Connect to IntercomMonitor Intercom Fin AI Response Quality
Fin AI can deflect a significant portion of your inbound volume. But every AI response that misses the mark is a customer who got a bad experience from your brand. Monitoring Fin quality is not optional — it is how you know whether deflection is working or just hiding problems.
The manual monitoring approach
- 1Periodically review Fin AI transcripts in Intercom.
- 2Sample conversations for quality assessment.
- 3Update content sources or conversation routing based on findings.
The problem: Sampling is inherently incomplete. You find the problems you happen to look for. Systematic issues go undetected until they accumulate into a CSAT trend.
With Supportman
Supportman surfaces Fin-handled conversations that ended with a low CSAT rating or were escalated to a human — the clearest signals that Fin quality needs attention.
- Configure Supportman to flag Fin conversations with low ratings.
- Flagged conversations appear in Slack with the transcript link.
- Quality review is driven by signal, not random sampling.
Can Supportman tell me what percentage of Fin conversations result in escalation?
Escalation rate from Fin is tracked in Intercom's Fin analytics. Supportman surfaces the individual escalation events in Slack; the aggregate rate lives in Intercom.
What is a healthy Fin escalation rate?
Most teams aim for Fin to resolve 40–60% of eligible conversations without escalation. Escalation rates above 60% usually indicate gaps in Fin's knowledge sources.