Every enterprise AI pilot looks good. This is not a cynical observation — it is a structural reality of how pilots are designed. The data is curated. The scope is narrow. The use case is selected precisely because it is the one where the existing data is cleanest and the model is most likely to perform well.

There is a conversation happening in every enterprise AI post-mortem that nobody wants to be the first to say out loud: the model wasn't the problem. The model did exactly what it was trained to do.