Agentic AI

This white paper from ATARC explores the emergence of agentic AI as the next evolution of artificial intelligence, shifting from reactive content generation to autonomous, goal-driven decision-making. Agentic AI systems can perceive their environment, plan multi-step actions, and execute tasks independently while continuously learning from feedback. The paper outlines how these systems enhance automation, improve efficiency, and act as cognitive collaborators across government and industry. It highlights key use cases including public services, operations, national security, and workforce transformation.