I tried the best AI tools for product managers. Here’s my top 10.
Explore the top 10 AI tools that enhance product management, streamline workflows, and improve decision-making for product managers in 2024.

AI tools are transforming product management by saving time, improving workflows, and enhancing decision-making. I tested the top tools and narrowed them down to these 10, which can help tackle common PM challenges like balancing feature development and meeting deadlines. Here's a quick overview:
- BuildBetter: Turns customer feedback into actionable insights, saving 58 hours/month.
- Productboard: Organizes feedback and links it to product features, boosting productivity by 30%.
- Jira Align: Simplifies large-scale project management with strategic roadmapping tools.
- Monday.com: Automates workflows and delivers a 346% ROI over three years.
- Notion AI: Streamlines documentation and knowledge discovery.
- Asana AI: Automates tasks and provides real-time workflow insights.
- Aha! Roadmaps: Manages ideas and strategic planning with AI-powered tools.
- ClickUp AI: Centralizes task management and automates sprints.
- Trello AI: Uses Atlassian Intelligence for smarter task assignments and risk detection.
- Airfocus: Prioritizes tasks and creates strategic roadmaps with AI assistance.
Quick Comparison
Tool | Key Feature | Best For | Pricing |
---|---|---|---|
BuildBetter | Customer feedback analysis | Insights and workflow automation | Usage-based |
Productboard | Feedback linking to product features | Feedback organization and planning | Custom pricing |
Jira Align | Strategic roadmapping | Enterprise-level project management | Custom pricing |
Monday.com | Workflow automation | Team collaboration and efficiency | Starts at $10/user/month |
Notion AI | Document creation and refinement | Knowledge management | Add-on to Notion pricing |
Asana AI | Workflow automation | Task and project management | Custom pricing |
Aha! Roadmaps | AI-powered idea management | Strategic planning | Starts at $69/editor/month |
ClickUp AI | Task automation and workload insights | All-in-one task management | Starts at $7/user/month |
Trello AI | Smarter task assignments | Simple team collaboration | Included with Premium |
Airfocus | AI-driven prioritization | Agile product planning | Starts at $69/editor/month |
These tools can help product teams save time, reduce costs, and boost efficiency. Keep reading to find out which one fits your needs best!
Best AI Tools for Product Managers in 2024
1. BuildBetter
BuildBetter stands out by transforming customer interactions into actionable insights and automating workflows. Its results speak for themselves: product teams spend 43% more time on revenue-focused tasks and save 58 hours monthly on gathering customer insights.
Here’s how BuildBetter improves operations:
- Customer Data Processing: BuildBetter analyzes data from various touchpoints - like support tickets and sales calls - and turns unstructured feedback into clear insights. It integrates seamlessly with tools like Zoom, Slack, Intercom, and Salesforce, creating a centralized data hub.
- Documentation Automation: The platform simplifies decision-making by automating the creation of documents such as PRDs, user personas, and customer insight reports. Teams report a 30% reduction in decision-making time and a 40% drop in operational workload.
"It was amazing that I was able to go into BuildBetter and say summarize key points from all of these different onboardings and boom, that blew me away." – Alex Mohseni, Founder
- Knowledge Operations: BuildBetter’s CustomContext feature tailors AI responses to match a company’s unique knowledge base. According to Mark Gale, Head of Architecture:
"ChatGPT is a parlor game compared to this."
These tools deliver measurable results. Teams save 18 hours per two-week sprint, translating to $21,000 in annual savings per person (based on $45/hour). Product Lead Aditya Goyal highlights its importance:
"We don't operate without BuildBetter. This is the only platform that we use religiously."
BuildBetter’s usage-based pricing model - rather than per-seat licensing - drives an impressive 98% subscription retention rate.
Time Savings | Cost Reduction | Efficiency Gains |
---|---|---|
18 hrs per sprint | $21,000/year per person | 43% more time on key tasks |
58 hrs/month per project | - | 30% faster decisions |
Half as many meetings | No per-seat pricing | 40% less operational work |
2. Productboard
Productboard helps product teams better manage customer feedback and streamline planning. Its effectiveness is backed by results: 74% of users have seen over a 20% boost in efficiency for core product management tasks.
Here’s how Productboard delivers:
Smart Feedback Handling
The platform’s AI engine processes customer feedback from various channels, automatically organizing and linking insights to product features. One client reported an 80% improvement in feedback processing, with a 30% increase in connecting insights to features.
