Bring trusted insights to ChatGPT Work. Bring OpenAI models to WisdomAI.
WisdomAI and OpenAI give enterprises two ways to put trusted intelligence to work. Use WisdomAI in ChatGPT Work to ask complex questions across governed business data and use OpenAI models within WisdomAI to power accurate, contextual analytics across your enterprise.

Data access is not the same as business understanding.
Connecting an AI model such as OpenAI's models to enterprise data is only the first step. Without WisdomAI's operating layer between the question and the answer, even a powerful model can return a plausible response that conflicts with the way the business runs.
Before it can answer, the model still needs to know:
Which definition of revenue applies
Which customer table is authoritative
How a territory or hierarchy changed last quarter
What the person asking is allowed to see
Whether the result is actually correct
Which sources and definitions support the answer, so it can be reviewed and trusted
From powerful models to trusted business decisions
Govern every answer at runtime
WisdomAI selects the context relevant to each question, applies approved business definitions, enforces row- and column-level permissions, and shows the sources behind the result.
Use leading AI with enterprise choice
Bring WisdomAI-powered analytics into ChatGPT Work or choose OpenAI models within WisdomAI. Give teams flexibility in how they work without rebuilding the context and controls behind every experience.
Improve accuracy, speed, and efficiency
WisdomAI narrows execution to the right sources, optimizes and caches queries, verifies results, and repairs failures while reducing the repeated attempts and unnecessary compute often required to reach a correct answer.
What you can do with WisdomAI and OpenAI

Ask governed business questions
Get answers grounded in approved metrics, business logic, enterprise data, and the access rights of the person asking.
Investigate what changed and why
Move beyond a single query with multi-step analysis across relevant systems, segments, accounts, and time periods.
Follow the evidence
See which definitions and sources informed the result so the answer can be reviewed, explained, and trusted.
Reason across the enterprise
Analyze structured and unstructured data across warehouses, applications, documents, catalogs, semantic layers, and other governed sources.
Preserve model choice
Select OpenAI as the model provider behind WisdomAI experiences while keeping your enterprise analytics architecture flexible.
Apply the same governed context everywhere
Use a shared foundation of metrics, definitions, business rules, policies, and expert-reviewed knowledge across Conversational BI, Live Apps, and Analytics Agents.
How it works
The enterprise data harness behind every answer
Layer 1: OpenAI intelligence
OpenAI models understand the user’s intent and support natural, flexible interaction.
Layer 2: Adaptive business context
WisdomAI's Adaptive Context Engine identifies and applies the relevant metrics, definitions, ontology, policies, decisions, and business logic for the specific question.
Layer 3: Governed execution
WisdomAI's Enterprise Data Harness Harness routes the request to the appropriate systems, enforces row- and column-level access, optimizes queries, and works across structured and unstructured sources.
Layer 4: Verification and learning
WisdomAI verifies results, repairs failed queries, exposes sources, evaluates answer quality, and turns reviewed corrections into reusable organizational knowledge.
Trusted intelligence, proven in the enterprise
95% Accuracy
In WisdomAI benchmark question sets, compared with 73% for general-purpose AI such as OpenAI supplied with context.
3x Faster
First answer in 19 seconds compared a general-purpose AI in benchmark testing on identical questions.
3.4x Lower Cost
$0.13 per query versus $0.44 in the benchmark comparison.
9x Adoption Growth
Patreon reached 80% self-service adoption in three months.
Frequently asked questions

Every trusted AI experience starts with governed enterprise context


