Platform
Governed AI.
An AI layer built on the data platform, for environments where governance is non-negotiable.
The problem
AI in regulated environments is a governance question first. What data the model sees, what decisions it influences, what audit trail follows each output — those answers have to hold under scrutiny, not just produce a plausible demo. Most AI offerings start from the model and add governance as a wrapper. In regulated settings, that ordering does not survive contact with the first audit.
What the practice delivers
The Cloudbuilder Governed AI layer is built on the Cloudbuilder Data Platform, not bolted on top of it. Governance is architected into the data surface the AI sees, the audit trail it produces, and the automation it enables in the reporting layer above. The same practice owns the platform, the governance model, and the AI surface — there is no handoff across vendors where accountability usually goes missing.
In practice
Governed AI is the mechanism that makes the other Cloudbuilder offerings production-credible in regulated environments. It is the spine that connects the data platform to the Power BI automation surface, without introducing a governance gap between them.