We’ve seen it dozens of times: a promising AI pilot that never makes it to production. The demos are impressive, stakeholders are excited, but months later the project is still “in pilot.” Here are the warning signs—and how to escape.
## 1. Success Metrics Keep Changing
If every review meeting introduces new criteria for success, you’re not moving toward production—you’re moving the goalposts.
## 2. The “Data Problem” Never Gets Solved
Pilots often use clean, curated datasets. Production requires messy, real-world data. If you haven’t tackled data quality, you’re not ready.
## 3. IT and Business Aren’t Aligned
When the business team says “it works great” but IT has a list of blockers, you have a communication problem, not a technology problem.
## 4. There’s No Clear Owner
Pilots run by committees rarely graduate. Someone needs P&L responsibility for the production system.
## 5. You’re Optimizing for Demos
If your team spends more time preparing demonstrations than building production infrastructure, priorities need adjustment.
## Breaking Free
The cure is often simple: set a hard deadline, assign a single owner, and accept that v1 won’t be perfect. Done is better than demo.