Decagon vs Sierra vs Intercom Fin: which enterprise support agent fits your team?
All three are AI agents that resolve customer support conversations, but they sell very differently. Decagon and Sierra are both enterprise-only, custom-quote products with no public pricing — expect a sales process and a contract that typically starts in the six figures per year. Intercom Fin is the exception: it publishes an actual rate, $0.99 per resolved conversation, on top of its regular per-seat helpdesk pricing. That makes Fin the easiest of the three to estimate before you ever talk to sales, though at high volume the per-resolution model can outpace what a flat enterprise contract would have cost.
 |  | ||
|---|---|---|---|
| What it does | Generative support agents for high-volume brands | Enterprise agents that resolve customer issues | Support agent that closes tickets on your helpdesk |
| Pricing | Custom enterprise (per-conversation or per-resolution, contracts reportedly start ~$95K/year) | Custom enterprise (outcome-based, contracts typically $150K-$500K+/year) | $0.99 per resolution, plus per-seat plans from $39/seat/month |
| Open source | No | No | No |
| Self-hostable | No | No | No |
| Best for | Large consumer brands that want a support-only AI layer with natural-language workflow configuration | Enterprises that want outcome-based pricing and are prepared for a 3-7 month implementation | Teams already on or open to Intercom's helpdesk who want a published, calculable AI add-on rate |
| Upvotes | 4 | 4 | 4 |
The verdict
Decagon sells itself as an AI concierge layer that sits above your existing helpdesk, configured in plain language rather than a flow builder. There's no public pricing — third-party estimates put enterprise contracts starting around $95,000 a year, and you'll need a sales conversation to get a real number. It's built for large support organizations already running high chat and email volume, not a first AI tool for a small team.
Sierra is the most expensive of the three to start a conversation about, with reported contracts commonly landing between $150,000 and $500,000+ a year, priced on a per-resolution outcome basis. It doesn't include a helpdesk, so you'll run it alongside Zendesk, Salesforce or similar, adding to total cost. Sierra fits large brands with the budget and implementation runway (often 3-7 months) to justify a dedicated outcome-priced layer.
Fin is the one product here with an actual published price: $0.99 per resolved conversation, stacked on top of Intercom's per-seat plans starting at $39/seat/month. That makes it realistically the only one of the three you can estimate without a sales call. The tradeoff is that the bill scales directly with how well Fin performs — better resolution rates mean a bigger invoice, which some teams find counterintuitive to budget around.
Frequently asked questions
Which is cheapest, Decagon, Sierra, or Intercom Fin?
At low-to-mid support volume, Intercom Fin is usually the cheapest and most predictable, since it has a published $0.99-per-resolution rate instead of a negotiated enterprise contract. Decagon and Sierra don't publish pricing, but third-party reporting puts Decagon's contracts starting lower (~$95K/year) than Sierra's (~$150K-$500K+/year). At very high resolution volume, Fin's per-conversation model can end up costing more than a flat enterprise contract.
Do any of these include a helpdesk?
Intercom Fin is bundled with Intercom's own helpdesk (Messenger, shared inbox, ticketing). Sierra does not include a helpdesk at all — it runs as an AI layer on top of a separate platform like Zendesk or Salesforce. Decagon is similar to Sierra: it's a support-AI layer, not a full helpdesk replacement.
Is Intercom Fin still owned by Intercom?
As of mid-2026, Intercom (rebranded to Fin) has a signed agreement to be acquired by Salesforce, with the AI agent expected to fold into Salesforce's Agentforce platform. The deal was announced in June 2026 and is expected to close later in Salesforce's fiscal year — worth checking current status before signing a long-term contract.