Why AI Pilots Succeed but Deployments Stall
Key conditions present in controlled pilots vs. real-world production deployments
Pilot Conditions
Data quality
90%
Team motivation
95%
Scope control
85%
Process fit
80%
Measurement clarity
70%
Result:
Impressive demos. Success reported. Stakeholders satisfied. Rollout approved.
Production Reality
Data quality
35%
Team adoption
42%
Scope control
25%
Process fit
38%
Measurement clarity
28%
Result:
Stalled rollout. Usage drops off. "AI isn't working" narrative takes hold. Project quietly shelved.