Agentic AI – Building Autonomous Intelligent Systems for Enterprise Applications is a groundbreaking exploration of how artificial intelligence is reshaping the modern enterprise through autonomy, adaptability, and intelligent orchestration. The book unpacks the essence of agentic systems AI entities capable of perceiving, reasoning, and acting independently within complex business environments. Structured to blend theory with practice, the book journeys from the foundational principles of autonomous agents and large language models to advanced enterprise deployment and real-world applications. It covers critical themes such as Model Context Protocol (MCP), multi-agent collaboration, state management, process automation, and scalable cloud architectures. Each chapter is designed to progressively build the reader’s understanding from the design and fine-tuning of intelligent agents to their monitoring, optimization, and integration into enterprise workflows. Through detailed frameworks, case studies, and architectural insights, readers gain a practical roadmap for building production-grade AI agents that deliver measurable business value. The book’s emphasis on real-world scalability, security, and continuous learning makes it equally relevant to AI practitioners, system architects, researchers, and business leaders. This book is a vision of how enterprises can evolve toward self-learning, autonomous ecosystems capable of intelligent collaboration. It invites readers to imagine organizations powered not just by automation, but by AI systems that think, decide, and grow shaping the next era of digital intelligence.