
In an era where enterprises increasingly depend on artificial intelligence to drive critical applications—from customer service chatbots to predictive analytics—the reliability of these AI models has become a cornerstone of business success. With billions of dollars invested in AI deployment, a staggering challenge emerges: how can organizations trust the performance of these systems when evaluation methods often fall short of










