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In this blog, Andrew Fullen, a director at Sogeti working across Quality Engineering, SAP, and AI and one of the authors of the State of Worldwide Business Assurance for SAP Solutions report, draws on the report’s findings to examine whether organizations have turned their SAP transformation ambitions into action and where execution is still falling short.

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.

Every instinct says cover everything. A language model accepts any sentence a human can type, in any language, in any order, so the space of things to test is not large, it is infinite. And the reflex is to try anyway: more prompts, more adversarial examples, more red-team hours, thrown at every risk at once. Skipping any of it feels like leaving a door open, and worse, like the omission you will personally be blamed for.