Most AI programmes do not fail because the technology is weak. They stall when a promising demonstration has no clear owner, operating change, or measure of value.
Start with the decisions and workflows where people lose time, context, or confidence. Then design a small, governed intervention that can be evaluated in the real work.
Practical adoption treats data quality, human oversight, and change management as part of the product—not work to be solved later.