Decagon vs Sierra vs Intercom Fin
Three customer support agents aimed at resolving tickets rather than deflecting them. The difference is mostly where they sit: inside your existing helpdesk, or as the support layer itself.
| 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 | Paid | Paid | Paid |
| Open source | No | No | No |
| Self-hostable | No | No | No |
| Best for | Best for high-volume consumer brands that need generative support across channels. | Best for enterprises that want an agent to resolve issues end to end with strong guardrails. | Best for teams already on Intercom that want resolution inside the helpdesk they use today. |
| Upvotes | 4 | 4 | 4 |
The verdict
Best for high-volume consumer brands that need generative support across channels.
Best for enterprises that want an agent to resolve issues end to end with strong guardrails.
Best for teams already on Intercom that want resolution inside the helpdesk they use today.
Frequently asked questions
Do these replace a helpdesk?
Intercom Fin works inside Intercom. Decagon and Sierra sit alongside your existing stack and connect to it.
How is resolution measured?
All three report on resolved conversations rather than deflection, though the definition and billing model differ.
Which is best for regulated industries?
Sierra and Decagon both emphasise guardrails and controlled responses, which matters most in regulated support.