Going beyond pilots with composable and sovereign AI

concept of production reality

AI pilots almost always work, and that’s the problem. The purpose of a proof of concept (POC) is to validate feasibility, surface use cases, and generate confidence for larger investments. But they thrive in conditions that rarely resemble the realities of production.

“POCs live inside a secure bubble,” says Christopher Kuehl, chief data officer at Continent 8 Technologies. Data is carefully compiled, integrations are few, and the work is often handled by the most senior and motivated teams.

According to Gerry Murray, IDC’s research director, the result is not so much a failure of the pilot as structural mis-design: many AI initiatives are effectively “set up for failure from the very beginning.”

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