Overview

AI agents are moving quickly from impressive demonstrations into real business operations. But without orchestration and governance, they can create drift, confusion, broken handoffs, compliance exposure, and systems that move faster than human accountability. Agent Orchestration and Governance is a practical guide to building AI-native systems that do more than automate isolated tasks. It explains how organizations can coordinate agents, humans, workflows, business rules, tools, and decision logic into systems that preserve intent and produce trustworthy outcomes. Larry Mitchell, Founder and CEO of NeurasSoft Solutions, presents a clear framework for understanding the difference between scattered AI features and governed AI operating models. The book explores why agentic systems need continuity, grounding, escalation paths, role clarity, auditability, and human judgment built into the structure from the beginning. Inside, readers will learn how to think about: - Agent orchestration as the coordination layer between intelligence and action - Governance as the safeguard against drift, hallucinated authority, and uncontrolled automation - Procedural intent, semantic intent, and decision intent as foundations for reliable AI systems - Human-in-the-loop supervision and exception-based oversight - The risks of deploying AI agents without durable business logic - Why AI-native organizations must treat intelligence as part of the operating model, not just a product feature This book is written for founders, executives, consultants, product leaders, AI builders, technologists, and organizational decision-makers who want to move beyond AI hype and build systems that are useful, accountable, and durable. Agent Orchestration and Governance offers a grounded way to think about the next phase of AI adoption: not just smarter tools, but better-governed systems.

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