Improving support with every interaction at OpenAI

Source: OpenAI Date: 2025-09-29 URL: https://openai.com/index/openai-support-model

Summary

Summary

OpenAI published a case study of its own AI-powered support operations — describing how OpenAI’s customer support team uses AI to improve response quality, learn from each interaction, and continuously improve the support model. The piece documents a feedback loop where support interactions inform AI improvement, and improved AI enables better support.

Implications

Enterprise/platform thread. The support case study completes the trilogy of internal operations case studies OpenAI published in September 2025 (alongside sales and customer success). Support operations are where AI deployment feedback is most immediate: unhappy customers escalate, and the quality of AI-assisted support resolution is measurable in real time. OpenAI’s support model also has an interesting recursive quality: it supports users of an AI product using AI, and the failure modes (AI giving wrong information about AI) are visible and consequential. Publishing this internal use case demonstrates both confidence in the product and a commitment to the “continuous improvement from interactions” model that is a core part of modern AI deployment strategy.