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AI TOOL FOR PRODUCT MANAGEMENT

Make the right
product decisions -
not just the fast ones

Most AI tools for product teams help them write faster. airfocus helps them decide better, at scale. Customer feedback, strategy, and roadmaps connected into one live intelligence layer, so teams surface what matters, catch strategic drift early, and ground every AI tool in real product context.

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Trusted by leading product teams

Turn signal into strategy. No more
manual triage.

The signals that should be shaping your strategy are buried in tickets, transcripts, and surveys your team doesn't have time to read. airfocus surfaces the patterns that matter, automatically and continuously, traceable back to the source. No manual triage. No signal lost in the noise.

Catch strategic drift while
it still matters

When execution accelerates, misalignment compounds. airfocus continuously compares what your teams are shipping against what your strategy says matters - and flags portfolio-level drift in real time, not in a quarterly review.

Your product context, working inside
every AI tool your teams already use

The airfocus MCP server makes your strategy, feedback, and roadmaps available to Claude, ChatGPT, Copilot - and any custom agents your team builds on top. Query your roadmap. Interrogate your feedback. And go further: build agents that don't just read your product data, but act on it.

Why have a dedicated AI tool for
product management?

The companies seeing real productivity gains from AI aren't the ones with the most sophisticated coding tools - they're the ones who structured how decisions get made before any code was written.

In an AI-first world, speed is no longer the constraint. Knowing what to build is. Development cycles that used to take quarters now take weeks. Execution is no longer the bottleneck. Which means knowing what to build, and why, has never mattered more.

airfocus is a dedicated AI tool for product managers that provides the foundation:
one structured home for
the customer insights, strategy, decisions, and
roadmaps that make every AI investment pay off.

Connected, traceable, and ready for every AI tool your team uses.

How AI in airfocus works

INSIGHTS AGENT

Separate signal from noise,
at scale

The Insights agent continuously analyzes customer feedback across every channel and surfaces the signals that align with your strategy. It catches patterns humans miss at scale - recurring pain points across hundreds of tickets, strategic themes buried in call transcripts, emerging needs across interview cohorts - and links every insight back to the source for auditable, data-backed decisions.

AI DASHBOARD

Portfolio-level answers without scheduling
another status meeting

AI Dashboard widgets scan work across every team and product line to surface what's moving, what's blocked, what's drifting from strategy, and what's trending, automatically. Product leaders get portfolio-level answers without scheduling another status meeting or chasing updates across five tools.

AUTOFILL

Triage feedback to the right team,
automatically

Insights agent reads each piece of incoming feedback - and Autofill links it to what's already in your workspace, suggesting the right fields, labels, and owners. Critical insights reach the teams who need them, without manual tagging. No more feedback dying in an inbox. No more duplicates.

MCP SERVER

Bring airfocus data to the rest of your
AI tools - with MCP

The airfocus MCP server makes your strategy, feedback, and roadmaps accessible to Claude, ChatGPT, Copilot, and any other AI tool your team already uses - and it's the foundation your teams build on to create custom agents that query and act on airfocus data inside your existing workflows. Your product context stops living in a silo and starts powering every AI-assisted decision across the business.

AIRFOCUS AGENT

Write, search, and summarize without
leaving your workspace

AI Assist helps you draft and refine PRDs, problem statements, user stories, and release notes - so the "why" behind every decision stays durable at speed. AI-powered search cuts across strategy, roadmaps, and feedback to surface exactly what you need, and AI summaries keep everyone aligned without another update cycle.

Explore how airfocus
can support your team

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It helps people think about the value behind each decision. Having those tools adds value - it really brings more transparency and trust to the product team.

Eike Johann

CPO - Eturnity

I think my favorite thing about airfocus is the complete transparency, not just for myself and across my own products, but across the developer teams, management, sales, and the rest of our company who have interest in those features.

Lucy O'Shannessy

Product Manager - SNP Group

airfocus has given us the confidence to take bold steps forward. It's not just about improving processes - it's about transforming how we work together as a global organization.

Nathan Thomas

Head of Product - Ricoh Europe

Now that we can record the amount of feedback, the range of topics, and the technical challenges of realizing new features, we no longer have to argue about why this feature or that didn't come first. Our decisions are better now.

Paul Lefevre

Product Manager - Powell Software

The power of airfocus was a crucial tool to the success of this project, providing clarity for everyone around our product vision and product strategy, which was needed to navigate this complex transformation.

Craig Unsworth

CPO - Papirfly

It helps people think about the value behind each decision. Having those tools adds value - it really brings more transparency and trust to the product team.

Eike Johann

CPO - Eturnity

Lucy O'Shannessy

Product Manager - SNP Group

airfocus has given us the confidence to take bold steps forward. It's not just about improving processes - it's about transforming how we work together as a global organization.

Nathan Thomas

Head of Product - Ricoh Europe

Paul Lefevre

Product Manager - Powell Software

FAQs

What are AI tools for product management?

AI tools for product management help product teams analyze customer feedback, summarize research, draft product documents, prioritize work, and connect product decisions to strategy. Most AI tools help product managers move faster on individual tasks. airfocus goes further by giving teams a Product OS where feedback, strategy, roadmaps, and AI agents work from the same product context, so decisions are faster, sharper, and easier to trace.

