AgenticOps Engineering: Run Agents Like You Run Critical Enterprise Apps
By Vincent Froom
Autonomous AI agents are no longer experimental—they’re operational.
From virtual assistants in healthcare and finance to educational tutors and customer service bots, intelligent agents are influencing real-world decisions with unprecedented speed and scale. But while their capabilities have grown, the industry’s ability to manage them safely has not kept pace.
AgenticOps Engineering introduces a bold new discipline for building, deploying, and governing AI agents with the same rigor, oversight, and accountability used in critical enterprise software. Vincent Froom—creator of the SCAB Protocol and a leading voice in agent safety—provides a hands-on framework for aligning technical performance with ethical responsibility.
You’ll learn how to:
Evaluate agents using behavioral protocols, not just outputs
Monitor agents with observability stacks and trace logs
Apply hard and soft guardrails to prevent misalignment
Protect against prompt injection, tool misuse, and emergent risks
Scale with CI/CD pipelines tailored to adaptive systems
Prepare for global AI regulation with transparency and resilience
With real-world case studies, visual models, and a healthy dose of urgency, this book is essential reading for developers, policymakers, safety researchers, and anyone deploying AI agents in production systems.
“We don’t just need smarter agents. We need stronger operations.”
About the Author
Vincent Froom is a Canadian technologist, ethicist, and founder of SCAB Machine Intelligence, a research and software initiative focused on building safe and transparent autonomous AI systems. He is the creator of the SCAB Protocol, a behavioral evaluation framework used to assess the alignment and trustworthiness of LLM-powered agents across industries.
Froom has spent over a decade at the intersection of AI safety, software architecture, and ethical governance. His work explores how to operationalize emerging technologies—moving beyond prototypes and into production systems that people can trust. Through books like Testing Minds, Building Walls and now AgenticOps Engineering, he advocates for a new kind of discipline in AI development: one that treats agents not just as tools, but as decision-making systems with real-world impact.
He lives in Vancouver, where he splits his time between debugging rogue agents, writing on machine ethics, and hiking coastal trails while pondering the difference between hallucination and prophecy.