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Discover how Intercom built a scalable AI platform with 3 key lessons—from evaluations to architecture—to lead the future of customer support.
By experimenting early, measuring rigorously, and building an architecture that evolves with each model, Intercom created a scalable AI platform that ships new capabilities in days, not quarters.
When ChatGPT launched in 2022, Intercom(opens in a new window) didn’t just watch the headlines—they mobilized. Within hours of GPT‑3.5's release, the customer service software company began experimenting, and just four months later launched Fin, their AI Agent that now resolves millions of customer queries each month. That early momentum wasn’t an accident. As LLMs leapt forward, Intercom recognized that AI would reshape customer experience. Leadership acted quickly, spinning up a cross-functional task force, canceling non-AI projects, and committing $100 million to replatform the business around AI. That decision sparked company-wide changes: reorganized product teams, a new AI-first helpdesk strategy, and a platform built to support Fin in handling high volumes and complex customer queries. Below are three lessons from Intercom’s journey that any team—no matter where you’re starting—can put to work right now.