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Supportman
AI Quality

Track Fin AI Escalations in Intercom

Every Fin escalation is a data point. It tells you that a customer's issue was outside Fin's current capability. The pattern of escalations tells you where to invest in Fin content next.

— Use case —

The manual review approach

  1. 1Export Fin escalation data from Intercom analytics.
  2. 2Categorize escalation reasons manually.
  3. 3Prioritize content improvements based on frequency.

The problem: Manual categorization of escalation reasons requires reading transcripts, which is time-consuming and inconsistent.

— With Supportman —

With Supportman

Supportman does not post a separate escalation alert today — escalation trends live in Intercom Fin analytics. What Supportman does deliver is real-time CSAT on Fin-handled conversations in Slack, so low-rated Fin threads surface immediately for review.

  1. Connect Supportman to Intercom and Slack (OAuth, two clicks).
  2. Every CSAT rating on a Fin conversation posts to Slack with the conversation link.
  3. Team leads tag escalation patterns in the Slack thread while reviewing low-rated Fin conversations.
Quick recap

Escalation rate lives in Intercom — Supportman makes Fin CSAT visible in Slack the moment customers rate, so you catch quality problems on the conversations Fin did handle.

— Common questions —

How do I know if an escalation was because Fin could not answer or because the customer requested a human?

Intercom distinguishes between Fin routing to human (AI escalation) and customer-initiated handoff. That breakdown is in Intercom Fin analytics — Supportman surfaces the CSAT outcome in Slack once the conversation closes.

Can I use escalation patterns to train Fin?

Content improvements to Fin (updating articles, adding Q&A pairs) are done in Intercom. Supportman helps you prioritize which gaps matter by making Fin CSAT ratings visible in Slack as they arrive.

Connect Slack and Intercom – that's the whole setup.