Organizations are increasingly deploying autonomous AI agents despite significant concerns about internal testing accuracy. Data shows that many teams suffer from an evaluation deficit, where automated performance checks fail to catch real-world production errors. Consequently, many companies are automating production pipelines without human oversight despite low confidence in their current testing frameworks.