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Twelve Questions Every Board Should Ask About AI
Newroz InsightsExecutive Advisory10 min read
A diagnostic for non-executive directors testing whether management's AI agenda is substantive.
Boards are increasingly asked to approve AI investment without a means of testing whether the plan is sound.
The most useful questions are not technical. What outcome is this expected to change? What is the stop condition? Who owns the risk? What happens to the workforce affected?
A board does not need to understand model architecture. It needs to know what management would stop, and when.
Management teams with a real plan answer these in specific terms. Teams without one respond with capability descriptions and vendor names.
This paper sets out twelve questions, the answers that should reassure a board, and the answers that should not.