The argument running through this writing is that AI is a governance problem wearing a technology costume. A board that treats it as a procurement question inherits a risk it cannot see, and a program office that treats it as a pilot inherits one it cannot document.
Our AI implementation practice is built the same way round. Before a model is selected, the questions are what decision it touches, who is accountable when it is wrong, what evidence an authorizing official will need, and how the thing gets turned off. That sequencing is not caution for its own sake. It is the difference between a capability that reaches production and a pilot that quietly stops being mentioned.
See how the AI implementation practice applies this, or read about the independent technical judgment we bring to program offices.