This datasheet explains how agentic AI enables federal agencies to automate complex workflows and improve mission outcomes with minimal human intervention. Unlike traditional AI, agentic systems can plan, reason, and act autonomously while continuously learning from feedback. The guide highlights use cases such as fraud detection, logistics optimization, public health monitoring, and administrative automation. It also addresses challenges including data security, bias, and governance, emphasizing the need for strong oversight and compliance frameworks. By adopting agentic AI, agencies can improve efficiency, enhance decision-making, and modernize operations while maintaining accountability and control.

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