McKinsey’s white paper defines Agentic AI as systems that can autonomously plan, execute, and adapt across complex tasks with minimal human input. Unlike traditional AI, agentic systems exhibit goal-orientation, tool use, memory, and self-refinement. The paper outlines levels of agentic maturity and highlights enterprise use cases in customer service, finance, software engineering, and operations. To seize the advantage, organizations should start with pilot use cases, invest in orchestration infrastructure, and embed safety, governance, and business alignment into every layer of deployment.

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