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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.

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.

Ask five people what a “good” AI system is and watch the answers scatter. The product lead means it gives correct, useful answers. The security officer means it cannot be tricked into leaking its instructions. The privacy officer means it never repeats one user’s data to another. The finance lead means it does not burn a fortune in compute per query. The ethicist means it treats every user fairly and never manipulates them. One phrase, “a good AI,” concealing at least six different systems, each certain theirs is the one that counts.