The Board’s AI Agenda
A board should oversee AI as strategy, capital allocation, enterprise capability, material risk, leadership readiness, and long-term value creation.
Focus on enterprise consequence
Ask how AI changes customers, competition, economics, business model choices, and the company’s sources of advantage. The board should test management’s thesis and alternatives rather than request a catalogue of pilots.
Examine capability and capital
Review whether investment matches strategic priorities and whether the company has accountable leadership, data, architecture, talent, controls, and adoption capacity. Understand which spending creates reusable capability.
Oversee material exposure
Ensure management has a consequence-based inventory, named risk owners, monitoring, incident response, and clear escalation to the board. Oversight should include risks of inaction and weak execution as well as system misuse.
Common Mistakes
- Managing vendor selection from the boardroom
- Receiving only innovation presentations
- Separating opportunity from risk review
Market Signals
- Board materials count pilots without outcomes
- AI risk is discussed only as cybersecurity
- Capital requests lack an operating model