Lesson 1286 of 2116
AI Customer Support Platforms 2026: Intercom Fin, Decagon, Sierra, Ada
How to evaluate AI support agents on resolution rate, escalation behavior, and unit economics.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2AI-support
- 3Intercom-Fin
- 4Decagon
Concept cluster
Terms to connect while reading
Section 1
The premise
AI support vendors quote resolution rates that mean different things — normalize the metric before comparing.
What AI does well here
- Resolve clearly answerable tier-1 tickets autonomously
- Hand off cleanly with the conversation history intact
- Pull from your knowledge base with attribution
- Adapt tone to your brand voice
What AI cannot do
- Handle accounts/billing actions without secure write access
- Detect novel issues that require human judgment
- Fix root causes — they reduce ticket volume, not bug count
Key terms in this lesson
End-of-lesson quiz
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