Transforming enterprise software delivery through agentic AI

One contradiction sits at the center of assessing anything intelligent: you judge its future behavior on the only evidence you have, how it behaved on the prompts you happened to try. With ordinary software that gap is bearable, because the code sits still. An AI system refuses to sit still, and that changes what a passing assessment is worth.

You know the launch you are afraid of. You are putting a language model in front of customers, or auditors, or your own staff, and somewhere in your chest sits the certainty that it will say something wrong at the worst possible moment, in flawless, believable sentences. So you do the sensible thing: you test it. You throw hundreds of questions at it, watch the answers come back polished and plausible, and you relax. It passed.

Part 1 of a 4-part series on AI beyond intelligence. In this series, Kim Berg, Global CTO for Data & AI Engineering, explores why enterprise AI success depends less on model capabilities and more on operational reality.