Production Readiness Criteria
What questions belong in an AI agent production readiness review?
A production readiness review for AI agents should center on operational stability and targeted risk mitigation. Ask about critical failure recovery workflows, audit trails, access controls, resource limits, full agent stack shutdown and teardown procedures, and confirm all key cross-team dependencies are clearly documented and aligned across relevant teams. Keep in mind this review cannot substitute for ongoing post-deployment monitoring of the deployed AI agent stack.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Production Readiness Criteria
How do I tell a prototype AI agent apart from a production-ready deployment?
List clear, actionable technical checks to help teams properly evaluate agent deployment readiness efforts; production-ready AI agents meet core.
- Production Readiness Criteria
What changes when an AI agent runs without continuous human oversight?
This article explains how running an AI agent without continuous human oversight alters required critical safeguards and key operational support protocols
- Production Readiness Criteria
Who owns production readiness capabilities for AI agent deployments?
Clarify which production responsibilities fall to agent code vs the underlying execution platform; teams must align on these task splits during initial.
