AI creates value when it is connected to a business problem rather than deployed as a technology experiment. Organizations should prioritize use cases by value, feasibility, data readiness and risk.
Successful adoption also requires redesigned workflows, governance, human oversight and the skills to operate new systems.
The objective is not the largest AI portfolio. It is a focused set of use cases that can move from pilot to repeatable value.