OPERATING AUTONOMOUS AI

What happens when software can finally take action?
For years, enterprise AI has been an advisory tool summarizing documents, drafting emails, and answering questions while a human always remained the one to press the button. That boundary has been crossed. Autonomous AI agents can now receive a goal, gather context, choose among tools, execute workflows, observe results, and continue until a task is complete.
While the promise of enterprise autonomy is immense, intelligence is becoming easy to obtain while safe, governed authority remains difficult to design. Without the right architecture, a powerful model connected to the wrong data, equipped with excessive permissions, or released without clear ownership can become an expensive source of uncertainty.
Written for CIOs, CISOs, enterprise architects, AI program leaders, and business strategists, Operating Autonomous AI provides a comprehensive framework for designing, governing, securing, and scaling agentic systems. Moving beyond vendor hype and model internals, this book establishes the durable operating discipline needed to turn isolated AI experiments into governed, production ready enterprise capabilities.
Inside, you will discover:

• The Six Layers of Enterprise Autonomy: A diagnostic lens covering Value, Intelligence, Action, Coordination, Control, and Operations.
• The Enterprise Autonomy Scale: A practical framework for determining how much authority a system deserves from observation and recommendation to bounded execution and governed autonomy.
• The Agent Opportunity Test: A disciplined method for evaluating when work is worth agentifying and when deterministic software or AI assistance is the right choice.
• Agentic Security & Identity: How to give every agent a verifiable identity, enforce least agency, defend against prompt injection and memory poisoning, and protect tools and credentials.
• Executable Governance & AgentOperating Contracts: Turning broad corporate policies into runtime controls, approval thresholds, and operational specifications.
• AgentOps & the Control Plane: How to manage the full agent lifecycle, track dependencies in an enterprise registry, monitor costs per successful outcome, and handle incident response.