Many innovations perform well in pilots but fail at scale. The reason is often organizational readiness. This article explores why innovation struggles during scale-up and what leaders can do about it.

AI pilots abound in utilities and manufacturing, but most never leave the lab. Nicole Kaufman Dyess outlines a practical framework to turn experiments into scaled systems—bridging engineering, markets and policy while keeping reliability at the core.