According to a recent CDO survey, most enterprises are using or experimenting with AI analytics. Yet 81% are still primarily reliant on dashboards and one-off requests to deliver insights. 

The problem is trust. Leaders need accuracy, consistency, governance, and visibility in order to trust AI to deliver decision-ready insights — a reality that less than 20% of survey respondents have achieved.

But it’s not the model’s fault. General-purpose AI harnesses simply weren’t built to address the complexity of enterprise data environments and the conflicting, missing, or out-of-date context that no LLM can resolve on its own. That’s the reality holding most businesses back from adopting AI analytics at scale. 

To help enterprises trust their AI-generated answers, we’re partnering on the launch of ChatGPT Work. 

“We’re excited to see more data tools and partners bringing their capabilities to ChatGPT Work, giving businesses more ways to explore their data and answer questions in natural language.” - Arpan Shah, General Manager, Technology, OpenAI

Now, with the WisdomAI connection, you can ask natural-language data questions in ChatGPT and get verified answers grounded in your business context and governance — saving time, reducing costs, but most importantly, giving you confidence in your AI-generated answers.

How it works

Simply giving an AI model access to your data doesn’t mean that it will understand it. WisdomAI’s Enterprise Data Harness supplies the data-specific logic ChatGPT needs to most efficiently interpret data queries, generate SQL, enforce governance, verify results, and repair errors. In essence, these instructions enable AI models to deliver accurate, consistent analytics at scale. 

With the WisdomAI connection in place, our harness specialized for tasks that require trusted data access, grounds any data-related ChatGPT questions in your Enterprise Context, enforcing your business definitions, ontology, and governance rules. The platform then generates the SQL or Python to collect the right data from the right sources in the most efficient way possible. Before delivering an answer in ChatGPT, WisdomAI verifies and repairs the result to ensure consistent answers. And any feedback you give flows back to the context, providing data teams with a mechanism to monitor and maintain accuracy as your business evolves. 

WisdomAI’s Enterprise Data Harness offers distinctive benefits that ChatGPT Work, does not inherently provide on its own: 

1. Deliver consistent answers at a lower cost

When you ask a question in any general-purpose LLM, the harness must first decipher the intent behind the query and identify the best skill(s) to achieve an accurate result. In contrast, WisdomAI’s Harness is trained to determine analytical intent and generate an optimized SQL or Python query based on your enterprise context.

By eliminating initial ambiguity, WisdomAI delivers tangible token savings. In our internal benchmark report that tests against a standard model on identical questions, WisdomAI used 2.3x fewer tokens, delivering a 3.4x total cost savings per question. 

The overall per-question savings is attributed to reduced warehouse-side consumption — a result of the contextually optimized query path WisdomAI generates. But the real, uncaptured savings happens downstream.

Consider all of the otherwise repeated queries and time spent trying to validate AI-generated answers. With WisdomAI in place, ChatGPT users consistently achieve 95%+ accuracy on enterprise analytics queries where context is in place. Each of those answers comes with an explanation that’s traced back to versioned context. So users can trust every answer. No further questions needed.

2. Power every insight with adaptive enterprise context

Enterprise context is the key to telling a model the right way to execute a query, but context alone is not enough. The problem is, your business changes fast: territories are redrawn, new product lines require custom margins, and pipeline definitions shift in quarterly planning sessions. Static context layers and built-in LLM skills can’t keep pace.

Here’s how WisdomAI’s Adaptive Context Engine helps you build and maintain AI accuracy:

• Start creating context from the sources you already maintain: databases, documents, query logs, catalogs, semantic layers, dbt, knowledge graphs, and BI metadata. 

• WisdomAI identifies questions where the model has to guess, proactively flagging when essential context is missing or further clarification is required.

• When a user or model proposes changes, each adjustment is routed for expert review before any context is encoded, providing versioned definitions through every evolution.

• WisdomAI continuously runs accuracy, consistency, and regression evaluations, providing Context Health visibility to both data admins and end users.

In practice, this means every answer is derived from governed, real-time enterprise context, and every correction is codified instead of becoming a one-time fix that lives in an analyst’s head. 

3. Keep data governed and secure

Enterprise data environments are inherently complex. You have data in public and/or private warehouses, internal applications, and unstructured documents — all destinations you may not be able to expose directly to an LLM for security reasons. And all of that data contains row- and column-level access provisions based on individual user permissions.

With WisdomAI, you can easily connect to your data sources, including on-prem and private cloud environments, without the security trade-off. Your data, credentials, context, and query execution all stay inside your WisdomAI instance. The only thing that crosses into the model’s boundary is the answer. 

See the impact of WisdomAI in ChatGPT Work

Here’s how these benefits play out in the real world: Patreon scaled self-service analytics to 80% of their business, achieving 95% accuracy in just 3 months. Arm cut a two-month manual procurement process down to a single decision-ready query. 

Neither of these teams went through expensive data stack migrations. They simply connected their existing context to an Agentic Analytics Platform that can help them maintain and access it.

If you're looking to analyze your data in ChatGPT Work, bring your business context with you. Starting today, you can find WisdomAI in the ChatGPT Work marketplace. Schedule a demo today to see how we can help you scale trusted AI analytics across your enterprise.