Which production workflows are a strong fit for Dapr Workflow?

Strong fits for Dapr Workflow include long-running processes, multi-step business tasks, human-in-the-loop flows, resilient service coordination, and AI agent tasks that need durable progress. These workflows often include retries, timers, state, external service calls, or failure recovery requirements. Dapr Workflow is useful when teams want workflow capabilities within the same runtime that also provides service invocation, pub/sub, state, secrets, and other distributed application APIs. For Diagrid content, this should connect naturally to Catalyst when the workflow is part of production AI agent infrastructure, and to Dapr Support when the focus is operating Dapr itself.