What should a production AI agent deployment platform include?

A production AI agent deployment platform should include durable workflow execution, reliable recovery, state management, observability, identity, access policy, and clear deployment models. It should also support the agent frameworks teams already use, rather than forcing all teams into one authoring stack. For enterprise environments, the platform should help security teams understand which agent acted, what tool it called, and what happened during the run. Diagrid Catalyst is designed around this production layer: agents and workflows can run with durable execution, secure service communication, tracing, and governance controls across customer infrastructure.