Are airfocus AI capabilities available to all customers?

Core AI features, including the Autofill agent, airfocus AI, and AI search, are available across airfocus plans. Advanced capabilities such as the Insights Agent, AI Dashboard widgets, and MCP server access may be available on higher tiers. Contact the airfocus team to confirm what's included in your current plan or to explore upgrading.

How accurate are airfocus AI-generated insights and summaries?

airfocus AI is grounded in your actual product data: real customer feedback, live roadmap items, and your team's strategic context. Accuracy improves as more structured product data and context flow into your airfocus team over time.

Are there native AI agents in airfocus, and does it support agentic workflows?

Yes. The airfocus Insights agent continuously reads feedback across every channel and surfaces strategic patterns without waiting for a human to prompt it. The Autofill agent can help take care of any manual tagging of data - including routing feedback and adding other fields for items. Beyond native agents, the airfocus MCP server lets teams build custom agents that query and act on airfocus data inside external tools like Claude, ChatGPT, or Copilot, supporting agentic product workflows grounded in your actual feedback, strategy, roadmap, and decision history.

Is our data used to train AI models?

No. Our commitment to data privacy and protection is relentless, from where data comes from and is stored to how it's used to train models. Here are the facts:

By default, AI capabilities are turned on for all airfocus accounts with access created after March 17, 2026.
airfocus does not use customer data to train models in a way that breaches the confidentiality of our customers' data.
We do not use your prompt inputs to generate content for other customers based on your data.
We do not permit Azure OpenAI to use customer data to improve or train its AI models.
We do store items for your use, and any content in those items is stored for your use as well.

As we expand our AI capabilities, we will continue to do so in a way that does not breach the confidentiality of our customers' data. Read more on airfocus' data privacy and security.

Does airfocus AI work with our existing fields, integrations, and workflows?

Yes. airfocus integrates with the tools your teams already use, including Jira, Azure DevOps, Slack, Intercom, Zendesk, Trello, Shortcut, and more, syncing feedback and roadmap data automatically. Custom fields and hierarchies are fully supported, so the AI can reason over your organization's structure and terminology rather than forcing teams into a rigid template. Feedback flows in from every connected tool, structured product context stays current in airfocus, and prioritized work flows back out to delivery systems. This also includes the AI tools you already use (Claude, ChatGPT, Gemini...) via the airfocus MCP server.

What is MCP?

MCP stands for Model Context Protocol. It is a standard way for AI applications to connect with external tools, systems, and data sources. For product teams, MCP is especially useful because it lets AI tools work with real product context rather than starting from a blank slate. In airfocus, the MCP server gives approved AI tools secure, structured access to roadmap items, priorities, customer feedback, objectives, and the logic behind key product decisions.

What can we build with the airfocus MCP server?

The airfocus MCP server makes your strategy, feedback, and roadmaps queryable from any MCP-compatible AI tool, including Claude, ChatGPT, Microsoft Copilot, and others. Product teams can use it to analyze hundreds of feedback items during discovery, interrogate roadmap status in natural language, create items, comments, and insights, and build custom agents that read and act on airfocus data inside their existing workflows. It turns general AI tools into AI tools for product management because they can work from real product context instead of generic model output.

Can I connect airfocus to Claude, ChatGPT, or Copilot?

Yes. The airfocus MCP server connects your workspace to Claude, ChatGPT, Microsoft Copilot, and any other AI tool that supports the Model Context Protocol. Once connected, those tools can query and act on your live feedback, roadmaps, and strategic context, so product decisions are grounded in real customer signal rather than a generic AI response.

What airfocus data can external AI tools access through MCP, and how current is it?

External AI tools connected via the airfocus MCP server can access approved product context, including strategy, roadmaps, objectives, and customer feedback. The data reflects the live state of your airfocus workspace, so when a team queries feedback or roadmap status through Claude or Copilot, they are working with current information, not a cached export or a stale report. Access is governed by airfocus permissions, so each user only sees the data they're authorized to view. Read more.

Can external AI tools update airfocus data, or only read it?

The airfocus MCP server supports bidirectional read and write access, so approved tools and agents can do more than surface insights. They can act on airfocus data inside your workflows. The scope of what any connected tool can read or update is controlled by your workspace permissions, so admins stay in control of what each user can access and modify.

How do permissions work when using airfocus AI or MCP?

All airfocus AI capabilities respect the permission settings configured in your workspace. Each user sees only the data they're authorized to access, and any external AI tool connected through MCP inherits those same boundaries. Admins retain full control over what each team member, integration, or custom agent can read and act on. Read more.

Start faster with templates built for
AI-powered product management

Customizable templates to get your AI-ready product
organization set up in minutes.

Discover all templates

Full product management workflow

Advanced: Manage your product management process end-to-end.

Feedback to opportunity workflow

Centralize feedback and connect it to your Opportunity pipeline.

Feedback & Insights

Capture and centralize feedback all in one place.

Product strategy

Unlock the potential of your product strategy with this comprehensive template.

"AI is incredibly important to us. To have something like an MCP on top of airfocus, on top of all of that rich data that we've got, is game changing - it means that we can now build in planning and reporting agents. It helps us to place our bets and work with our roadmap in a more coherent way."

Chris Micklethwaite - CPO & CTO, Visit Group