Why Your AI Pilot Failed (And How to Fix It)

Let me guess: You ran an AI pilot, got impressive results, then... nothing. It's gathering dust while everyone went back to the old way of doing things. You're not alone. According to recent studies, 85% of AI pilots never make it to production. Here's why—and what to do about it.

Most pilots fail because they're designed as science experiments, not business solutions. They prove AI can work but ignore the human element. Your team doesn't care that your model has 95% accuracy. They care about whether it makes their job easier or harder.

The fix? Design pilots with adoption in mind from day one. Include the end users early. Make the interface dead simple. Show clear before-and-after metrics that matter to actual humans. And most importantly, have a clear plan for what happens after the pilot succeeds. Success isn't building a great model—it's getting people to actually use it.