Support for Multiple Languages
Zenchef uses Productboard to handle feedback from hundreds of restaurants across six countries, covering eight languages. Felipe Mury Botelho, Lead Product Operations, shared:
"Productboard AI has allowed us to collect, triage, and make decisions based on feedback from hundreds of restaurants across six countries and in eight different languages. It doesn't matter how many languages my PMs speak; with Productboard, all feedback is valid and quickly digested."
Seamless Workflow Integration
Productboard integrates with essential tools across feedback, design, and development:
Integration Type | Tools |
---|---|
Customer Feedback | Slack, Zendesk, Intercom |
Design & Collaboration | Miro, Figma, Mural |
Development | Azure DevOps, GitHub, Trello |
OutSystems saw a 30% productivity increase after adopting Productboard. Anabela Cesario, Director of Product Operations, noted:
"Productboard has improved the productivity of our product teams by 30%. They are now able to understand product strategy and use Productboard on a daily basis to make decisions."
AI-Driven Features
Smartly.io leverages Productboard AI to handle hundreds of feedback notes at once. The auto-linking feature ensures user insights are continuously connected to feature ideas, simplifying the development process.
For Arena (PTC), Productboard’s AI has transformed their workflow. Kraig Clark, VP of Product, explained:
"We've fallen in love with Productboard's AI capabilities, which are incredibly useful for identifying and summarizing feature-related insights, saving our team countless hours of manual work. Productboard has been one of the best software investments we've made, as it helps to align the needs of our customer-facing teams with the features we are planning for and building."
These success stories highlight how Productboard enhances product management and decision-making.
3. Jira Align
Jira Align is designed for managing large-scale, complex development projects. Recognized as a Leader in the 2022 Gartner Magic Quadrant for Enterprise Agile Planning Tools, it bridges the gap between high-level enterprise strategy and the day-to-day work of teams.
Strategic Roadmapping Tools
The Live Roadmap feature makes it simple for product managers to visualize and adjust work items. With drag-and-drop functionality, teams can organize tasks by factors like strategic goals (e.g., Theme, Objective), operational metrics (e.g., Health, State), or organizational roles (e.g., Product, Owner).
Smart Feature Management
Jira Align centralizes product work in its feature backlog. The "Pull Rank" tool automatically reorganizes features when priorities shift at the initiative level.
"[Jira Align] helps us to get more work done faster, better, and to reduce friction in our whole development life cycle."
Real-time tracking features ensure teams stay updated on progress.
Real-Time Progress Monitoring
The Program Board provides a clear overview of development efforts, using tools like Program Increment Planning, Value Stream Monitoring, and Risk Assessment.
Seamless Documentation Integration
Product managers can link essential documents - such as personas or competitor analyses - directly to work items. This feature allows teams to create tailored views of project progress.
Enhanced Cross-Team Collaboration
The Program Tracking feature consolidates information on risks, dependencies, objectives, epics, and features. This helps product managers identify potential roadblocks and keep projects on track.
"Jira Align was engineered to connect enterprise strategy with team work execution."
4. Monday.com
Monday.com is a game-changer for managing product workflows. Recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Collaborative Work Management and Adaptive Project Management and Reporting, it empowers product teams to work more efficiently and collaboratively.
With its AI-powered automation, Monday.com simplifies repetitive tasks and offers a drag-and-drop interface to tailor workspaces for every stage of product development.
The platform delivers impressive results. Users have reported a 346% ROI over three years, saving $121,000 in productivity gains and $123,000 in administrative costs.
"monday.com has enabled our group to launch more product categories and expand into more markets in way less time."
– Chris Funk, Senior Director of Product Innovation
Key Metrics from Canva's Experience:
Metric | Result |
---|---|
Production Speed | 40% faster |
Creative Output | 3x increase (60,000 ads) |
Manual Actions Saved | 657 actions |
Monday.com's dashboards provide real-time insights. For example, UMG saw 517% year-over-year account growth while managing 73 cross-department workspaces.
The platform also supports hundreds of integrations and features an open API, making it easy to connect with other tools quickly.
"In a business that's 80% quick turnaround and 20% forecasting, monday.com has allowed us to maximize our efforts with lanes of visibility into short forecasting windows that help drive and stimulate opportunistic sales."
– Jacob Thomas, Senior VP of Global Sourcing & Supply Chain
5. Notion AI
Notion AI is making waves in product documentation and team collaboration. Alex Heath, Deputy Editor at The Verge, shared his perspective:
"It's the slickest, most practical implementation of generative AI for text that I've used to date"
Here’s how Notion AI can help product managers streamline their work:
Document Creation and Refinement
Turn basic bullet points into polished, detailed documents. Whether it's product requirement documents (PRDs) or meeting agendas, Notion AI can handle it.
