Intercom shifts to per-resolution pricing

This pricing shift turns automation from a threat to Intercom’s seat business into a new revenue engine. In the old model, better software could mean fewer support reps and fewer paid seats. With Fin priced per resolved outcome, Intercom gets paid when a team handles the same workload with fewer people, or handles more volume without hiring. That lets revenue rise with customer efficiency, not just with customer headcount.1 2 3

• Intercom’s own framing was that seat pricing and AI bots create tension, because bots can remove conversations from the inbox entirely. The company responded by adding a per resolution charge, first at $1.90 and later at $0.99, while keeping seat tiers for the rest of the support stack.1 2
• The unit economics are concrete. AI resolutions in the category run around $0.99 to $1.50, versus roughly $10 to $15 for a human handled case. If Fin resolves a ticket that never reaches an agent, the buyer saves labor and Intercom still monetizes the transaction.3 4 5
• This also changes competition. AI native vendors like Ada and Netomi now sell support automation around outcome pricing and labor savings, while Intercom bundles the agent with inbox, knowledge base, workflows, and reporting. That gives it two ways to grow, software seats where humans stay involved, and usage revenue where AI takes over.2 4 5

The next step is a support stack where pricing follows resolved work across chat, email, voice, and messaging, not just named users. As automation rates rise, the winners will be the vendors that own both the AI agent and the human workflow around it, because they can keep monetizing whether a ticket is solved by a person, a bot, or a handoff between both.1 3 4 5