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

Legacy software is rarely “bad” software.

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.

A widely used medical reference application built with Xamarin had become increasingly difficult to maintain as platform support deadlines approached. The client needed to modernize the application before operating system changes and framework deprecations created larger compatibility risks.