Transformation in action: What it takes to automate 81% of your customer service while improving CX

Summary

Intercom describes how its Customer Support team adopted an AI-first strategy after a 2022 review exposed rising demand, weak service-level commitments, and plans to broaden support access. The team began with high-volume informational queries, then expanded Fin through deeper documentation, internal procedures, customer-action capabilities, knowledge management, conversation design, skills-based routing, and organizational changes including a dedicated AI Support team. Fin now resolves over 81% of support volume and helped absorb a 300%+ demand increase without proportional headcount growth, while over 90% of customers receive improved first response performance, 24/7 coverage, and outbound phone support. The remaining human work has shifted toward consultative engagements, while Insights, Guidance, Tasks, and Procedures support ongoing optimization. Next, the team plans to use a four-stage Fin Flywheel—Train, Test, Deploy, and Analyze—and continue developing its Agent Blueprint.

Takeaways

1. 1

   Fin resolves over 81% of Intercom’s customer support volume and helped absorb a 300%+ increase in demand without proportional headcount growth.

2. 2

   Intercom embedded knowledge creation in its New Product Introduction process, targeting at least 50% Fin resolution for customer issues at each new product or feature launch.

3. 3

   The Fin Flywheel defines four ongoing improvement stages: Train, Test, Deploy across voice, email, chat, and social, and Analyze performance with AI-powered Insights.