AI agents have become common in everything from chatbots to automation bots, but a new class of AI, Agentic AI, is redefining what autonomy and intelligence look like. This eBook offers a deep dive into the core differences between traditional AI agents and agentic AI, comparing their autonomy, planning, adaptability, and real-world impact. It explains why agentic AI isn’t just another buzzword, it’s the next step in building systems that think, plan, and act with minimal human input across complex tasks. Perfect for technical leaders, innovators, and strategists looking to understand the future of intelligent systems. 

Key Highlights   

• Get a clear breakdown of what distinguishes AI agents from agentic AI, including how each operates, sets goals, and adapts to real-time challenges.
• Understand the implications of agentic AI’s higher autonomy, proactive behavior, and ability to orchestrate multi-agent systems for complex outcomes.
• Explore practical applications, from chatbots and automation bots to self-managing systems in cybersecurity, logistics, and enterprise IT operations. 
• See real-world use cases where agentic AI outperforms traditional agents in decision support, robotics, virtual assistants, and digital workflows. 
• Learn how agentic AI enables full process automation, not just task automation, helping businesses move from efficiency to adaptability at scale.