The 95% Failure Rate: Why most AI pilots are built for demos, not the "messy reality" of the work floor.
Sin #1: The danger of forcing AI into legacy workflows instead of redesigning them.
Sin #4: "If you own the house, you are owned by the house", the trap of building everything in-house.
Sin #7: "Training brains you don't own", the risk of feeding proprietary data into public models.
The Future Moat: Why "Human Deviation" and empathy will matter more than data.

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