Board AI Governance Diagnostic

Where does your board really stand on AI governance?

A 5-minute diagnostic based on the Corporate AI Governance Code.

Get a clear, honest view of whether AI oversight is fragmented, emerging, disciplined, embedded, or resilient across the board-level governance domains that matter.

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What You'll Get

A fast boardroom snapshot, not a generic AI-readiness quiz

1

Your governance maturity stage

See where the organisation sits on the journey from informal oversight to assured board-level AI governance.

2

A six-domain score breakdown

Understand strengths and weak spots across leadership, responsibilities, control, risk, people, and transparency.

3

Recommended next moves

Identify the governance conversations and evidence gaps most likely to matter at the next board or committee review.

What We Measure

The diagnostic follows the six sections of the Code

Most AI assessments focus on tools, use cases, or adoption. This one asks whether the board has the governance evidence needed for oversight, accountability, assurance, and stakeholder trust.

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Score the evidence, not the aspiration

Use the scale consistently: a higher score should reflect board-visible evidence, named accountability, repeatable operating discipline, and an assurance path. This diagnostic is indicative; it is designed to structure a board conversation, not certify compliance.

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