The pilot trap
Many companies launch AI initiatives because leadership wants evidence of innovation, not because a workflow is ready for improvement. That creates pilot projects with no hard owner, no implementation deadline, and no baseline for success.
The output looks impressive in meetings but never survives contact with daily operations.
Process before model
AI does not rescue a broken workflow. If the underlying process is inconsistent, undocumented, or politically unclear, the model simply makes the confusion faster.
The teams that win usually spend more time mapping the workflow than shopping for the best benchmark score.
TL;DR Summary
- Undefined business ownership kills more projects than model quality.
- Bad process design gets mislabeled as an AI failure.
- Successful teams anchor AI to one measurable operational outcome.