Like many of you, I’ve seen firsthand the energy AI pilots generate inside large enterprises. Copilots, LLMs, intelligent automation — all bursting with promise. Hackathons happen, demos wow leadership and buzzwords flood internal slide decks. But after the initial excitement fades, most of those pilots quietly stall.
They remain trapped in silos. Untouched. Unscaled.
In my work with enterprise teams across industries — from financial services to manufacturing to healthcare — one pattern keeps repeating: it’s not the experimentation that’s hard. It’s what comes next. The transition from experimentation to operationalization. From idea to impact. From pilot to platform.
