New Delhi, Sept. 19 -- Artificial intelligence (AI) can scale quickly across businesses, but traditional governance mechanisms may not be enough to manage AI once it moves from pilot projects into products, workflows and enterprise decision-making, according to a report by Ness Digital Engineering.

The report said enterprises need a new control layer that works continuously in production, as AI systems are probabilistic and their outputs can vary depending on factors such as context, model version, retrieved information, prompt structure, tool availability and user behaviour.

"Evals measure whether AI performs as intended. Guardrails define what it can access, decide, and do. Observability shows what happened, why it happened, and what ...