AI projects rarely fail because the model was not powerful enough.

Legacy software creates a strange kind of tension.

CEOs should evaluate AI investments by asking whether the investment improves a measurable business outcome, changes a real workflow, keeps humans appropriately involved, has a realistic path to production, and creates value that outweighs cost and risk.

Many organizations know they need to modernize their legacy applications. They also know why they haven't.