A first, usable AI strategy takes about a day to draft and a few weeks to test - not the months businesses imagine. The long timelines you hear about are usually scaling timelines, not strategy timelines. The strategy itself is a set of decisions; those can be made quickly if you are disciplined.
A realistic timeline
- Day 1 - draft a one-page strategy: goals, opportunities, priorities, guardrails, measures
- Week 1 - choose the top opportunity and set a baseline
- Weeks 2–3 - run a small pilot with a human checking output
- Week 4 - review the evidence and decide: keep, drop or scale
- Months 2–6 - scale what worked, with training and change management
Why the first version should be fast
A strategy is only useful once it meets reality. A quick draft that you test beats a perfect document that sits unread. This is the same logic as starting small - learn by doing, then refine.
What actually takes time
The slow parts are rarely the thinking. They are data clean-up, integration and adoption - getting people to change how they work. Budget realistically for those, not for the strategy itself, and revisit the plan as things change, since staying current is part of the job.
The bottom line
Drafting an AI strategy is fast; proving and scaling it is where the weeks and months go. Learning to move quickly from plan to evidence is central to the Strategic Application of AI in Business course at London School of Business UK. Enquire today.