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Kai PM.

Your new top 1% AI product manager.

Kai PM reads every signal your customers send - votes, surveys, support themes, revenue data - and turns them into a prioritized roadmap, written specs, and release notes. The product work that used to take a week happens continuously.

4.6/5 on G2
Trusted by 4,500+ teams worldwide
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Kai PM prioritizing a feature cluster from the Gleap feature request portal.
From feedback to shipped feature
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Powering 4,500+ of the fastest-moving software teams
Meet Kai PM, the agent built for the product work hiding in feedback. Customer feedback in. Prioritized roadmap out. Kai PM clusters demand, scores impact, writes specs, hands approved work to Kai Code, and tells the right customers when their request ships.
Turns messy feedback into feature specs
Kai PM reads support tickets, feature votes, NPS comments, and survey responses, then synthesizes them into structured specs. Not a vague idea. A spec complete enough for an engineer or Kai Code to act on.
Scores priority like a PM with the full customer picture
Every roadmap item gets a priority score from vote weight, plan tier, ARR, strategic fit, market urgency, and recency. Kai PM recalculates as new votes, tickets, and customer signals arrive.
Reads every channel
Direct feature requests, votes, surveys, support themes, in-app messages, and product gaps routed by Kai Resolve.
Adds market context
Monitors competitor changelogs, app store reviews, and market shifts.
Hands approved work to Kai Code
Approved specs become Kai Code plan-mode inputs, build-mode runs, and pull requests.
Closes the loop
After merge, Kai PM writes release notes and notifies the customers who asked for the feature.
A roadmap that keeps reading the room
No more quarterly shuffle.
Vote weight, plan tier, ARR, strategic fit, and recency all feed the score. Kai PM re-scores items as new signals arrive, so your roadmap reflects the customers, segments, and opportunities that matter now. You review, adjust, and override.
See pricing
Writes the release notes when the work ships
The loop closes automatically.
When Kai Code creates a pull request and it gets merged, Kai PM turns the shipped work into customer-facing release notes and notifies every customer who asked for it individually. Not a mass blast. "The feature you requested is now live."
See release notes
“Projects go smoothly.”
Minuit Agency uses Gleap to collect and manage feedback and issues, with clients loving the shake gesture for reporting bugs.
Théo Hudry
CEO, Minuit Agency
Every product job on the feedback list
From customer request to spec, roadmap, pull request, and customer notification
01
1. Cluster demand
Kai PM reads feature requests, votes, surveys, support themes, and product gaps routed by Kai Resolve. Web research adds market context. Output: a complete spec.
02
2. Hand approved specs to Kai Code
On Pro, approved specs can enter Kai Code plan mode, then build mode. Kai Code opens a pull request for review and merge, with the full spec attached.
03
3. Close the loop
After merge, Kai PM publishes release notes and notifies voters and requesters individually. "The feature you requested is now live." Trust compounds.
Signals Kai PM turns into product work
Every input a product team usually has to reconcile by hand
Feature votes
Plan tier, ARR, segment. Each vote weighted by the business value behind it.
NPS and surveys
CSAT, NPS, custom surveys, correlated to feature themes automatically.
Support patterns
Recurring pain points extracted by Kai Resolve across every channel.
Customer tier data
Plan, ARR, contract length, health score, all factored into priority scoring.
Web research
Competitor changelogs, app store reviews, community discussions, market reports.
Codebase context
Aware of what already exists, so it does not recommend duplicates.
Pro
$299/mo
Kai PM access with token-based product analysis.
Everything in Team
25% off on AI tokens
All AI models
Kai PM included
Kai Code and Kai Resolve included
Feature request intake
Kai PM usage billed by actual tokens + selected model
Revenue-weighted prioritisation
Auto-generated release notes
Public roadmap + voting board
Jira / Notion sync
Unlimited team seats
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AI Max
Comparison of Gleap Kai PM vs Canny per-tracked-user pricing.
Compare to Canny
Canny charges per tracked user. Gleap keeps seats flat, with Kai PM usage based on actual tokens and selected model.
See comparison
About Kai PM
What is Kai PM?
Kai PM is Gleap's AI product manager. It reads customer feedback from every channel (support, feature votes, NPS, surveys, in-app), clusters by underlying need, writes structured feature specs with built-in web research and competitive context, prioritises with revenue-weighted scoring, and writes release notes. On Pro, approved specs can hand to Kai Code for plan mode and build mode.
How does Kai PM support self-driving software development?
Kai PM is the product planning layer in self-driving software development. It turns feature requests, survey responses, support themes, and product gaps into prioritized specs. Approved specs can move to Kai Code for plan mode, build mode, and a pull request, then Kai PM writes release notes and notifies the customers who asked.
How is Kai PM different from Canny?
Canny is a feature voting board with manual triage. Kai PM auto-collects feedback from every channel (not just a vote board), clusters semantically, scores by revenue impact (not just vote count), and writes release notes automatically. Pricing: Canny charges per tracked user (~$79/mo and up); Kai PM is available on Gleap Pro at $299/mo with unlimited seats, and usage is billed by actual tokens and selected model. See the Canny alternative.
How is Kai PM different from Productboard?
Productboard is enterprise PM software with manual workflows - collect, prioritise, plan, all manually. Kai PM does the product work autonomously, and Pro can close the implementation loop through Kai Code. Productboard starts at ~$25/maker/mo; Kai PM is available on Gleap Pro at $299/mo with unlimited seats, and usage is billed by actual tokens and selected model. See the Productboard alternative.
How does revenue-weighted prioritisation work?
Every vote is multiplied by the voter's plan tier and ARR. A request from a $50k/yr customer outweighs one from a $0 user. Strategic fit and market urgency add modifiers; recency surfaces trending requests ahead of stale ones. The result is a roadmap that reflects your customers, your business, and your market - not raw vote counts.
Can I override Kai PM's priorities?
Always. Kai PM proposes a prioritised starting point. You review, adjust, and approve. Or set thresholds so Kai PM proceeds autonomously for lower-stakes items while keeping high-stakes decisions in your court.
How does Kai PM write release notes?
After a feature ships, Kai PM drafts customer-facing release notes (benefit-led, not engineering changelog), publishes to your in-app news feed and public changelog, and notifies every customer who voted or mentioned the feature in support. Not a mass blast - a targeted, personalised notification per voter.
Does Kai PM support Jira or Notion?
Yes. Jira and Notion can mirror roadmap status, spec context, and customer demand. On Pro, the actual implementation handoff can go to Kai Code: approved spec, plan mode, build mode, PR, merge, then release notes and customer notifications.
Add Kai PM before the next roadmap debate.
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4.6 / 5
G2 · 4,500+ teams