As enterprises adopt Agentic AI to automate critical business processes, the challenge is no longer building intelligent agents--it is ensuring they operate reliably, securely, and responsibly on enterprise data platforms that cannot afford downtime. This book provides a practical blueprint for designing resilient AI-native enterprise architectures where autonomous agents interact with mission-critical Oracle and SAP systems. Readers will learn how to architect highly available data platforms, integrate Agentic AI with enterprise workflows, and implement governance, observability, and operational controls that ensure autonomous systems remain trustworthy, auditable, and resilient under failure. Drawing on proven enterprise patterns, the book demonstrates how to combine Oracle high-availability technologies, SAP Business Technology Platform (BTP), blockchain-backed provenance, and modern AI orchestration frameworks into a unified enterprise architecture.
Going beyond infrastructure design, the book introduces the role of the AI Orchestrator--the enterprise architect responsible for governing AI-driven business operations across data, applications, and infrastructure. Through practical reference architectures, implementation patterns, migration strategies, and operational playbooks, readers will learn how to build self-healing, AI-enabled enterprise platforms that support continuous operations, regulatory compliance, and business resilience. Aligned with industry standards including TOGAF 10, the NIST AI Risk Management Framework, Model Context Protocol (MCP), Agent2Agent, and the OWASP Top 10 for LLM Applications, this book equips enterprise architects, technology leaders, and platform teams with the knowledge needed to design and operate production-ready Agentic AI systems at enterprise scale.
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