OpenAI streamlines data analysis with in-house AI agent
OpenAI’s internal data agent combines memory, code-level understanding, and institutional knowledge to simplify complex data analysis.
OpenAI has developed an internal AI data agent designed to help employees move from complex questions to reliable insights in minutes. The tool allows teams to analyse vast datasets using natural language instead of manual SQL-heavy workflows.
Across engineering, finance, research and product teams, the agent reduces friction by locating the right tables, running queries and validating results automatically. Built on GPT-5.2, it adapts as it works, correcting errors and refining its approach without constant human input.
Context plays a central role in the system’s accuracy, combining metadata, human annotations, code-level insights and institutional knowledge. A built-in memory function stores non-obvious corrections, helping the agent improve over time and avoid repeated mistakes.
To maintain trust, OpenAI evaluates the agent continuously using automated tests that compare generated results with verified benchmarks. Strong access controls and transparent reasoning ensure the system remains secure, reliable and aligned with existing data permissions.
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