Anthropic chose to buy rather than build, deploying Intercom's Fin (powered by Claude) for customer support. Within weeks Fin reached a 50.8% resolution rate, up from 36% at launch, and saved over 1,700 hours of team time in the first month.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Fin handles the bulk of repetitive queries from free users over email and Messenger.
- The team adds content snippets to raise resolution (doubling snippets lifted resolution 5.5% in a week, per source).
- Complex queries go to human agents.
Risks & compliance
- Vendor relationship: Fin runs on Anthropic's models
Editor's notes
- Source page is undated; accessed 2026-10-17.
Tools mentioned & how to build it
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Tools mentioned
- Fin AI Agent (Intercom)
Intercom's customer-service AI agent; the most-documented tool in the casefile.
Build a version yourself
- HubSpot (Breeze agents)
SMB-friendly CRM with Breeze AI agents for prospecting and support. - n8n
Open-source workflow automation with AI agent nodes; self-host or cloud. - Relevance AI
Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.
Sources
“50.8% resolution rate: More than half of all customer queries are now resolved by AI, up from 36% at launch.”Build vs buy: Why Anthropic chose Fin
Grade rationale: Named organization with quantified outcomes on the vendor's customer page. Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
