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B2B · Customer experience · For AI agent owners · Also for B2C companies The bot’s dashboard says resolved. Then the same customer files a ticket, emails support or pings your team in a shared Slack channel a couple of days later. This agent checks every “resolved” bot chat against what that customer did next, on every channel, groups the ones that came back by topic, and drafts the missing help articles for your review.

What it reads

Your AI agent’s conversations (Decagon, Ada, Sierra or Intercom Fin), in-app chats, support tickets and the email that comes through your help desk, shared Slack channels Rippit is invited to, and your help articles. Any other bot or source comes in through the Bulk API or a CSV.

How it works

  1. Ingest. Every chat your bot marked resolved.
  2. Analyze. Which ones really were, and which came back.
  3. Act. The missing articles, drafted before the next repeat.

What you get

Repeat-contact topics and drafted help articles.
  • Bot outcome report (Slack · AI agent owner): 718 of 6,420 “resolved” chats came back within 72 hours. Top topics: SSO setup, API limits, invoices.
  • Draft help articles (Notion or Google Docs): 4 articles drafted for review, like “Set up SSO for your team.”
  • Any tool you connect through MCP: Open a Jira or Linear ticket for the content team, or post the report and drafts anywhere else you connect.

Build it

Tell Rippit chat to “set up a check of every resolved bot chat against what the customer did next, with missing help articles drafted,” 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

The AI agent owner gets the report in Slack or email. Draft help articles go to Notion or Google Docs for review. It can also open a Linear issue for the content team, or reach Jira and other tools through a custom MCP connection.
Yes. By default it checks every morning with a 72-hour window. Pick any window, run it hourly, daily or weekly, choose the channels, or run it on demand after a bot update.
It matches on who the customer is across channels, like email, account or workspace, then reads both conversations to confirm they’re about the same problem. A customer who comes back about something new doesn’t count.
No. It drafts the missing or outdated articles and leaves them for your team to review and publish.