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Koomi AI
Koomi AI Turns Customer Feedback Into Product Updates
Resolve customer issues, turn validated feedback into Multica issues, assign them to coding agents, and review the resulting pull requests before they ship.
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Conversation target
#10
Resolution target
#100
AI repliesToday
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AI-assisted conversations
AI repliesAgent replies
Koomi AI connects teams and coding agents in one product loop
SupportSuccessProductEngineeringCoding agentsSupportSuccessProductEngineeringCoding agents
Koomi AI support continues after the conversation
Listen with customer context
Koomi AI joins each support message to verified account identity, product state, recent events, and the customer journey so teams can resolve the issue without repeated questions.
Validate before building
Koomi AI groups related feedback, removes duplicates, and captures affected accounts plus reproduction evidence before engineering begins.
Build through Multica
Koomi AI creates a structured Multica issue, where the team assigns a coding agent and follows progress until human review.
Listen and validate
Koomi AI turns support conversations into product evidence
Koomi AI combines customer voice with first-party account and product context. Support answers now while product decides what deserves to be built.
Koomi Assist drafts a reply, shows its context, and keeps a human in control. Related requests can be linked without turning every message into roadmap work.
Account-aware resolution
Koomi AI can use signed identity, plan, role, recent events, and approved help content to produce a useful draft while the customer is still in the conversation.
Evidence, not anecdotes
Group similar reports, record how the behavior was reproduced, and show which customer journeys and account segments are affected before product accepts the work.
Scoped handoff
Koomi AI converts accepted feedback into a problem statement, constraints, customer impact, and acceptance criteria instead of forwarding an unstructured transcript.
Koomi AI feedback loop
LiveValidated signal
Export workflow · 14 accounts
7 paid teamsreproduciblehigh impact
Our weekly export keeps dropping the date filter. Can the product remember it?
Yes. I reproduced the issue, linked the affected accounts, and drafted clear acceptance criteria for product review.
Feedback validated
Koomi AI turns support conversations into product evidence
Multica · KOOM-142 · Codex · In review
Create a Koomi AI site and receive a site ID plus signing secret.
Install the snippet in the product, documentation, and account areas.
Call identify after login to connect the conversation to a verified account.
Choose the approved fields that support and product workflows may use.
Review the customer reply before sending...
Works with Multica
Koomi AI moves accepted feedback into an agent-ready issue
Koomi AI connects to your Multica workspace. Multica assigns the issue to a supported coding agent and reports progress or blockers to the team.
The agent receives the problem, evidence, technical boundaries, and testable outcome. Only customer fields approved for the workflow are included.
Clear issue creation
Koomi AI prepares a concise Multica issue with linked evidence and acceptance criteria, while preserving the original support conversation for authorized teammates.
Agent choice stays yours
Use the coding agents configured in your Multica workspace. Koomi AI does not lock the product team into one model, editor, or implementation environment.
Progress stays visible
Support and product can see whether the issue is assigned, being implemented, blocked, or waiting for review without treating agent activity as proof that the change shipped.
Koomi AI feedback loop
LiveValidated signal
Export workflow · 14 accounts
7 paid teamsreproduciblehigh impact
Build and review
user.idusr_2481
account.plan7 paid teams
rolereproducible
lifecyclehigh impact
Structured Multica issue
Koomi AI moves accepted feedback into an agent-ready issue
Agent assignment
Visible progress and blockers
Human review gate
Review the customer reply before sending...
Review, ship, and learn
Koomi AI keeps human judgment at the release boundary
Koomi AI follows the agent-built pull request, but it becomes a product update only after your team reviews, tests, approves, and releases it.
After human review and shipping, Koomi AI reconnects the update to affected conversations so support can follow up and verify the result.
Review before release
Inspect the pull request, agent notes, tests, and acceptance criteria through the established engineering process before anyone approves the change.
Close the customer loop
Once the update is live, Koomi AI identifies the linked customers and gives support the context needed for a precise, personal follow-up.
Learn from new evidence
Future conversations show whether the update removed the original friction, created a new edge case, or needs another small iteration through the loop.
Koomi AI feedback loop
LiveValidated signal
Export workflow · 14 accounts
7 paid teamsreproduciblehigh impact
Feedback validated
Koomi AI keeps human judgment at the release boundary
Structured Multica issueAgent assignmentVisible progress and blockersHuman review gate
Yes. I reproduced the issue, linked the affected accounts, and drafted clear acceptance criteria for product review.
Koomi AI grouped the related conversations and created Multica issue KOOM-142. Codex returned a pull request that is waiting for human review.
Resolve the immediate issue
Validate recurring feedback
Define the product outcome
Review the customer reply before sending...
How teams use it
Koomi AI makes Loop Engineering a system that can learn
Traditional support tools optimize for closing a ticket. Koomi AI preserves what it teaches product, creating a reviewable path from customer context to feedback, implementation, release, and learning.
For support teams
Resolve issues with account context and Koomi Assist, then connect repeated feedback to product work without copying conversations between disconnected systems.
For product teams
See the evidence, customer impact, reproduction steps, and acceptance criteria before deciding that a request belongs on the roadmap.
For engineering teams
Receive better-scoped issues through Multica, choose the coding agent, and keep pull requests behind the same review and release standards used for human-written code.
For founders
Use Koomi AI to keep a small team close to customers while turning the strongest product signals into controlled, reviewable implementation work.
Close the loop between customer support and product engineering
Create a Koomi AI workspace, connect customer context, and turn validated feedback into reviewed product updates through your Multica workflow.