WisdomAI is the enterprise data harness inside ChatGPT, for the complex analytical questions where the answer has to be deterministic, traceable, and consistent.
Connectors provide access. Catalogs and semantic layers provide definitions. The WisdomAI harness applies both at runtime by selecting the right context for each question, enforcing row- and column-level security for the person asking, optimizing execution for the underlying platform, verifying results, and repairing failed queries.
Business context strengthens continuously as WisdomAI learns from documents, query logs, catalogs, semantic layers, dbt, and BI metadata, proactively identifies where it lacked sufficient context, and routes proposed changes through expert review and versioning. Corrections become governed organizational knowledge rather than one-time fixes buried in individual conversations.
WisdomAI works across data platforms, sources, and deployment environments, including fully on-premises for regulated data that cannot leave your environment. The harness, the context, and query execution stay behind your firewall; only the answer crosses.
Every answer is grounded in governed definitions, enterprise data, and visible sources making it trustworthy enough to run your business on.
Use WisdomAI in ChatGPT to:
- Ask questions of governed business data: "How did Q3 net revenue track against plan in EMEA?"
- Follow up in the same line of analysis: "Break that down by segment and show the last 4 quarters"
- Investigate an open-ended question end to end: "We missed plan in EMEA last quarter. What drove it, which segments and accounts moved most, and what should we watch going into Q4?"
- Trace an answer to its definitions and sources: "Which definition of net revenue was used, and what data did it come from?"
- See what's available to you: "What data do I have access to, and which metrics are defined for finance?"