B2BCustomer experience agent for AI agent owners

Bot Outcome Check

Your bot won't tell on itself. This agent will.

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.

Paste in your AI agent

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

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The problem

Your resolution rate is the bot grading its own homework.

61%

of consumers are more frustrated when a bot can’t resolve their issue than when a person can’t.

Source: Cyara survey of 1,000 U.S. consumers (November 2025)
How it works

From “resolved” to what really happened, by topic

Three steps. It reads every bot chat and every follow-up across channels, with no sampling, and every match links back to both conversations.

Ingest

Every chat your bot marked resolved

Bot chats
In-app chats
Support
Shared Slack
Knowledge base
Anything else
Rippit

Analyze

Which chats were actually resolved, and which came back

One row per “resolved” bot chatAgent adding fields…
Bot chatCame backTopic
“How do I set up SSO?”Email ticketSSO setup
“Can you raise our API limit?”Slack channelAPI limits
“Add a teammate”Didn't come backPermissions
718 “resolved” chats came back this week · 4 articles missing

Act

The missing articles, drafted before the next repeat

Bot outcome reportSlack · AI agent owner

718 of 6,420 “resolved” chats came back within 72 hours. Top topics: SSO setup, API limits, invoices.

Report posted
Draft help articlesNotion or Google Docs

4 articles drafted for review, like “Set up SSO for your team.”

Ready for review
+ Any connected MCP

Open a Jira or Linear ticket for the content team, or post the report and drafts anywhere else you connect.

See MCP connections →
FAQ

Questions

What sources can it use?

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 Ingest API or a CSV. See integrations →

Where do the results go?

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. See MCP connections →

Can I change the time window and schedule?

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.

How does it know it's the same customer and the same issue?

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.

Will it publish articles on its own?

No. It drafts the missing or outdated articles and leaves them for your team to review and publish.

Find out what your bot really resolved.

Connect your bot chats, support channels and knowledge base, set the window, and get your first topic breakdown, with the missing articles drafted.

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