Market & Advisory

Ten Questions Every Board Should Ask About AI

Oversight that goes beyond “are we doing AI?”

Boards should ask about AI the way they ask about any material investment and risk: what value it is creating, who owns it, how it is governed, and what could go wrong. The useful questions focus on outcomes, accountability and controls, not on which model or vendor the company uses.

By Capio Pro — Executive AI advisory.

Independent Board Chair (Listed Real Estate Company)

Management tells us we are “doing a lot of AI”. As chair, what should I actually be asking?

AI Leadership Agent — Strategic Advisory

“A lot of AI” usually means a lot of activity. The board’s job is to ask about value and risk.

  1. Which three AI initiatives matter most, and what has each delivered against its baseline?
  2. Who is the single accountable executive for AI?
  3. What is our written policy on data use and public AI tools?
  4. Which decisions does AI influence, and where is a human required to sign off?
  5. How do we know our data is good enough for the systems we are building?
  6. What is our exposure under UAE data protection rules and our sector regulator?
  7. How many pilots were stopped, and why?
  8. How much do we depend on any single vendor?
  9. How are our people being trained, and how is adoption measured?
  10. What would we report if an AI system failed in public tomorrow?
If management cannot name a stopped pilot, the portfolio is probably not being managed. It is being accumulated.

Independent Board Chair (Listed Real Estate Company)

How often should this come to the board?

AI Leadership Agent — Strategic Advisory

Quarterly is enough for most companies, with a short dashboard covering value delivered, risk incidents and readiness. An annual deep dive, ideally with an independent view, keeps the reporting honest.