Control coverage is half the answer.
A governance suite can tell you an AI system is controlled. It usually can't tell you what that control is worth, or whether the system earns its cost. TrustedAIGov holds both halves in one record — so the answer you give the auditor and the answer you give the board come from the same evidence.
Controlled, and provably so.
Risk classification, control coverage, obligations and an evidence library — per AI system, mapped to the frameworks your regulators actually use, with a decision and rationale recorded at every gate.
Justified, in the same view.
AI spend attributed to a process and an owner, waste surfaced, and value expressed as cost-per-successful-task — so when finance reviews the budget, the economic case sits beside the compliance evidence.
Nothing sits in a silo.
Every Solution runs on the same governed modules, so evidence collected once is reused everywhere. You move through five stages on one platform rather than stitching five tools together.
Evidence you can take upstairs.
Governance only matters if the people who sign can read it. Every workflow rolls up into outputs a board, an auditor, or an accredited body can act on — each traceable back to the record that produced it.
Where you stand, at a glance.
A traceable record of captured decisions for review.
Spend tied to process and owner.
Controls mapped to the frameworks in scope.
Principles we don't bend.
The platform never asserts what it can't show. A number without provenance is a rumour, so every number links to the records behind it.
AI surfaces recommendations with confidence and evidence. A person makes the call and their rationale is recorded — the human decision is the final authority.
Tenant isolation keeps your estate yours. Empty states say so rather than fabricating activity, and framework alignment is described as alignment — never certification.