Intercom's three lessons for creating a sustainable AI advantage
When ChatGPT launched in 2022, [Intercom(opens in a new window)](https://www.intercom.com/) 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.
- Agent or tool
- ChatGPT
- Topic
- Customer Support
- Reported on
- Case study (OpenAI)
- Added
- 2026-11-11
Why it matters
Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 356 by interest), and one of 145 involving ChatGPT.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into ChatGPT or any similar agent and adjust the details to your situation.
I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was ChatGPT.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Case study (OpenAI): https://openai.com/index/intercom. Our summary is a paraphrase; details are in the source.
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