OpenAI's internal data team built a self-service analysis agent that lets non-technical colleagues investigate business questions without submitting requests to a data analyst.
The core problem was trust. The team describes how they established a reliable foundation for the agent before rolling it out broadly, because a self-service tool that returns wrong answers creates more work, not less. That design reasoning is the part worth reading in full.
The product is ChatGPT for Work. The direction here is clear: companies that reduce analyst bottlenecks gain speed, and OpenAI is using its own tooling as the proof of concept.
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