
The meteoric rise of generative artificial intelligence has effectively decoupled the speed of technological deployment from the traditional pace of institutional oversight, creating a precarious gap where innovation often outruns safety. This structural imbalance has forced a paradigm shift in how organizations evaluate the utility of Large Language Models (LLMs), moving away from simplistic productivity metrics toward a rigorous, mathematically










