The enterprise AI story is more uneven than the launch cycle makes it look. Many companies are experimenting, but deep integration remains harder because workflows, data permissions, procurement, and employee trust all have to change together.
That slower pace is not a sign that AI is irrelevant. It is a sign that useful AI has to survive the operating reality of large organizations, where a tool must fit compliance, training, support, and budget cycles before it becomes default behavior.
The metric to watch is not how many companies mention AI, but how many can point to repeatable work that improved because of it. Pagish will keep separating pilot noise from operational adoption.
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