What is an AI adoption strategy?
An AI adoption strategy is a plan for turning AI from a few experiments into everyday capability across an organisation. A good one is less about tools and more about behaviour: which real work AI should improve first, how people build the habit, and how the gain is measured and proven.
Strategies that lead with procurement tend to stall. The tools get bought, but the working habits never form. Strategies that lead with real work and daily practice tend to stick, because value shows up fast and spreads on its own.
The measurable version has three parts: pick the dreaded tasks AI can clear, build a daily loop so practice compounds, and keep a record of capability so leaders can see progress and expand with confidence.
With the work people already dread. When AI clears a real, unloved task, adoption is pulled by value instead of pushed by mandate.