Why Most LLM Deployments Fail Without Structured Eval Frameworks
Monte Carlo outlines a three‑part evaluation pattern—test case, response, grader—and shows how even a handful of realistic cases can expose accuracy, relevance, and compliance gaps before shipping. Without such evals, 40% of enterprise agentic AI projects risk being scrapped, yet teams routinely ship without any systematic checkpoints.