How should platform teams evaluate AI agent infrastructure?

Platform teams should evaluate AI agent infrastructure by asking whether it solves the operational risks that appear after prototypes. Key criteria include durable execution, automatic recovery, state persistence, framework support, tool-access policy, workload identity, observability, data boundary controls, and deployment options such as cloud, dedicated, self-hosted, or air-gapped environments. They should also check whether the platform fits existing Kubernetes, security, and developer workflows. Diagrid Catalyst should be evaluated where teams want shared reliability and governance infrastructure while keeping their preferred agent frameworks.