The AI-Orchestrated Enterprise
Designing Trusted Agentic AI Systems for Oracle, SAP, and Mission-Critical Business Operations
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Beschreibung
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.
You Will:
- Design resilient architectures integrating Agentic AI with Oracle, SAP, and mission-critical data platforms.
- Implement HA, governance, observability, and blockchain-backed provenance for trustworthy autonomous systems.
- Build AI-native platforms with SAP BTP, Oracle high-availability technologies, and AI orchestration frameworks.
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.
You Will:
- Design resilient architectures integrating Agentic AI with Oracle, SAP, and mission-critical data platforms.
- Implement HA, governance, observability, and blockchain-backed provenance for trustworthy autonomous systems.
- Build AI-native platforms with SAP BTP, Oracle high-availability technologies, and AI orchestration frameworks.
Define HA Level 5 self-healing availability for autonomous systems beyond Oracle Platinum MAA resilience Make AI decisions auditable with blockchain-verified consent, provenance, and tamper-evident decision records Build autonomous enterprise architectures with AI governance, decision recovery, and resilient orchestration patterns
Autor*in
Rahaman Javid Ur
Themen in »The AI-Orchestrated Enterprise«
Oracle Data Guard high availability and disaster recovery SAP HANA System Replication and takeover Cross-vendor Oracle and SAP data resilience HA Level 5 autonomous availability architecture AI governance for autonomous enterprise decisions Blockchain provenance and audit trails for AI systems HTAP transactional and analytical processing under AI control Multi-cloud and hybrid database orchestration Data sovereignty and regulatory compliance in AI platforms Model Context Protocol and Agent2Agent interoperability Enterprise AI maturity model and ROI frameworks Agentic AI orchestration in enterprise architecture