Subvolts take Intercom built a 65% resolution AI agent via custom training, not just base models, and pioneered outcome pricing. Oct 5, 2025 - Developers
- Learn how to achieve high AI resolution rates through custom training and optimization, not just relying on base models.
- Business
- Discover Intercom's innovative outcome-based pricing model and how to build effective AI agents for customer service.
This interview details a practical AI implementation with concrete metrics and an innovative pricing model from a significant company.
The Customer Service Revolution: Building Fin, with Eoghan McCabe & Fergal Reid of Intercom
Audio streams from Erik Torenberg, Nathan Labenz. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Eoghan McCabe and Fergal Reid of Intercom join The Cognitive Revolution to discuss building their AI customer service agent, Fin. They achieved a 65% resolution rate through custom model training and optimization, not just base model improvements. Intercom also pioneered outcome-based pricing at $0.99 per resolution.
Intercom created an AI helper for customer service called Fin. It solves customer problems effectively by using special training, not just generic AI. This approach helps businesses save money by paying only when the AI actually solves a problem.
This episode offers insights into practical AI implementation for customer service. It's for businesses and developers looking to build effective AI agents. Intercom's approach of custom training and outcome-based pricing contrasts with the general trend of relying on base model advancements from frontier labs, highlighting a different path to AI product development.
- HostNathan Labenz
- GuestEoghan McCabeIntercom
- GuestFergal ReidIntercom
- Episode Title: The Customer Service Revolution: Building Fin, with Eoghan McCabe & Fergal Reid of Intercom
- Show: The Cognitive Revolution
- Length: 94 minutes
- AI Resolution Rate: 65%
- Pricing Model: $0.99 per resolution
Today Eoghan McCabe and Fergal Reid of Intercom join The Cognitive Revolution to discuss building their AI customer service agent Fin, exploring how they achieved a 65% resolution rate through rigorous optimization and custom model training rather than relying on base model improvements, while pioneering outcome-based pricing at $0.99 per resolution.
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PRODUCED BY:
CHAPTERS:
(00:00) About the Episode
(03:43) Keeping Up With AI
(09:56) Evaluating Models and Evals
(13:04) Incumbents vs. Startups
(18:54) Product Risk and Judgment (Part 1)
(19:00) Sponsors: Linear | AGNTCY
(21:34) Product Risk and Judgment (Part 2)
(23:42) The Klarna Layoff Story (Part 1)
(32:11) Sponsors: Claude | Shopify
(36:13) The Klarna Layoff Story (Part 2)
(36:14) Driving Resolution Rate
(45:00) Intelligence Isn't the Bottleneck
(50:10) Closing the Automation Gap
(56:20) Human vs. AI Accuracy
(01:01:03) The Nuance of Speed
(01:04:48) Considering Paradigm Changes
(01:09:31) Outcome-Based Pricing Model
(01:19:12) Casual Hacking and Insights
(01:26:05) AI Adoption and Ambition
(01:36:00) Outro
- base model
- Eoghan McCabe & Fergal Reid
- The foundational AI system that other AI applications are built upon.
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44 minQuestions people ask
- What resolution rate did Intercom's AI agent achieve?
- Intercom's AI customer service agent, Fin, achieved a 65% resolution rate.
- How did Intercom price their AI service?
- Intercom pioneered outcome-based pricing at $0.99 per resolution.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Erik Torenberg, Nathan Labenz.