Agentic AI

Volume 16 of The Agentic AI Handbook. This volume provides a comprehensive blueprint for scaling autonomous systems across the enterprise, focusing on cross-industry architectures and governance. It guides readers through the deployment of meta-agent controllers, multi-domain orchestration, and autonomous process orchestration (BPAN). The text details the mechanics of task arbitration, memory federation layers, and BPMN execution, ensuring that distributed AI systems communicate seamlessly through an agentic mesh architecture, unified memory graphs, and robust protocol bridges.

Moving beyond basic deployment, this book tackles the critical challenges of safety, compliance, and performance. Readers will discover how to implement cross-domain policy gates, human-in-the-loop gateways, and safety policy-as-code to mitigate risk. It explores advanced monitoring techniques featuring observability dashboards, red teaming simulators, and cost and ROI modelers. By examining emerging frameworks, protocol stacks like MCP and A2A, and industry benchmarks such as GAIA and SWE-bench, organizations can accurately evaluate their agentic ecosystems.

Designed for enterprise architects, AI engineers, and technology leaders, this volume bridges the gap between technical implementation and strategic adoption. It provides actionable enterprise adoption roadmaps, talent and team design strategies, and an analysis of the legal and regulatory landscape, preparing organizations for the ethical futures and social impact of multi-agent distributed runtimes.