Scaling agentic workflows with native case management in Amazon Quick Automate | Amazon Web Services
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 occur and why, allow a human to step in when needed, and scale the infrastructure dynamically based on demand. Amazon Quick Automate addresses these operational challenges through case management. Every work item is represented as a case that persists throughout its lifecycle, providing step-by-step visibility into workflow state, supporting human-in-the-loop processing where judgment is needed, and enabling parallel execution so teams can orchestrate agents to automate business processes at...
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