This book is a practical guide to transforming enterprise architecture in the age of generative AI. As intelligent systems reshape how organizations build, scale, and govern technology, this book bridges the gap between traditional architectural frameworks and the emerging GenAI-driven landscape.

The book begins with an overview of enterprise architecture principles, including TOGAF, Zachman, and Gartner frameworks, and dives into core architectural layers—application, data, technology, infrastructure, and security. It then introduces the fundamentals of Generative AI, its model types, and its rapid evolution within enterprise contexts. The core of the book is how GenAI disrupts and elevates architectural thinking—from conversational modeling and automated decision records to reimagining design lifecycles through intelligent automation, augmentation, and autonomy. Readers will learn how to modernize application portfolios, document and repair APIs, and embed LLMs as intelligent middleware. Dedicated chapters explore GenAI's transformative impact on platform engineering, DevOps, cloud/edge infrastructure, observability, and AI-augmented governance. Key use cases include auto-generating code and configurations, orchestrating deployment pipelines with non-human agents, enabling self-documenting platforms, and enhancing security through GenAI-driven threat modeling and compliance enforcement. The book concludes by examining responsible AI practices and human oversight in autonomous architectures, offering practical insights into creating secure, scalable, and resilient systems powered by GenAI.

Whether you're an architect or developer, this book provides a modern framework for applying GenAI across the enterprise stack and designing the next generation of intelligent, adaptive, and self-governing enterprise systems.

What you will learn:

• Understand core enterprise architecture principles and frameworks in the context of a generative AI-driven world.
• How GenAI is disrupting and enhancing every layer of enterprise architecture—from design to deployment.
• Explore practical methods for integrating GenAI into application architecture, API ecosystems, and DevOps pipelines.
• Discover how intelligent agents, automation, and orchestration are reshaping platform engineering and cloud infrastructure.

Who this book is for:

This book is for enterprise architects, AI practitioners and machine learning engineers seeking to integrate Generative AI into enterprise systems.

Shivakumar R. Goniwada is an inventor, chief enterprise architect, and seasoned technology leader with over 27 years of experience in designing cloud-native, event-driven systems. Currently at Accenture, he leads a team of enterprise and cloud architects, driving complex digital transformations across industries. Shivakumar holds 10 software patents (with more pending) in areas such as cloud, polylithic architecture, software engineering, and IoT. A frequent speaker at global and internal conferences, he holds certifications in Master Technology Architecture, Google Cloud, AWS, and Data Science, and completed an Executive MBA from MIT Sloan School of Management. He is the author of three books: Cloud Native Architecture and Design, Introduction to Datafication, and Introduction to One Digital Identity, published by Apress.