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Expected by: 01 December 2026
Agentic AI
Foundations, architectures and enterprise deployment
by Shriram K. Vasudevan, Giridhararajan Rajarajan, Sini Raj Pulari, S. Vimal
Agentic AI refers to autonomous systems driven by large language models (LLMs) that act as intelligent agents, capable of perceiving environments, setting goals, creating multi-step plans, making decisions, and executing complex, multi-step workflows with minimal human oversight. Unlike passive chatbots and traditional AI tools that simply answer prompts, agentic AI actively reasons, uses digital tools, and adapts processes across various applications. It is rapidly emerging as the next major paradigm in automation, AI engineering, and enterprise transformation.
In this comprehensive and industry-aligned co-authored reference, the authors explain how agents differ from conventional AI, how they are architected internally, how they collaborate in multi-agent systems, how to design, deploy, and govern them in real-world environments. They cover agentic AI foundations, design patterns, advanced multi-agent systems architecture, deployment models, testing and governance. The book blends academic clarity with industry relevance, making it ideal for researchers exploring agentic behaviour and multi-agent design; industry professionals implementing enterprise AI workflow; advanced university students and lecturers in AI, automation, and intelligent systems; and students preparing for the next wave of AI jobs and research directions.
The authors have provided a wealth of supplementary material with 60+ supporting YouTube videos for learners, 24 hands-on projects with accompanying GitHub repositories, and QR codes integrated throughout the book for seamless access.
About the Author
Shriram K. Vasudevan is a senior manager at Accenture, Coimbatore, India. He was previously at Intel Corporation. He has 18 years' experience in industry and academia as well as researching and consulting in the areas of AI, deep learning, and cyber security. He has authored and co-authored 55 books, published 150+ research articles, and been granted 14 patents. He is a hackathon enthusiast who has won 40+ hackathons. He also runs a YouTube channel with 45k subscribers.
Giridhararajan Rajarajan is a generative data science specialist at Dassault Systémes Solution Labs, Bengaluru, and is working towards his PhD in artificial intelligence and industrial IoT at Vignan's Foundation for Science, Technology & Research, India. His research interests span deep learning, NLP, Industrial IoT, and intelligent manufacturing systems. A hackathon champion, he has secured several national and international recognitions and published his research in reputed international journals.
Sini Raj Pulari is a professor, researcher, and head of the Data Analytics and Database Department in the Faculty of EDICT at Bahrain Polytechnic in the Kingdom of Bahrain. She has 17 years of computer science engineering research and professional experience at universities and in industry. Her research focuses on AI, natural language processing, information retrieval, cyber security, banking fraud detection, and recommender systems. She has authored 30+ Scopus Indexed publications, co-authored 7 books, and delivered 60+ invited lectures.
S. Vimal is a professor and dean of the School of Computing & Emerging Tech, Kalaignar Karunanidhi Institute of Technology (KIT), Coimbatore, India. His research is focused on artificial intelligence, machine learning, big data analytics, network security, cognitive radio networks, and game modelling. He has published extensively in high-impact international journals across data analytics, networking, and security, and edited 3 Scopus-indexed books. He serves as a guest editor for SCI journals, has coordinated 27 special issues, and is a regular reviewer.
Publication Year: 2026
Pages: 450
ISBN-13: 978-1-80705-300-0
Format: HBK