When AI stops advising and starts acting, enterprise governance must change.
Agentic AI is redefining how organizations operate. Autonomous agents can reason, plan, make decisions, and execute complex business processes with minimal human intervention. While this creates unprecedented opportunities for productivity and innovation, it also introduces new risks that traditional AI governance frameworks were never designed to address.
Agentic AI in the Enterprise provides a practical blueprint for designing, deploying, and governing autonomous AI systems in regulated and mission-critical environments.
Built on the RACE Framework-Responsibility Assignment, Auditability by Design, Constraint Architecture, and Escalation & Human Oversight-this book presents a structured approach to ensuring that enterprise AI remains secure, transparent, accountable, and trustworthy.
Inside, you'll learn how to:
Design enterprise-grade agentic AI architectures.
Govern autonomous AI systems with clear accountability.
Identify and mitigate risks such as goal drift, authority creep, cascade failures, and silent degradation.
Build security controls for AI agents and multi-agent ecosystems.
Measure human oversight and prevent automation bias.
Implement governance aligned with enterprise architecture and emerging regulatory expectations.
Apply practical guidance through real-world enterprise case studies.
Drawing on enterprise architecture, governance, cybersecurity, and decades of experience delivering transformation across banking, financial services, insurance, and healthcare, this book bridges the gap between AI innovation and responsible enterprise adoption.
Whether you're a CIO, CTO, Chief AI Officer, Enterprise Architect, AI Engineer, Risk Leader, Security Professional, Product Executive, or Board Member, Agentic AI in the Enterprise provides the frameworks, architectures, and governance models needed to deploy autonomous AI with confidence.
This is not a book about building another AI model.
It is a book about building organizations that can trust the AI they deploy.