Direct answer
AI strategy is the work of deciding which business outcomes justify AI investment and which risks need to be resolved before implementation.
What gets prioritised
Good strategy compares use cases by value, frequency, process clarity, data sensitivity, integration effort, user adoption and measurable outcome.
Roadmap content
A useful roadmap includes recommended projects, implementation sequence, build-versus-buy considerations, data readiness, governance needs, cost ranges and decision points.
What to avoid
Avoid tool-first plans, vague transformation decks and AI projects with no owner, no success measure or no route into an existing workflow.