In mid-2025, a widely publicized report claimed that almost all AI pilots fail. While there’s been some debate around the reported failure rate, there are obvious reasons why some AI projects are successful while others never make it past the pilot stage.
In my experience, much of what makes or breaks an AI project is connected to how well it’s set up — from the start — to identify and fix the major operational challenges that can stand in the way of success.
An Ideal World
Consider what an ideal environment for developing AI…
