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Decision users

Who Uses AI Governance Ratings?

How boards, investors, insurers, buyers and public institutions can interpret AI governance ratings for different decision contexts.

One evidence record. Different decision contexts.

A governance rating should preserve a consistent evidence base while allowing different users to interpret the signal for their own responsibilities. The underlying opinion does not become an investment recommendation, insurance loss estimate, legal compliance opinion or procurement approval simply because a different audience uses it.

Boards

Oversight, material deficiencies, risk appetite and governance trajectory.

For boards →

Investors

Operating discipline, material AI exposure and comparable governance maturity.

For investors →

Insurers

Control evidence, change triggers, monitoring and bounded risk context.

For insurers →

Government

Public accountability, rights, records, transparency and lifecycle control.

For government →

Interpret the rating within its limits

Decision users should confirm scope, methodology version, evidence period, unresolved conditions, validity and any material-change triggers before relying on a rating. A rating is one governance signal within a broader diligence and assurance process.