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Fin vs Salesforce Einstein / Agentforce
A plain-English comparison to help you choose between them.
This comparison has a date on it. Salesforce signed an agreement on 15 June 2026 to acquire Fin, formerly Intercom, and Fin's own announcement says the transaction is expected to close in the fourth quarter of Salesforce's fiscal year 2027. It is agreed, not closed, so anyone choosing between these today is choosing between two products that may end up under one owner, which belongs in the evaluation rather than after it; on present shape they differ sharply, in that Fin is an autonomous agent that layers over your existing helpdesk without a migration and prices by resolution rather than by seat, while Agentforce assumes the Salesforce estate and grounds its agents in data the platform already governs. Pick Fin when you want outcome-priced resolution on the helpdesk you have; pick Agentforce when you are already standardised on Salesforce and want the agent working the record natively.
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Side by side
- 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. It layers over existing helpdesks rather than demanding a migration.
The operating loop is the product: simulate answer quality before customers see it, deploy on routine volume, escalate the rest to humans with full context attached, and mine unresolved questions for the content gaps behind them.
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Fin publishes an average resolution rate of 76 per cent across its customers; definitions of resolution vary across the market, so the honest baseline for staffing and economics is a trial on your own volume rather than any vendor's headline figure.
- 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
- 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.
- Summary
Salesforce's AI, now fronted by the Agentforce brand, is embedded intelligence and autonomous agents across the CRM estate: drafting, summarising and predicting inside Sales and Service Cloud, and agents that resolve service cases and work sales tasks against the customer data the platform already governs.
The architecture is the argument: agents grounded in your Salesforce data, permissions and workflows, with a trust layer between models and customer records. The practical dependency runs deep, with unified customer data effectively required for the strongest results.
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It is bought as part of a Salesforce strategy, not as a tool: value and cost both scale with the estate.
- Best for
- Autonomous service agents resolving cases on governed data
- Sales assistance grounded in the CRM record
- Embedded drafting, summaries and predictions in the flow of work
- Enterprises standardised on the Salesforce estate
- Agent deployments under platform trust controls
- Cost
- Enterprise
- Ease
- Openness
- Hosted service
- Data
- AI runs on your Salesforce data under its enterprise trust layer; Data Cloud is effectively required for the full picture.
Pricing
- Fin
Custom·Custom
Prices as of August 2026.
- Fin with your current helpdesk
- Price on application
- Fin with the Intercom helpdesk
- Price on application
- Salesforce Einstein / Agentforce
Free·$500 once$5/user·$125/user·$150/user·from $550/user
Prices as of August 2026.
- Salesforce Foundations
- Free
- Flex Credits
- $500one-off
- Agentforce User License
- $5per user, per month
- Agentforce add-ons
- $125per user, per month
- Agentforce Industries add-ons
- $150per user, per month
- Agentforce 1 Editions
- from $550per user, per month
By area
Where each one pulls ahead, area by area.
| Area | Fin | Salesforce Einstein / Agentforce |
|---|---|---|
| By job | ||
| Customer support | answer quality is tried against real past conversations before a single customer meets the bot, so the content gaps behind a failed answer surface in a simulation rather than in a live chat | the reply is drafted from the customer's own record and the history of the case rather than from the help content alone, and what the agent is allowed to do with either is set by guardrails an admin defined |
| By task | ||
| Customer support & chatbots | Fin's pending Salesforce acquisition makes its long-term roadmap a fair question to ask before signing anything | Salesforce Einstein / Agentforce makes the first question whether your edition already covers the work, since seat and edition entitlements cover some usage outright while consumption credits bill what falls outside them |
Common questions
Does the pending acquisition make Fin the risky choice?
It makes it a choice with a question attached, which is different. The agreement is signed but not closed, and the expected close is in the fourth quarter of Salesforce's fiscal year 2027, so Fin ships and sells as itself today. What a buyer should price is roadmap and packaging uncertainty after close, the same question anyone asks about an acquired product.
How differently do the two bills behave?
Fundamentally. Fin prices by outcome, so you pay per resolution it actually completes and costs scale with volume resolved, which defies flat-rate budgeting and takes modelling rather than a price list. Agentforce follows enterprise agreements and usage, with seat and edition entitlements covering some work and consumption credits billing the rest, so the arithmetic belongs in procurement.
How should we treat the published resolution rates?
As a ceiling, not a forecast, whichever vendor is quoting. Fin publishes an average resolution rate prominently and positions it above the industry band; Salesforce publishes no equivalent figure for Agentforce. Both depend entirely on ticket mix and content quality, so the only number worth planning staffing and economics around is the one your own conversations produce in a trial.
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Tool facts last checked August 2026