Knowledge Discovery
Notion AI brings hidden organizational knowledge to the surface. Faith Lierheimer, Senior Technical Instructor at dbt Labs, highlights this:
"It's really powerful when Notion AI surfaces organizational knowledge that I didn't know to look for, because I didn't even know it existed"
Research and Insights
This tool can analyze lengthy documents, identify patterns, summarize key takeaways, and even suggest actionable steps.
Feature | How It Helps Product Managers |
---|---|
Smart Summarization | Turns extensive user research into clear insights |
Theme Extraction | Spots recurring trends in customer feedback |
Action Item Generation | Creates task lists from meeting notes |
Document Enhancement | Sharpens and clarifies technical documentation |
Tips for Product Managers
- Add AI summary blocks to document templates for consistent knowledge capture.
- Use targeted prompts to dig deeper into user research.
- Simplify complex product specs with AI to improve collaboration across teams.
Notion AI connects seamlessly with tools like Slack, Google Workspace, and AI models such as GPT-4 and Claude. This integration ensures product managers can stick to their usual workflows while using AI to save time and make smarter decisions.
6. Asana AI
Asana AI streamlines how product teams work by automating tasks and creating smarter workflows. It's a go-to for 98% of Asana's top 500 customers, who use its AI-powered features to improve efficiency.
Smart Workflow Automation
Asana's AI Studio lets teams build custom AI agents without needing coding skills, seamlessly integrating AI into their processes. Belinda Hardman, Director of Program Management at Morningstar, shared:
"Previously, it took two weeks to review a request. Now we can eliminate manual back and forth because Asana AI is embedded directly into our workflows and captures the information we need right off the bat."
Key Features for Product Teams
Feature | How It Helps Product Managers |
---|---|
Smart Projects | Creates project descriptions and custom fields automatically |
Smart Status | Offers AI-generated updates and flags potential risks |
Smart Fields | Simplifies data entry and ensures accuracy |
Smart Editor | Makes documentation and communication more efficient |
Real-World Impact
Clear Channel Outdoor's early adoption of Asana AI highlights its impact. In October 2024, the company cut manual work during intake by 60%, saving 15 hours per request. This improvement allows them to handle over 2,500 requests monthly with ease. These results pave the way for smoother operations across the board.
Workflow Integration
Asana's Work Graph model connects tasks, projects, and team goals, offering valuable context. Michelle Kim, Product Manager at Asana, explained:
"With AI Studio, AI can be embedded into teams' existing workflows, so they don't have to seek out a separate application or tool, like ChatGPT, to interact with it. It's embedded where the work is already happening. And it works automatically."
Practical Applications
Product managers can rely on Asana AI to handle tasks like triaging requests, suggesting timelines, drafting content, and providing real-time insights.
For instance, Morningstar used AI Studio to speed up their workflow intake process, cutting roadmapping timelines by an average of two weeks per workflow. This time-saving approach frees teams to focus on strategic projects instead of routine tasks.
7. Aha! Roadmaps
Aha! Roadmaps is a platform designed to improve strategic planning and idea management. Trusted by over 700,000 product builders and managing more than 10 million features, it helps teams streamline product development processes.
AI-Powered Idea Management
The platform includes an AI Ideas Exploration tool that analyzes language patterns in idea descriptions to group similar concepts. This makes it easier for product managers to spot trends and uncover opportunities. To date, the platform has processed over 8 million ideas. This approach simplifies idea management and lays the groundwork for better strategic planning.
Feature | How It Helps Product Teams |
---|---|
Ideas Exploration | Groups related customer feedback by themes automatically |
Merge Suggestions | Combines duplicate ideas to keep everything organized |
Release Notes Generator | Summarizes completed features into professional updates |
Integration Hub | Connects with 65+ tools across different development systems |
Strategic Planning Tools
Claire George from Aha! highlights the value of their advanced tools: "Aha! Ideas Advanced enables rapid exploration of customer ideas and insights". One example of its impact comes from Surescripts, which achieved:
- A return on investment exceeding 250%
- 12,000 hours saved annually through automated roadmap processes
- A unified dashboard to track progress at every stage
How Teams Use It
Teams using Aha! Roadmaps report improved alignment and efficiency. For instance, its AI-powered release notes feature automatically organizes completed features, categorizes them, and provides summaries of their benefits. These tools integrate seamlessly into broader workflows, supporting better collaboration and decision-making.
