A real AI strategy fits on one page and contains decisions, not aspirations. If a document is full of the word "leverage" but never says which task changes or who is accountable, it is a mood board, not a strategy.
What belongs on the page
- Business goals the strategy serves - cost, speed, quality or growth
- Prioritised opportunities - the specific tasks AI will target, ranked
- Guardrails - data rules, human oversight, and what is off-limits
- Ownership - who runs it and who is accountable for outcomes
- Measures - the numbers that will tell you it worked
- A first pilot - the one thing you will trial in the next month
That is the whole thing. The five-part framework for building it maps directly onto these components.
What does not belong
A tool wish list, a survey of the technology, or predictions about the future. Those are context, not strategy. Strategy is the set of choices about where you will act.
The bottom line
An AI strategy includes goals, prioritised opportunities, guardrails, ownership, measures and a first pilot - and little else. Learning to write and defend one is the core of the AI Strategy for Executives course at London School of Business UK. Enquire today.