notion, in fact, as it’s another AI project management tool that is more of a hub than a self-contained solution.

#6 – Trello

Trello delivers one of the most powerful AI task management features on the project management tool market. It’s an AI-powered workflow customizer.

Butler Power-Up. With these simple words, Trello delivers one of the most powerful AI task management features on the project management tool market. It’s an AI-powered workflow customizer. It’s an automated task assigner and notification system for your team. Butler Power-Up is Trello’s way of using AI to streamline every aspect of a project you create.


All of that goes on top of its long-standing reputation as one of the best visual project tracking tools around. Trello gives you a Kanban board – a helpful visual set of to-dos – that lets you see what’s going on in your project and what you still need to do. For this tool, the AI is the cherry on top of what is already a simple and sleek project management suite.

#7 – Jira

Jira helps you manage project Scrums and has built-in features to support Agile workflows.

There are two things we love about Jira – it’s free (up to a point), and it’s made for your software development team. There’s a hint that this is more of a niche AI project management tool than most on our list. Jira helps you manage project Scrums and has built-in features to support Agile workflows. It also offers a Kanban board – like Trello – though it admittedly feels more like an afterthought in this case.

As for AI, we love the natural language implementations in Jira. You can use basic English combined with AI to search through your code and quickly identify issues and dependencies. Jira’s AI also delivers development insights. It’s basically a great way to accelerate your software development projects because it cuts out the need to pore over thousands of lines of code.

#8 – Paymo

Paymo is the AI project management software of choice if you’re a freelancer or you oversee projects at a small agency.

Paymo is the AI project management software of choice if you’re a freelancer or you oversee projects at a small agency. So, like Jira, it has a niche. And it goes further into that niche by homing in on billing for time in your project. Its AI tools help you track the time you’ve spent on work – adding in expenses along the way – and it auto-generates invoices to send to your clients.


Speaking of your clients, they’ll also love the visibility that Paymo offers. You can add them to the tool as guests so they can see what you’re doing and even comment on tasks in progress. But the niche aspect may make it unusable for larger companies – you’re restricted to just five clients.

#9 – Wrike

Wrike is a little like Airtable in that it delivers a spreadsheet-focused interface through which you can manage your projects.

We go from small agency tools to enterprise-level software with Wrike. It’s a little like Airtable in that it delivers a spreadsheet-focused interface through which you can manage your projects. But we’d argue that it offers more customization at the column level than Airtable. For example, you can update tasks on the fly, noting whether they’re “new,” “in progress,” “completed,” “canceled,” and a whole slew of other options.


As for its AI features, Work Intelligence® delivers. You get generative AI features to construct content that is refinable using brand voices and tones. We also love the risk prediction feature. It’s ideal for optimizing resources in a project and helping you construct workflows that account for problems like employees requiring sick leave. Throw in a task summarizer, and Wrike’s AI tends to complement the spreadsheets you create well.

#10 – Stepsize

As a standalone AI tool, Stepsize can add context to your metrics and project data. It tells stories using your data.

Maybe Jira isn’t doing it for you as a software development project management app. You don’t have to go for a more generic tool if that’s the case. Stepsize serves the same kind of niche with similar integrations. 

It features generative AI tools that deliver summaries of your sprints and any Kanban boards you create. Plus, it’s an integration powerhouse – Slack and GitHub both fall under its umbrella. You can even integrate Stepsize with Jira to double up on your AI-powered software development workflow management.

As a standalone AI tool, Stepsize can add context to your metrics and project data. It tells stories using your data. Those stories are also delivered in plain language, which makes it easy to see what’s happening with your project at a glance. 

We’re also big fans of its risk management features. Stepsize’s AI doesn’t just identify risks in your project. It comes up with practical solutions and suggestions for mitigating those risks before they develop into problems.

Benefits of Using AI Tools for Project Management

Maybe you have a handful of AI tools in mind after checking out our list. But you have to put your project manager’s hat on for a second and ask a question:

What benefits does an AI tool deliver that justify the money you’ll have to spend on it?

- Automation: Every repetitive task you have to assign to your team is a drain. These boring tasks need to be done, but they are an absolute waste of time. AI lets you automate repetitive tasks so your people can switch their focus to work that actually moves your project forward. Why is that important? Your team spends more time on work that generates revenue and less on all of the finicky stuff it needs to do behind the scenes.

- Data-Driven Insights: We live in a data-driven world, and there’s so much of the stuff floating around that it’s often hard to figure out what your data is telling you. Again, AI can come to the rescue by delivering insights – and even reports – into your project data.

 

- Clean Visuals: Speaking of reports, a good AI tool can deliver them along with clean visuals like charts and tables. Julius is a great example. You can enhance your entire project visibility when you implement AI to craft visuals. Those visuals easily slot into presentations – for your team or clients – and can help with your reporting on your project progress.


- Improved Collaboration: Project management isn’t just task assignment with a sprinkling of your oversight. It’s creating an environment in which your team can work together to solve a problem. AI project management tools often do that by centralizing communication and incorporating handy notification systems.

 
- Optimize Analytics: Coming back to the data issue, AI project management tools may also deliver predictive analytics. What’s going to happen with your project? Why? What risks will you face? A good AI tool can tell you the answers to these questions.

Example data visualization that shows how AI tools enhance project management efficiency through two key views: a comparison bar chart showing time savings and a real-time project progress tracker. Created in seconds with Julius AI
Example data visualization that shows how AI tools enhance project management efficiency through two key views: a comparison bar chart showing time savings and a real-time project progress tracker. Created in seconds with Julius AI

Want to Make Your Projects Less Stressful? Try Julius AI for Free Today

Julius AI combines data analysis with visualization to deliver a great AI tool for project management. Think of it as ChatGPT for your data. You ask the questions, and Julius answers them with reports and even helps you manage tasks based on the data you present. 

If you’re ready to find out more, try Julius AI today – your new AI data analyst awaits.

Frequently Asked Questions (FAQs)

Which AI tool is best for project management?

The best AI tool for project management depends on your specific needs. For data analysis and visualization, Julius AI is a standout, while Taskade excels in workflow automation and collaboration. Tools like Jira and Stepsize are ideal for software development teams, offering Agile-focused features powered by AI.

How is AI used in project management?

AI streamlines project management by automating repetitive tasks like scheduling, task assignments, and notifications. It also provides predictive analytics to forecast project timelines, identify risks, and optimize resources. AI tools can even generate reports and visuals, saving you time and improving decision-making.

Will AI replace project management?

AI is a powerful assistant but not a replacement for project managers. While it automates repetitive tasks and delivers valuable insights, it can't replicate human judgment, creativity, and leadership. Think of AI as your right-hand helper, allowing you to focus on strategy and team management.

What are the pros and cons of AI in project management?

AI offers benefits like automation, improved collaboration, and data-driven insights that save time and boost efficiency. However, it comes with challenges, such as a potential learning curve and the upfront cost of implementation. When used wisely, the pros often outweigh the cons.

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