# Intercom Fin — Intercom’s customer-service AI agent, resolves tickets omnichannel over any helpdesk, billed per resolution.

> Source: The Agents Index — https://theagentsindex.com/intercom-fin (structured, researched, re-verified)
> Facts last verified: 2026-07-23

Fin is Intercom’s customer-service AI agent, a customer-facing agent that resolves support conversations autonomously across an omnichannel front end. Built by Intercom and now hosted at fin.ai, it can run on Intercom’s own helpdesk or on top of a third-party one such as Zendesk, Salesforce, HubSpot or Freshdesk, which Intercom says can be connected in under an hour. It runs on Intercom’s proprietary Apex models and is one of the most widely deployed AI support agents on the market. On 2026-06-15, Salesforce signed a definitive agreement to acquire Intercom/Fin for approximately $3.6 billion, expected to close around Salesforce’s fiscal Q4 2027 pending regulatory approval; Intercom’s leadership is staying on and says the deal will "complement" Salesforce’s own Agentforce platform, though neither company has yet detailed what changes for customers running Fin over a non-Salesforce helpdesk once it closes.

| Fact | Value |
| --- | --- |
| Website | https://www.intercom.com/fin |
| API | Yes |
| Best for | Support teams — from mid-market to enterprise — that want an AI agent layered over their existing helpdesk with pay-per-resolution economics. |
| Not for | Small teams needing a predictable flat monthly bill, anyone uncomfortable paying for “assumed” resolutions, or buyers who need certainty about an independent roadmap while the pending Salesforce acquisition plays out. |

## Verdict

Fin is the most broadly deployed AI support agent, and its two big advantages are reach and speed: it runs omnichannel (chat, email, voice, social) and can sit on top of virtually any helpdesk, Zendesk, Salesforce, Freshdesk, with Intercom claiming setup in under an hour, backed by a documented API and MCP. Its outcome-style $0.99-per-resolution pricing is genuinely appealing when the agent does the work. The honest caveats are about that meter: Intercom’s 76% headline resolution rate is a best case, with independent analyses of case studies often landing nearer 40-50%, and billing counts “assumed” resolutions when a customer merely stops replying, so costs can be unpredictable and occasionally reward non-resolutions. One more factor to weigh: Salesforce signed a definitive agreement in June 2026 to acquire Intercom/Fin for roughly $3.6B, expected to close around Salesforce’s fiscal Q4 2027, leadership says little changes day-to-day for now, but buyers running Fin over a non-Salesforce helpdesk should watch for roadmap or pricing shifts once the deal closes. Pick Fin if you want a capable agent over your existing stack and can model per-resolution economics (and the pending acquisition); skip it if you need a flat, predictable bill or object to paying for soft resolutions.

## Strengths and weaknesses

- ✓ Per-resolution billing aligns cost with outcomes, with a 14-day no-card free trial and unlimited outcomes during it.
- ✓ Layers onto any major helpdesk quickly (Intercom claims under an hour), is omnichannel including voice, and is extensible via API and MCP.
- ✗ Fin bills for “assumed” resolutions when a customer simply stops replying, but a customer leaving is not the same as being helped, so you can pay for non-resolutions.
- ✗ Per-resolution cost is hard to budget and rises with volume; Fin-on-Intercom adds $29/seat/month on top, and reported resolution rates vary widely (Intercom’s 76% headline vs. ~40-50% in many real deployments).
- ✗ Salesforce signed a definitive agreement (2026-06-15) to acquire Intercom/Fin for ~$3.6B, expected to close around Salesforce’s fiscal Q4 2027, leadership says day-to-day little changes for now, but neither company has published what happens to pricing, the API, or support for customers running Fin on a non-Salesforce helpdesk once the deal closes.
- ⚠ What counts as a billable “resolution” includes soft outcomes (customer stops replying), which can inflate spend relative to true resolutions.
- ⚠ Real-world resolution rates depend heavily on your help content and setup, and typically trail the marketed averages.

## Key features

- **Autonomous resolution** — Resolves conversations end to end using your help content, past tickets and connected data, taking actions where configured.
- **Runs over any helpdesk** — Works natively in Intercom or on top of Zendesk, Salesforce, HubSpot or Freshdesk, Intercom claims setup in under an hour.
- **Omnichannel** — One agent across chat, email, phone/voice, Slack and social, with human handoff on complex cases.
- **API, connectors & MCP** — A fully documented API plus data connectors and Model Context Protocol support for deeper integration.

## Use cases

- **Front-line deflection over an existing stack** — A team keeps Zendesk or Salesforce as its system of record while Fin resolves the bulk of inbound tickets first.
- **Voice + chat support** — Fin handles both voice (via Apex Flash) and chat, escalating to agents with full context when it can’t resolve.

## Integrations

Helpdesks — Intercom (native), Zendesk, Salesforce, HubSpot, Freshdesk · Fully documented API & data connectors · MCP (Model Context Protocol) · Channels — voice, Slack, social

## Sources

- https://fin.ai/pricing/
- https://www.gleap.io/blog/intercom-fin-ai-pricing-2026
- https://www.intercom.com/blog/salesforce-signs-definitive-agreement-to-acquire-fin/
- https://www.salesforceben.com/salesforce-acquires-fin-formerly-intercom-adding-30k-ai-customers/