About Orchestrating Agentic AI Systems and Workflows That Humans Can Trust
Agentic AI demos make autonomy look easy. Production systems tell a different story. In my new Enterprise AI World article, “Orchestrating Agentic AI Systems and Workflows That Humans Can Trust,” I argue that orchestration must become part of the enterprise operating model, not merely a mechanism for routing tasks among agents. Reliable systems start with well-understood workflows, bounded responsibilities, explicit handoffs, observable execution, and early intervention when small errors could propagate.
Trust also depends on treating context as infrastructure and making governance travel with every action. Agents require current, controlled information, narrowly scoped permissions, and clear escalation paths—but none of those controls transfer accountability to the technology. Humans still define intent, judge consequences, and determine whether the work is accurate, timely, and fit for purpose. The goal is not to remove people from the loop; it is to design better loops and place human judgment where failure matters most.
🔗 Read the full article: Enterprise AI World.
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