This paper demystifies generative AI agents, explaining how they differ from standard models by combining reasoning, memory, and autonomy. It details their ability to chain tasks, interact with environments, and self-improve, making them powerful tools for business process automation. Use cases span healthcare decision support, financial analysis, customer service, and supply chain optimization. The report highlights both opportunities and risks—agents can reduce human workload but may introduce unpredictability, bias, or compliance issues. Governance, monitoring, and clear ethical guidelines are presented as essential to deploying these advanced autonomous systems safely at scale.

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