This white paper defines agentic AI as systems that take initiative, plan tasks, make decisions, and act autonomously on behalf of users. Unlike traditional AI tools, agentic systems handle multi-step workflows with minimal supervision. The guide explains key components—planning, memory, tools, and feedback loops—and outlines use cases from sales outreach to enterprise automation. Benefits include faster execution, reduced cognitive load, and scalable productivity. The paper emphasizes building secure, compliant agentic AI by integrating governance, responsible AI practices, and human oversight into system design.

Join for free to read