United StatesTechnology and telecom2026 – ongoingOpenAI
Internal data agent for business analysis
OpenAI said its internal data agent returned analyses in minutes instead of days
Problem
Employees struggled to identify the right datasets and understand differences between similar tables. Incorrect joins and filters could invalidate analysis.
Approach
OpenAI built a custom data agent that explored datasets, ran queries and produced analyses. It combined table knowledge with organizational context and operated within existing permissions. Employees accessed it through tools including Slack and an internal web interface.
Results
No published figures
Takeaway
OpenAI reported answers arriving in minutes instead of days. It did not publish a measured average turnaround improvement.
Categories
- Industry
- Technology and telecom
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
OpenAI described an internal agent used by engineering, finance and other teams to answer data questions. It explained how contextual knowledge and query execution supported analysis, with a qualitative claim of faster answers.
Full details are in the original sources.