Integration with Key Tools
Aha! Roadmaps works with popular tools like Jira, Trello, and Salesforce. Product managers can send plans directly to engineering teams in Jira, with progress updates syncing back in real time.
The platform also connects with Microsoft Teams for sharing roadmaps, GitHub for tracking features, and Azure DevOps for coordinating development efforts. These integrations ensure smoother collaboration and help bring products to market faster.
8. ClickUp AI
ClickUp AI helps product teams manage tasks, documentation, and collaboration in one place. With over 2 million teams already using it, it simplifies workflows through its centralized hub.
AI-Powered Task Management
The ClickUp Brain feature improves operations by analyzing tasks, creating roadmap-linked tasks, and providing real-time workload insights.
Feature | How It Helps Product Teams |
---|---|
Task Generation | Automatically creates tasks and links them to roadmap items. |
Sprint Automation | Handles sprint planning and prioritization. |
Workload Analysis | Highlights team capacity and suggests schedule changes. |
Smart Summaries | Turns task discussions into clear, actionable insights. |
Workflow Automation
ClickUp's automation tools reduce repetitive tasks through customizable workflows.
"ClickUp keeps our engineering department hyper-focused on the right initiatives. We use automated sprints to prioritize requests and provide real-time visibility and progress to our stakeholders".
Boosting Team Productivity
ClickUp AI offers tools designed to enhance team performance:
- Smart Workload Management: ClickUp Brain tracks workload patterns and adjusts workflows to prevent burnout.
- Automated Notifications: Sends task reminders tailored to individual productivity habits, ensuring they arrive at the right time.
Seamless Integrations
ClickUp works with over 200 tools, making it easy to connect with platforms like:
- GitHub for tracking development progress
- Slack for task updates
- HubSpot for managing pipelines
- Google Drive for file sharing
- Zoom for meetings
- Zendesk for customer support
Affordable Pricing
At just $7 per user per month, ClickUp Brain can save mid-sized companies about $94,000 annually by replacing multiple AI tools.
"Having everything under one roof was super important".
With its combination of task automation, workload management, and cost-saving features, ClickUp AI is a powerful tool for modern product teams.
9. Trello AI
Trello AI, powered by Atlassian Intelligence, brings smarter automation and insights to streamline board management for product teams.
AI-Powered Task Management
Trello's AI uses past project data and team performance metrics to refine workflows. Here's how it helps:
Feature | How It Helps Product Teams |
---|---|
Task Assignment | Matches tasks to team members based on their strengths |
Deadline Management | Estimates realistic timelines using historical data |
Risk Detection | Flags potential bottlenecks early on |
Communication | Summarizes discussions and highlights critical decisions |
Workload Analysis | Distributes tasks evenly to avoid burnout |
Smart Automation with Butler
Trello's Butler automation takes action when a card is marked "urgent." It moves the card to the top of the list, notifies team members, assigns due dates, and even creates checklists.
"AI agents in Trello are game-changers. They're not just fancy add-ons; they're digital teammates that fundamentally reshape how we interact with our project management tools. These agents bring a level of intelligence and automation that transforms Trello from a static board into a dynamic, thinking platform." – Relevance AI
Additionally, natural language processing enhances task details and improves communication.
Natural Language Processing
Atlassian Intelligence uses context and intent to help product managers:
- Fine-tune card descriptions
- Pull actionable items from discussions
- Generate content suggestions
- Polish communication with improved grammar
Enterprise Integration
Starting in June, Premium and Enterprise users can access Atlassian Intelligence without extra charges. The system integrates with 216 tools, ensuring smooth information sharing across your product stack.
Intelligent Notifications
Trello AI customizes notifications based on task urgency, team schedules, project dependencies, and engagement history.
Premium users can activate these features in Workspace settings, while Enterprise users can do so via the Enterprise Dashboard. To use the AI tools, click the blue Atlassian Intelligence button or type "/ai" when editing cards.
These updates make Trello a more efficient and data-driven tool for managing product operations.
10. Airfocus
Airfocus offers a modular platform designed to help product teams with AI-driven prioritization and strategic roadmapping. Its AI Assist tool integrates into item descriptions and comments, making workflows smoother and more efficient.
