Numan, a UK digital health company, uses Fin for patient support. Its team first manually reviewed 100% of Fin interactions, then moved to a 5% monthly audit, while maintaining a 90% CSAT, per Intercom.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Fin answers patient support questions.
- Every interaction reviewed manually at first; later a 5% monthly audit.
Risks & compliance
- Incorrect answers to customers; human review and escalation paths needed
- Vendor-published results; not independently audited
- Health information; clinical questions must go to clinicians
Healthcare cases cover operational and commercial workflows. Nothing here is medical advice or a claim about a device's or drug's efficacy.
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
- n8n
Open-source workflow automation with AI agent nodes; self-host or cloud. - HubSpot (Breeze agents)
SMB-friendly CRM with Breeze AI agents for prospecting and support. - Relevance AI
Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.
Sources
“The team began by manually reviewing 100% of Fin interactions to ensure quality, accuracy, and safety.”Numan and Fin
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). 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.
