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B2B · Product · For Product and engineering leads · Also for B2C companies 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.

What it reads

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 Bulk API or a CSV.

How it works

  1. Ingest. Every bug report, next to the revenue it touches.
  2. Analyze. Bugs ranked by the ARR they’re hitting.
  3. Act. Engineering fixes what’s at stake first.

What you get

Bugs hitting upcoming renewals, ranked by severity and revenue, with quotes.
  • Weekly bug list (Product and engineering, by email): 6 high-risk bugs, $1.4M renewing, each with repro steps and conversations.
  • Team alerts (Account owners, in Slack): 14 account owners alerted that export errors are hitting their renewals.
  • Any tool you connect through MCP: Open a Linear issue for each high-risk bug with the evidence attached, or a Jira ticket through a custom MCP connection.

Build it

Tell Rippit chat to “set up a ranked list of the bugs hitting upcoming renewals,” or ask your own AI assistant with Rippit connected. Rippit drafts it as a pipeline, tests it on a sample, and puts it live when you confirm. You can change what it reads, how it scores, who it notifies, and how often it runs at any time.

Questions

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.
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.
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.
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.