What infrastructure is needed for multi-step approval chains in production AI agent systems?

Multi-step approval chains need infrastructure that treats waiting as a normal state. Each approval should have durable context, clear ownership, audit evidence, and a safe continuation path. Diagrid Catalyst can support this pattern by coordinating workflow progress while connecting to services through managed Dapr APIs and exposing execution status to operators. Teams should design for rejected approvals, expired requests, and changed inputs while the workflow is paused. The important question is not only whether the agent can wait, but whether the organization can trust what happens after the wait ends.