A new Bayesian statistical approach calibrates automated metrics against human judgments to replace aging models. Researchers tested the framework on a QA system handling 5.3M monthly interactions. It identifies suitable replacements by measuring correctness and refusal behavior. This methodology allows enterprise teams to migrate models with limited manual evaluation data.