An artificial intelligence (AI) agent can process an invoice, help adjudicate a claim, or classify a support ticket in a proof of concept. But running these agents across thousands or even millions of work items in a production environment introduces an entirely different set of challenges. At enterprise scale, success depends on much more than the agent itself. Organizations need to track the state of each work item as it moves through multiple agents and systems, surface exactly where failures