I will audit your intercom fin ai chatbot and fix silent failures

Is your Intercom Fin AI actually resolving customer issues or just marking conversations "resolved" because the customer went quiet?

I audit Fin AI-handled support conversations to find the failure patterns that don't show up in your dashboard:

Conversations auto-closed after idle timeout, not actual resolution

Negative-sentiment conversations that got no human escalation

Missed or over-triggered escalation rules

Detect-attribute misconfigurations causing wrong bot behavior

**What you get:**

A written report reviewing a sample of your real conversations, categorized by outcome, with specific examples and concrete configuration fixes not generic best-practice advice.

I've spent months hands-on configuring and QA-testing Intercom/Fin AI setups, including building structured testing frameworks (60+ scenario prompts across multiple categories) and diagnosing exactly this kind of silent-failure pattern in production.

**This is not a general "I'll set up your chatbot" gig.** It's a focused diagnostic for teams who already run Fin AI and want to know what it's actually doing wrong.