Turning AI Pilots into Productivity Engines
Enterprise AI has hit an inflection point. Nearly every large organization has adopted generative AI somewhere in its operation but adoption and productivity are turning out to be very different things. The companies pulling ahead aren’t the ones running the most pilots. They’re the ones converting AI investment into measurable engineering throughput, faster delivery cycles, and cost structures they can defend to a CFO.
The Adoption-Productivity Gap
The numbers tell an uncomfortable story. The vast majority of enterprises now use generative AI in at least one business function, yet most report no material contribution to earnings. Fewer still see their vertical, function-specific use cases ever make it out of the pilot stage.
This isn’t a technology problem. It’s a structural one. Most organizations have defaulted to horizontal deployments: broad, enterprise-wide copilots that spread benefit thinly across everyone and everything. The real economic value lives in vertical use cases tied to...
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