Conversational AI & Chatbots
Intercom Fin
AI support agent that resolves tickets end to end
Paid - from $0.99 per resolutionRuns in the cloud
Pricing
Paid - from $0.99 per resolution
$0.99 per resolution
Platforms
Web
Hosted app
Category
Conversational AI & Chatbots
71 tools
Reviews
0
No verified reviews yet
Last updated
Sep 23
Listing updated
Best for
Resolve tier-1 tickets automatically
Point Fin at your help center and let it answer routine questions around the clock, escalating only what needs a human.
Pricing checked Sep 2026
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About Intercom Fin
Fin is Intercom's AI support agent. It answers customer questions from your existing help center content, can take actions in backend systems through Model Context Protocol tools such as issuing refunds or changing subscriptions, and hands off to human agents with the full conversation and a summary attached.
Pricing is per resolution at $0.99, so cost tracks problems actually solved rather than seats occupied. Fin works inside Intercom's Messenger and helpdesk, draws knowledge from your current articles, and reports which conversations it resolved versus escalated.
It suits SaaS support teams with a solid knowledge base and steady ticket volume. Accuracy is capped by documentation quality, wrong resolutions still cost money, monitoring is part of the job, and meaningful value assumes committing to the Intercom platform itself.
- $0.99 per resolution aligns cost with problems actually solved
- Takes backend actions via MCP, not just canned replies
- Human handoffs arrive with transcript and summary
- Starts from help center content you already have
- Accuracy is capped by your documentation quality
- Per-resolution fees add up at high ticket volumes
- Full value assumes committing to the Intercom platform
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See categoryAssistants and answer engines built on large language models: general-purpose chat, research copilots with inline citations, and customer-support agents that resolve tickets end to end. Every listing documents model access, context limits, API availability, and pricing so you can match the tool to the workload instead of the hype.