Continuous Evaluation

A traditional service usually fails loudly: an exception, a 500 error, a failed health check. An AI feature often fails quietly. The endpoint returns 200, the text is fluent, latency is normal, and every dashboard is green. Meanwhile, answers have become less accurate, summaries omit key conditions, the agent picks the wrong tool more often, or a policy answer is subtly out of date. Customers notice before the team does, and the first signal is a complaint, a churn conversation, or an audit finding.…