AI feedback analysis for clearer product priorities.

Kai PM is Gleap's AI product manager for customer feedback. It sorts incoming feature requests, finds duplicates, scores priorities and answers questions about your backlog. Your team sets the goals and decides what to build.

AI customer feedback analysis uses language models to group, deduplicate and rank what customers ask for, so a team sees demand without reading every ticket. In Gleap, Kai PM does this for feature requests: it finds duplicates, scores each request against demand, revenue, strategic alignment and effort with your weights, and answers questions about the backlog. For support conversations, the Topic explorer in Reports groups tickets and conversations into topics. Your team decides what to build.

Yes. Kai PM is generally available on Team, Pro and Enterprise. Open Kai PM in your feedback portal and finish the four-step setup: company and goals, how scoring works, revenue tracking and launch.

The term has two meanings. Most often it is a role: a product manager who builds AI products with data science and engineering teams. It also describes AI software that takes on part of a product manager's work, such as sorting customer feedback, finding duplicates and scoring priorities. Kai PM is the second kind: it evaluates requests against customer demand, revenue, strategic alignment and effort, plus your own criteria, and your team decides what to build next.

Kai PM scores incoming feature requests against your company goals. With Let Kai decide, which is on by default for new projects, it also accepts each new request, merges duplicates into the existing request or declines with a reply to the submitter. Add rules for Kai PM in its settings, or turn it off to review every request yourself.

Yes. You can configure the weights used for demand, revenue, strategic alignment and effort, and add your own criteria. Kai PM uses that formula to rank requests, and you can ask it to re-score your backlog when priorities change.

Ask Kai PM which requests to ship next, find duplicates, summarize a request or re-score the backlog. It works on feature requests and their context, with quick tasks available directly in the composer.

Yes, through the feature requests they are linked to. Support conversations can be linked to feature requests so the customer need stays attached to the work. Kai Support can show customers the matching request or suggest a new one, and from Team, Kai Resolve adds the customer's vote to the existing request or files it. See customer feedback software.

Yes. Gleap suggests changelog entries from merged pull requests and released feature requests. Suggestions include sources and confidence, and become drafts your team edits and publishes. See release notes and changelogs.

Choose Build with Kai on an approved request, or ask Kai PM to start a coding session; Kai PM confirms the request and repositories with you before Kai Code starts. Your team reviews and merges the pull request; some models also offer a plan step first. See Kai Code.

Kai Support answers customer questions. Kai Resolve investigates hard tickets. Kai PM manages feature requests and priorities. Kai Code turns approved work into code changes and pull requests.

Kai PM connects customer demand to the planning step in self-driving development. Your team sets the direction, reviews changes and closes the loop with customers after release.

Yes, within your settings. With Let Kai decide, Kai PM writes the reply to the submitter when it accepts or declines a request and answers their follow-up questions; complaints and requests for a person go to your team. Asking for more context and telling customers a feature already exists are optional settings. Updates to voters when you build or release a request are sent by your team.

Kai PM is included in Gleap Team, $149 per month billed annually ($179 billed monthly), and in Pro and Enterprise. Its AI usage is billed by the work it does, by the tokens each run uses. See pricing for current plan details.