Production Readiness Criteria
What signs show an AI agent is not ready for production deployment?
Several clear technical and operational indicators show an AI agent is not ready for broader production deployment. These include lack of support for unattended operation, missing persistent execution logs, no built-in failure recovery mechanisms, no controlled shutdown capabilities, unenforced resource limits, and unclear ownership of production agent workflows. These flags do not necessarily rule out the agent’s use for limited production workloads.
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.
