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Sierra vs Fin
A plain-English comparison to help you choose between them.
Both platforms measure themselves on resolutions completed rather than conversations deflected, so this is a decision about shape. Pick Sierra when a large support operation wants one governed agent owning resolution across chat, voice and messaging channels, bought through a sales conversation and priced by outcome. Pick Fin when support already runs on Intercom or another helpdesk and an agent layered over it, paying per resolution, is the faster path. Sierra is a platform decision; Fin is an addition to the stack you have.
Side by side
- Summary
Sierra is an enterprise AI agent platform for customer service, founded by Bret Taylor and Clay Bavor.
- Best for
- Resolving customer conversations end to end across chat and voice
- One governed agent deployed across chat, SMS, WhatsApp, email, voice and ChatGPT
- Building production agents from plain-English descriptions with Ghostwriter
- Enterprise support operations with serious conversation volume
- Paying for resolutions delivered rather than seats
- Less suited to
There is no trial-and-buy door: pricing is outcome-based and sales-led with no public rate card, so smaller teams and anyone wanting to trial a bot this afternoon are outside the shape. Cost scales with resolution volume rather than seats, which means budgeting starts with a resolution forecast, and the bill grows as the agent succeeds.
Deployments reportedly handle regulated interactions such as insurance claims and financial services conversations. AI agent outputs in regulated industries need human oversight and audit trails, automated customer decisions may trigger consumer-protection and disclosure obligations, and the platform does not substitute for compliance review of agent behaviour.
- Cost
- Enterprise
- Ease
- Intermediate
- Openness
- Hosted service
- Data
- Customer conversations and connected customer records flow through a closed platform. The Agent Data Platform holds agent memory and integrations into your customer systems, so procurement should treat it as a core data processor. Deployments reportedly handle regulated interactions such as insurance claims and financial services conversations, where AI agent outputs need human oversight and audit trails, automated customer decisions may trigger consumer-protection and disclosure obligations, and the platform does not substitute for compliance review of agent behaviour.
- 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
- Escalation to humans with full context attached
- Mining unresolved cases for missing help content
- Less suited to
Outcome pricing defies flat-rate budgeting: costs scale with volume resolved, and forecasting takes modelling rather than a price list. Realistic resolution sits well under half of conversations for most teams, so humans remain the majority channel.
Answer quality also rides entirely on help-content quality: thin documentation produces a confidently unhelpful agent.
- Cost
- Paid only
- Ease
- Intermediate
- 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.
By area
Where each one pulls ahead, area by area.
| Area | Pick Sierra when | Pick Fin when |
|---|---|---|
| Customer support | Sierra is the standalone agent platform built to own resolution across chat and voice under brand-level governance and testing | support already runs on Intercom and an AI agent layered into the existing helpdesk is the faster path |
| Customer support & chatbots | Sierra measures itself on conversations completed rather than deflected and carries the same governed agent into phone-based voice | the requirement stops at chat inside the Intercom suite you already run |
Common questions
Can a smaller team trial either platform easily?
Fin is the more approachable buy: it is a paid product that layers over an existing helpdesk without migration, though outcome pricing means costs scale with volume resolved and forecasting takes modelling rather than a price list. Sierra is strictly enterprise: sales-led, outcome-based, with no public rate card, so smaller teams wanting to trial a bot this afternoon are outside its shape.
Which support channels does each agent cover?
Sierra deploys one governed agent across chat, voice, SMS, WhatsApp, email and a ChatGPT channel, and carrying the same agent into phone-based voice is a large part of its pitch. Fin works across chat and email, grounded in your help content. If telephone support must be part of the AI programme, that difference alone may decide the shortlist.
How much of our support volume will these agents resolve?
Fin's own operating loop assumes it resolves well under half of volume for most teams, with humans remaining the majority channel and unresolved cases mined for content gaps. Fin's answer quality rides on your help content, and Sierra builds agents from your procedures and transcripts. Where deployments touch regulated interactions such as insurance or financial services, human oversight and audit trails remain necessary.
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Tool facts last checked July 2026