B2BProduct agent for product and engineering leads

Churn-Risk Bug Watch

Fix the bugs hitting the customers you can't afford to lose.

This agent reads every conversation for bugs, from support tickets and bot chats to sales and CS calls, and checks each one against your CRM, usage and billing data. It gives product and engineering the visibility into what bugs are impacting accounts with upcoming renewals, ranked by severity and revenue, with quotes as supporting evidence.

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The problem

The bug in your backlog is about to cost you a customer.

47%

of tech leaders say customers are often or very often the first to detect outages and service problems.

81% name losing customers as a consequence of downtime.

Source: Splunk and Oxford Economics, The Hidden Costs of Downtime 2026 (2,000 executives at Global 2000 companies, May 2026)
How it works

The bugs that matter, ranked by revenue impact

Three steps. It reads every conversation for bugs, matches each one to the customers it's affecting, and sends product and engineering a ranked list every week.

Ingest

Bugs customers raise in tickets, chats and calls, next to the revenue they touch

Help desk
Bot chats
Sales + CS calls
CRM
Usage + billing
Anything else
Rippit

Analyze

Bugs ranked by the ARR they’re hitting

One row per bugAgent adding fields…
BugAccounts hitWhy
Exports time out14 accountsTwo admins mentioned other tools
SSO login loop9 accountsBlocks every user at sign-in
Dashboards load slowly31 accountsAnnoying, but there's a workaround
6 high-risk bugs · $1.4M renewing in 90 days

Act

Engineering fixes what’s at stake first

Weekly bug listProduct and engineering, by email

6 high-risk bugs, $1.4M renewing, each with repro steps and conversations.

List sent
Team alertsAccount owners, in Slack

14 account owners alerted that export errors are hitting their renewals.

Alerts sent
+ Any connected MCP

Open a Linear issue for each high-risk bug with the evidence attached, or a Jira ticket through a custom MCP connection.

See MCP connections →
FAQ

Questions

What sources can it use?

Help desk tickets and chats, your AI agent’s conversations, sales and CS calls and internal Slack through Rippit’s integrations. CRM, usage and billing come through your warehouse, the Ingest API or a CSV. See integrations →

How does it know it's a bug?

It reads each conversation in full and looks for descriptions of something broken, like an error, a failed action or a feature that stopped working, then groups conversations about the same problem. How-to questions and feature requests are kept separate.

How is churn risk scored?

Based on the accounts the bug is hitting: how soon they renew, their ARR, and whether anyone mentions leaving or looking at other tools. You can weight these to match how your business works.

Will it file tickets for engineering?

If you want it to. It creates Linear issues for each high-risk bug, with the conversations and repro steps attached, or comments on an existing one. Jira works through a custom MCP connection.

Where do the results go?

The bug list goes to product and engineering by email or Slack, and issues go to Linear or any tool you connect through MCP. It runs weekly by default, or daily or hourly. See MCP connections →

Know which bug to fix before the next renewal call.

Connect your conversations, CRM and billing data, and get your first bug list ranked by revenue at risk.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

Set me up with rippit.com
Try Rippit free
or request demo