Define Agentic AI

Define Agentic AI as artificial intelligence systems that exhibit autonomous agency through independent perception, decision-making, and goal-directed action execution without requiring continuous human supervision. These systems demonstrate key agentic properties including environmental awareness, strategic planning, adaptive behavior, and persistent goal pursuit across extended timeframes. Agentic AI systems can perceive their surroundings through sensors and data inputs, process information to understand context and situations, formulate objectives based on programmed goals or learned preferences, develop strategies to achieve those objectives, make decisions about optimal actions, and execute those actions while monitoring outcomes for effectiveness. Core capabilities include reasoning about consequences, learning from experience, adapting strategies based on feedback, and maintaining consistent behavior aligned with intended purposes. The definition encompasses systems that can operate independently in dynamic environments while demonstrating reliability, predictability, and safety. Applications include autonomous vehicles, intelligent personal assistants, robotic systems, automated trading platforms, and adaptive business process management systems that can function without constant human intervention while achieving desired outcomes.