Five questions boards should ask before expanding AI use
Insights
Five questions boards should ask before expanding AI use
An AI briefing should leave leadership with a decision to make. A list of pilots, tools, or training sessions does not show whether the organization understands the consequences of expanding their use.
NIST’s AI RMF Playbook connects governance with documented responsibilities, organizational risk priorities, and review practices. It is a useful reference for structuring oversight conversations. Read NIST’s Govern guidance.
A suggested board discussion
The questions below are practical prompts for a management briefing, rather than a certification checklist.
1. What decision are we being asked to make?
Distinguish permission to experiment from permission to expand. Ask management to state the proposed change, the intended benefit, and the alternatives considered in one paragraph.
2. Where will the system’s output matter?
Ask for a concrete workflow example. Who sees the output? Who might act on it? What happens if it is wrong? A demonstration can reveal consequences that a product description leaves unclear.
3. What evidence supports this recommendation?
Request the test conditions, unresolved issues, and limitations alongside positive results. A useful briefing makes clear which conclusions are supported and which remain assumptions.
4. Who can change or stop the deployment?
Name the business decision-maker and the operational contact. Ask what would trigger escalation, how quickly a change can be made, and who will explain that decision to affected teams.
5. What will we revisit at the next meeting?
Agree on a short follow-up: progress against the intended benefit, material problems, changes in use, and decisions still outstanding. Avoid adding measures simply because they are easy to collect.
Make the output usable
A practical one-page briefing can contain the decision requested, a workflow example, evidence reviewed, open questions, and the next review date. Keep supporting detail available for challenge.
The aim is to help leadership understand the choice before it, and the evidence that could change that choice.
Discuss your AI governance questions with StrategyAI Partners.