Executive Briefing · Directors

AI Governance for Directors

Good AI governance makes responsibility and evidence visible without forcing low-risk productivity tools through the same process as consequential automated decisions.

Questions leaders should ask

  1. 1.Do we know where material AI is actually being used?
  2. 2.Who owns each use case and its business outcome?
  3. 3.How is risk classified by consequence, autonomy and data sensitivity?
  4. 4.What evidence must exist before deployment or a material model/tool change?
  5. 5.Who can override or stop the system?
  6. 6.How are incidents, complaints and material failures investigated?

Practical next actions

  • • Maintain an accountable AI inventory.
  • • Define proportionate risk classes and approval thresholds.
  • • Require task-specific evaluation rather than generic model benchmarks.
  • • Document human oversight and escalation.
  • • Version material changes and periodically review whether each use remains justified.

This briefing is general decision-support material, not legal, regulatory, financial or investment advice. Apply sector-specific obligations and evidence before acting.

All executive briefings