AI Tools for Product Planning
Airfocus's AI Assist provides tailored prompts to support product managers in key areas:
Task Type | AI Assistance |
---|---|
Documentation | Generates user stories and product requirement documents |
Communication | Simplifies technical language for easier stakeholder communication |
Analysis | Conducts sentiment analysis on customer feedback |
Ideation | Drafts initial ideas and brainstorming content |
Prioritization | Uses scoring systems to assess and rank task importance |
Seamless Integration with Tools
Airfocus syncs with popular product management tools for a more connected workflow. It supports two-way integration with:
- Development tools: Jira, Azure DevOps, GitHub, Linear
- Feedback channels: Intercom, Salesforce, Zendesk
- Communication platforms: Slack, Microsoft Teams
Additionally, it connects to over 2,000 apps via Zapier.
Collaborative Prioritization Framework
The Priority Poker feature promotes teamwork by quantifying task importance and aligning decisions across teams. Its effectiveness is backed by real-world success stories:
"With airfocus we built a unified setup for 32 products and over 300 services in just 12 months (instead of 2-3 years). The power of the tool helped us navigate this complex transformation by providing constant clarity around our product vision & strategy." - Craig Unsworth, CPO - Papirfly
Flexible Enterprise Features
Airfocus offers three pricing tiers to fit different team needs:
- Advanced: $69/editor/month (billed annually)
- Pro: Custom pricing
- Enterprise: Tailored solutions
Enterprise customers benefit from extra security options, as noted by Oliver Mitchell, Product Ops Manager at Oodrive:
"airfocus stood out for its robust EU-based hosting. Its flexibility has allowed us to streamline our product management across multiple teams, ensuring our data stays protected while adapting to our unique requirements."
Designed for Practical Use
Airfocus simplifies multichannel feedback collection and standardizes team prioritization, leading to smarter decisions. Its customizable templates and visual tools, like Gantt and Kanban boards, are particularly helpful for managing complex strategies.
"I am happy to have airfocus to score my items and prioritize my backlog. What's great is that, because of this level of prioritization, we can all have an open discussion and have a better understanding of why we are doing certain things." - Bruno Ballester, Product Manager - Royal Canin
These features make Airfocus a go-to solution for agile and data-informed product management.
Next Steps for Product Teams
Assess Your Team's AI Readiness
Before introducing AI tools, take a close look at your workflows and identify any bottlenecks. Richard Schwartz, partner at T&Co by Cherry Bekaert, puts it well: "The AI strategy should be guided by business value. Otherwise, it's the business equivalent of a tail wagging the dog".
Team Size | Primary Focus | Recommended Starting Point |
---|---|---|
Solo PM (1-2) | Tools for various tasks | Begin with AI writing and analysis tools |
Small Team (3-10) | Collaboration and feedback | Use shared workspaces and documentation |
Enterprise (10+) | Complex workflows and scaling | Implement comprehensive AI platforms |
Once you've assessed your team's readiness, outline a phased plan for integrating AI tools.
Implementation Strategy
A phased approach works best for AI integration. Christopher Fox, Director of Product Ops at Dashlane, shares, "Productboard AI helps us get straight to the heart of feedback quickly by using AI summaries, making sure we get the feedback to the right product team in a timely manner".
-
Data Infrastructure Assessment
Amy Webb, a quantitative futurist, advises: "You can't leap to an AI future without having some of that internal infrastructure taken care of first". Start by:
- Auditing your data sources
- Defining data quality standards
- Implementing strong security protocols
-
Team Training and Support
- Conduct hands-on training sessions
- Create clear documentation of best practices
- Identify team members to act as AI champions
- Integration Planning Choose tools that work well with your current tech stack. Stack Overflow highlights the risks of poor integration: "When AI tools aren't properly integrated, they interrupt rather than enhance the flow state. Constant context-switching is costly, and AI tools should make such interruptions less, rather than more, frequent". Well-integrated tools will complement your workflows instead of disrupting them.
Measuring Success
Track your progress using these metrics to ensure your AI tools deliver value:
Metric Category | What to Measure | Target Improvement |
---|---|---|
Efficiency | Time saved on routine tasks | 15-20 hours per month |
Quality | Fewer documentation errors | 40-50% reduction |
Adoption | Percentage of active users | 75%+ team engagement |
ROI | Savings compared to tool costs | 2-3x return within six months |
Privacy and Compliance
As you roll out AI tools, prioritize data protection. Kurtz from Cherry Bekaert remarks, "ERP and CRM are now table stakes, and AI is a new tool that will help companies continue to refine and increase productivity or the value of their services".
- Schedule regular security audits
- Establish strict data handling protocols
- Follow all relevant industry compliance standards
- Define clear usage policies
"CEOs need to start with the business value they want to achieve and reverse engineer through all the possible roads to take to get to that value".
Maintaining high data standards ensures your AI initiatives remain productive and trustworthy.