AI pilots are easy to launch. But production AI is where the bill comes due — and why is so critical.
Does this sound familiar? A team spins up a promising use case. A model gets tested. An agent automates part of a workflow. Everyone sees potential. Then the hard questions arrive.
What data trained it?
Who owns the use case?
What policies apply?
Has the risk been assessed?
Is the model approved for this audience, this region, this decision, this level of autonomy?
This is where too many…