AI Strategy
AI is a business decision before it is a technology one.
An AI strategy answers a few plain questions. Where could AI make the organisation better at what it already does? What will it cost, in money, data and skills? Which risks is the board willing to accept, and which are off the table? Without answers, AI arrives in small, unplanned ways: a tool adopted by one team, a vendor's feature switched on by default, a pilot that never ends.
Strategy is also where the organisation decides how it will use AI responsibly, because that is far easier to set at the start than to add later. Good starting points exist: the OECD's AI Principles, UNESCO's Recommendation on the Ethics of Artificial Intelligence and the African Union's Continental AI Strategy each set out what governments and organisations are encouraged to weigh, and the European Union's AI Act shows how rules can differ with the level of risk.
This theme is about turning enthusiasm for AI into a plan the board can stand behind: where to start, what to leave alone, and how to know whether it is working.
Directors and trustees, executives, strategy and technology leaders, and managers deciding where their teams will use AI.