Before you can govern your AI, you need to see it clearly.
The Institutional AI Sovereignty Assessment maps exactly where control is strong, where it is fragile, and what must be fixed — before the next board review, budget cycle, or regulatory inquiry.
— Rad H. Pasovschi, CEO, Institutional AI
As institutions confront the growing dependency of intelligence on third-party infrastructure, the question is no longer whether to govern AI — but how to verify control.
To help boards, CIOs, and trustees quantify their degree of sovereignty, Institutional AI has developed the AI Factory Sovereignty Assessment — a confidential evaluation designed to measure governance maturity across the five control dimensions:
Jurisdictional, Logical, Technical, Operational, and Contractual.
The assessment provides:
AI WITHOUT CONTROL IS A LIABILITY
• Decisions cannot be fully explained
• Data lineage is incomplete
• Models operate outside institutional oversight
• Governance lags behind execution
For institutions, this is not a technology issue.
It is a control failure.
Understanding your institution’s AI sovereignty posture is no longer optional — it’s strategic.
The Institutional AI Assessment delivers an actionable snapshot of where you stand today and how to close the gap before the next budget cycle or regulatory review.
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