Enterprises are rapidly integrating AI agents into core functions, with more than half of companies already deploying them. Despite this swift adoption, systematic verification and oversight remain largely absent. The agents are being trusted with critical tasks in sectors such as banking and healthcare, raising concerns about safety, accuracy, and potential manipulation. Industry experts argue that without multi‑layered testing frameworks and clear exit strategies, organizations risk exposing themselves to costly errors and systemic failures. The need for structured guardrails is growing as AI agents take on increasingly high‑stakes roles.
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