Question 1

How do I know whether my AI agent is ready for production?

Accepted Answer

Check for readiness across five areas: architecture, orchestration, observability, governance, and rollout strategy. If one of those is missing, your agent is not truly production-ready.

Question 2

Where should I start if my current stack is mostly DIY scripts?

Accepted Answer

Start by separating orchestration from core agent logic, then add tracing and metrics, and finally standardize access control and release processes.

Question 3

Do I really need a control plane for AI agents?

Accepted Answer

Not on day one for every experiment. But once you have multiple agents, tools, workflows, and teams, a control layer becomes essential for consistency, visibility, and governance.

Question 4

Which production gap is most often underestimated?

Accepted Answer

Observability and governance are often underestimated the most, even though they are the foundation for reliable scale and organizational trust.

Why Are Your AI Agents Still Stuck in Prototype? 5 Common Production Gaps