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Decagon vs Fin
A plain-English comparison to help you choose between them.
A platform purchase against a layer you switch on. Decagon is bought as its own system, enterprise agents on chat and voice with testing and monitoring tooling, quote-only and scoped through sales; Fin layers over the helpdesk you already run, grounds in your help content, and prices by outcome, with a published average resolution rate of 76 per cent that should still be tested on your own volume. One caution from the record: Salesforce has agreed to acquire Fin's company, with Fin expected to fold into its Agentforce line. Pick Decagon when support AI is an infrastructure decision; pick Fin when layering outcome-priced resolution over the existing stack is the faster path.
Side by side
- Summary
Decagon builds enterprise AI agents for customer support, described on its own site as the AI concierge for every customer: agents that hold real conversations across chat and voice, resolve what they can end to end, and hand the rest to humans with context.
- Best for
- Enterprise support agents across chat and voice
- End-to-end resolution with human handoff and context
- Large support operations adopting AI-native platforms
- Cost
- Enterprise
- Ease
- Openness
- Hosted service
- Data
- It works inside your support stack and customer conversations, so data-handling, retention and sub-processor terms belong in the contract negotiation, not a settings page after rollout.
- Summary
Fin, formerly Intercom, is an autonomous support agent that resolves customer conversations end to end: grounded in your help content, working across chat and email, and priced by outcome rather than seat, so you pay per resolution it actually completes.
- Best for
- Autonomous end-to-end resolution of routine conversations
- Outcome pricing: pay per resolution, not per seat
- Layering over an existing helpdesk without migration
- Cost
- Paid only
- Ease
- Openness
- Hosted service
- Data
- Fin answers from your help content and past conversations under Fin's commercial terms. One strategic note: Salesforce has agreed to acquire the company, with Fin expected to fold into its Agentforce line, which is worth weighing in any long-term platform decision.
Pricing
- Decagon
- No published price
- Fin
Custom·Custom
Prices as of August 2026.
- Fin with your current helpdesk
- Price on application
- Fin with the Intercom helpdesk
- Price on application
By area
Where each one pulls ahead, area by area.
| Area | Decagon | Fin |
|---|---|---|
| Customer support & chatbots | Decagon is a sales-scoped enterprise platform bought as infrastructure | layering outcome-priced AI over the helpdesk you already run is the faster path |
Common questions
What does outcome pricing change about the comparison?
It moves the risk. Fin charges per resolved conversation, so a failed answer costs nothing and success scales the bill with value delivered. Decagon's quote-scoped platform pricing is a negotiated commitment. Modelling your volume against both shapes tells you which bill you would rather carry.
Does the pending Salesforce acquisition matter here?
For long-term planning, yes. The catalogue's own record, verified in August 2026, notes Salesforce has agreed to acquire the company with Fin expected to fold into the Agentforce line. Roadmap and contract questions belong in any multi-year decision, and sales teams should answer them directly.
Which is the bigger implementation lift?
Decagon, by design: a platform bought as infrastructure brings integration and knowledge work before value shows. Fin's pitch is speed, layering on the helpdesk and help centre you already maintain. The trade is depth of ownership against time to first resolution, which is the real axis of this page.
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Tool facts last checked August 2026