ENTERPRISE AI ARCHITECTURE: Volume I - Models, Protocols, Agents, Retrieval, and Application Development

Artificial Intelligence is transforming every aspect of modern software and enterprise architecture. Yet building successful AI systems requires far more than selecting a foundation model or experimenting with the latest tools.Enterprise AI Architecture — Volume I: Designing the Stack provides a practical blueprint for designing modern AI applications using foundation models, protocols, agents, retrieval systems, memory architectures, and development frameworks.Built around the author's Nine-Layer Enterprise AI Architecture, this volume helps architects and technology leaders understand how the rapidly evolving AI ecosystem fits together as a coherent, interoperable, and scalable architecture.Rather than focusing on individual products, this book emphasizes architectural principles, design patterns, decision frameworks, and technology evaluation criteria that remain relevant as tools and platforms evolve.Inside, you'll learn how to:• Understand the role of foundation models in enterprise AI systems• Design AI applications using modern protocols and interoperability standards such as MCP• Build agent-based architectures and orchestration workflows• Implement retrieval-augmented generation (RAG), memory systems, and knowledge architectures• Evaluate AI development tools and coding assistants using structured architectural criteria• Apply the Nine-Layer Enterprise AI Architecture to real-world enterprise scenarios• Design AI systems that are scalable, observable, governable, and future-readyThis volume is designed for:• Enterprise Architects• AI Architects• Solution Architects• Software Architects• AI Engineers• Platform Engineers• Technical LeadersWhether you are building your first AI-powered application or defining an enterprise-wide AI strategy, this book provides the architectural foundation needed to design AI systems that last.Build the AI Application. Design the Stack. Architect for the Future. Read more