Intercom · Tools

Fin

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At a glance

Price
from 0.99 $/mo
Vendor
Intercom

Specifications & properties

Key decision factors

Pricing model
Paid 1
Agent type
  • Customer service agent
1
Autonomy level
Semi-autonomous 1

Pricing

Price from
0.99 $/mo 1
Free tier
No 1
Billing model
Per task 1

Integration

API available
Yes 1

Compliance

SOC 2
Yes 1
Report data / suggest a correction

Metrics vs. the category

Integrations count
n/a

Intercom's AI customer service agent that resolves support conversations across chat, email, voice, and social channels, priced per resolved outcome.

Profile

Fin is Intercom's AI customer-service agent that resolves support conversations on its own — answering from your help center and past tickets, taking actions, and handing off to a human only when needed — built for support and CX teams at companies of any size that want to cut ticket volume without losing quality.

Who it's for

Fin fits customer-support organizations that already run (or are willing to run) a modern helpdesk and want an agent that resolves real tickets, not just a FAQ widget. It's used by everything from scaling SaaS startups to large support teams handling thousands of monthly conversations. Because Fin bills per resolved conversation rather than per seat, it particularly suits teams that want costs to track outcomes: you pay for tickets it actually closes, not for the agent sitting idle. Teams wanting a fully free, unlimited chatbot should look elsewhere, since Fin has no free tier.

How it works

Fin reads your knowledge base, macros and historical tickets, then answers customer questions in natural language and can take actions — looking up an order, updating a record, triggering a workflow — through connected apps and APIs. It runs semi-autonomously: it resolves what it's confident about and escalates ambiguous or sensitive cases to a human agent, keeping a person in the loop for the conversations that need judgment. Fin is native to Intercom's helpdesk but is also available "over API," so teams running Zendesk, Salesforce or a custom support stack can plug Fin's resolution engine into their existing tools rather than migrating their whole helpdesk.

Pricing

Fin uses outcome-based pricing: you pay roughly $0.99 per resolution, meaning you're billed only for conversations Fin actually resolves rather than for every message or seat. There is no free tier. This model rewards a well-maintained knowledge base — cleaner content means more resolutions and a more predictable bill — but always check Intercom's current pricing page, since resolution pricing and any bundled plans can change.

Strengths and trade-offs

Fin's biggest strength is that its pricing is tied directly to value delivered, which is unusually transparent for AI support tools, and it is SOC 2 audited with an API for teams that don't want to fully adopt Intercom. The semi-autonomous escalation model helps avoid the classic AI-support failure mode of confidently answering wrong. The trade-offs: there's no free tier to test cheaply, per-resolution costs can add up at very high volume, and Intercom doesn't publish a dedicated EU-hosting region, so organizations with strict data-residency requirements should verify hosting details before committing. For support teams focused on measurable deflection with a human safety net, Fin is one of the most established options on the market.

Frequently asked questions

How much does Fin cost?

Fin is priced per resolution at roughly $0.99 per conversation it successfully resolves, rather than per seat or per message. There is no free tier, so cost scales directly with support volume and resolution rate; check Intercom's pricing page for current figures and any bundled plans.

Can I self-host Fin?

No. Fin is delivered as a managed cloud service within Intercom (or via its API for other helpdesks); there is no self-hosted or on-premises deployment option.

Does Fin work fully autonomously, or is a human involved?

Fin is semi-autonomous: it resolves conversations it's confident about using your knowledge base and connected actions, and hands off ambiguous or sensitive cases to a human support agent rather than guessing.

Fin vs Decagon: which should I choose?

Both are AI customer-service agents aimed at deflecting support volume. Fin has the advantage of deep native integration with Intercom's helpdesk plus transparent per-resolution pricing (~$0.99), while Decagon is helpdesk-agnostic and enterprise-focused, typically sold on custom contract terms. If you're already on Intercom or want published self-serve pricing, Fin is the simpler start; if you need a bespoke enterprise deployment across a non-Intercom stack, evaluate Decagon too.

Does Fin offer an API, and is it GDPR-compliant?

Yes, Fin is available over API so it can be connected to helpdesks other than Intercom. Intercom is SOC 2 audited and provides a GDPR Data Processing Agreement and Standard Contractual Clauses for international transfers, but does not publish a dedicated EU-only hosting region, so confirm current data-residency options if that's a hard requirement.