AI Tool
Fin pricing, features, company info, and alternatives
A factual product page for Fin as Intercom's AI customer service agent.
Pricing
Current public pricing tiers on file for Fin, last verified Apr 11, 2026.
Fin AI Agent
$0.99 / outcome
Intercom pricing combines a per-seat helpdesk fee with a per-outcome Fin charge.
Core Features
The main capabilities that shape how people use Fin today.
Fin resolves customer questions across support channels and helps hand off to humans when needed.
Procedures and data connectors let Fin handle more complex, multi-step requests.
Fin can be deployed with Intercom or connected to existing helpdesks.
The product is designed around a unified customer record and shared customer service workflows.
Best Fit
Who Fin is most clearly built for.
Support teams that want an AI agent instead of a generic chatbot.
Organizations needing customer-service automation across multiple channels.
Companies using Intercom or another helpdesk already.
Platforms
Where you can use Fin today.
Web
Chat
Phone
Messenger
Integrations
Notable connected tools and ecosystem hooks for Fin.
Zendesk
Salesforce
HubSpot
Jira
Stripe
APIs
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Fin.
Fin is part of Intercom's customer service suite and inherits its helpdesk and data controls.
Product Snapshot
Fin is Intercom’s AI agent for customer support. It is built to resolve customer questions across channels and hand off to humans when a request needs escalation.
What You Can Do With It
- Deploy an AI support agent across chat, email, and other customer-service surfaces.
- Build Fin Procedures for repeatable, multi-step support workflows.
- Connect external data sources so the agent can answer with current business context.
- Run Fin inside Intercom or alongside existing helpdesk systems.
Why It Stands Out
Fin is a support product first, not a generic assistant. That focus makes it more compelling for teams that want automated resolution instead of a general-purpose chatbot.
Tradeoffs To Know
- It is most useful for customer service teams, not general knowledge work.
- Pricing is outcome-based, so cost planning depends on support volume.
- You get the best results when knowledge bases and workflows are well maintained.