Wiiisdom for AI Analytics
AI Analytics is only as good as the BI layer it runs on.
Before you let AI answer from your analytics layer, govern what it consumes.
Every AI Analytics initiative, also called agentic analytics or GenAI analytics, whether Copilot in Power BI or agents in Tableau, depends on the reliability of the analytics layer underneath it. Wiiisdom continuously certifies the reports, dashboards, and semantic layers AI consumes, so the answers it generates start from governed ground.
The analytics governance platform for the world’s most data-critical enterprises.
Why it matters
Putting AI on your analytics layer is the right strategy. It only works if that layer is governed.
Pointing AI at your analytics layer is a smart move. That layer is where data has already been shaped into business meaning, so it acts as the context that feeds AI. It is the fastest way to get reliable AI Analytics. But AI does not validate that context. It inherits it.
Whatever the dashboards, metrics, and semantic models contain, including every inconsistency, comes back as a confident answer. In a world where every employee can ask any question and get an instant response, an ungoverned layer becomes enterprise risk at machine speed. Plugging AI on top of analytics is the right strategy, but only with proper analytics governance, at scale.
Three forms of exposure
Errors at machine speed
One unverified BI asset becomes a liability in every query that touches it.
No traceability
No way to know which AI outputs were built on certified content and which were not.
Scale magnifies risk
Infinite questions on the fly mean error propagation no manual check can catch.
What it does
Govern the foundation AI depends on, at the speed AI runs.
Governed BI as the AI Foundation.
Certify what AI consumes before it consumes it. Wiiisdom validates and certifies the reports, dashboards, and BI semantic layers that feed AI Analytics and agentic analytics use cases. Every asset is reconciled against live data and validated against business rules, so when AI generates an answer, it starts from governed ground rather than guesswork.
- Validates and certifies the reports, dashboards, and semantic layer AI draws on.
- Validates definitions against your business rules.
- Reconciles the numbers against the source of truth.
Agentic Governance at AI Speed.
Governance that keeps pace with AI. Manual governance cannot operate at the speed of AI. Wiiisdom agents watch the analytics layer continuously, catching the changes that threaten the reliability of content AI is consuming. When something breaks upstream, governance acts before the AI does.
- Continuous validation, not periodic spot checks.
- Catches upstream breaks before they reach an AI answer.
- Acts within the autonomy boundaries you set.
Our point of view
The fastest path to AI Analytics runs through governed BI, not around it.
Two roads lead to AI Analytics. One rebuilds everything from the ground up. The other governs the analytics layer the enterprise already runs on and lets AI build on top of it. We believe the governed layer is the fastest, safest, and most economical on-ramp, and that governance itself now has to become agentic to keep pace.
It is a sequence, not a leap: data governance, then analytics governance, then governing the AI layer itself. Most enterprises are solid on the first rung and nearly absent on the rest.
89% of data and analytics leaders with AI Analytics in production say they have already experienced inaccurate or misleading AI outputs. This is not a model problem. It is a foundation problem.
Customer story
“The primary use case for Wiiisdom for Tableau really is that day-to-day governance of the data and making sure that the dashboards that are so hard to develop are accurate and up-to-date. Working with Wiiisdom really has been a collaborative experience and getting things resolved, not just a ‘here’s your license’.”
Byron Williams, Chief Administrative Officer, Oregon State Treasury