A new Bayesian statistical approach calibrates automated metrics against human judgments to replace aging models. Researchers tested the framework on a system handling 5.3M monthly interactions to evaluate correctness and style. This methodology allows enterprise developers to swap models with limited manual data. It provides a reproducible path for production systems facing model end-of-life.