Board reporting should not try to reproduce the entire AI register. It should help leaders understand whether AI use is known, owned, governed and changing in ways that require attention.
A useful management view should answer a small number of questions
- Where is AI being used and for what business purpose?
- Who is accountable for each material use?
- Which uses carry the highest or most uncertain risk?
- Which controls, actions or approvals remain incomplete?
- Which suppliers or products create important dependencies?
- What incidents or material changes occurred during the period?
- What is the organisation spending and what value is expected or being realised?
Reporting is only as good as the underlying record
A polished dashboard cannot fix inconsistent ownership, incomplete assessments or disconnected evidence. The governance workflow and the reporting workflow need to be part of the same system.
Avoid false certainty
Good reporting should make unknowns visible. If a supplier has not provided evidence, if an owner has not completed a review or if a use case is still being assessed, the report should say so rather than hide the gap inside a single score.
The goal is not a green dashboard. The goal is a defensible view of what is known, what is controlled and what needs a decision.