Intercom Fin Cost: Pricing per 1,000 Resolutions
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Intercom Fin Cost per 1,000 Resolutions

By Paige Gilmore, Founder, NetLift· Published July 28, 2026· Updated July 28, 2026

At a rate of $0.99 per resolution, the cost for 1,000 resolutions using Intercom Fin is $990.

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Intercom Fin costs $990 for 1,000 resolutions. This is calculated using the official standalone rate of $0.99 per outcome, which allows organizations to deploy the AI agent alongside their existing helpdesk software.

This pricing model is strictly outcome-based, meaning you pay for successful resolutions rather than per seat. A minimum monthly commitment applies, typically starting at 50 outcomes per month.

Verified pricing (official source)

Plan / rate Verified price Unit Notes
Fin AI Agent — Standalone (Use with existing helpdesk) $0.99 other Price per outcome. No seats required. Minimum monthly commitment applies (e.g. 50 outcomes). No setup or platf

Every price above was retrieved from the official vendor page. Plans without a published number are shown exactly as the vendor states them — never estimated.

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How does outcome-based pricing affect the budget?

Intercom bills for the Fin AI Agent based on performance rather than a flat monthly license per user. Because no seats are required for the standalone version, your costs scale directly with customer demand. This allows procurement to treat the AI agent as a variable expense that correlates with support volume.

What are the minimum commitment requirements?

While there are no setup or platform fees for the standalone agent, buyers must agree to a minimum monthly commitment. The current minimum is approximately 50 outcomes per month. This ensures a predictable baseline for the vendor while keeping the entry point low for departments testing AI adoption.

To determine if a $990 spend per 1,000 resolutions delivers a net return, you must compare it against the fully burdened cost of a human agent handling the same volume. NetLift integrates with your service data to measure the specific time saved and verify if the shift from seat-based to outcome-based pricing actually lowers your total cost of ownership.

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Sources

All pricing on this page comes from official vendor pages:

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About the author

Paige Gilmore · Founder, NetLift

Paige Gilmore is the founder of NetLift, the AI Value Management platform that helps organisations measure the cost, savings and return of AI adoption.

Paige Gilmore on LinkedIn

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