This paper explores the rapid emergence of AI agents as autonomous or semi-autonomous systems capable of performing complex tasks and interacting with users, tools and environments. It highlights that while adoption is accelerating, organizations lack clear frameworks for evaluating and governing these systems. The report provides a structured foundation across three areas: technical architecture, functional classification and governance models aligned with risk and autonomy levels. It emphasizes that AI agents introduce new challenges such as goal misalignment, behavioral unpredictability and systemic risk, requiring oversight models closer to human governance than traditional software control. The central message is that responsible adoption depends on aligning deployment with evaluation

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