Ambition tends to run ahead of readiness. Boards approve AI initiatives on the strength of the category rather than the specific business case, and delivery teams inherit a mandate without a foundation.
A practical sequence begins with the decisions the business wants to improve, works backwards to the data those decisions require, and only then considers tooling.
This reordering is unglamorous and considerably cheaper than discovering the gap mid-programme.