Operations & Production
AI Agent Governance — Production Checklist Before Any Write Path
Malaysian SMEs ask if AI agents are safe to deploy. Our production governance checklist: permissions, audit logs, human approval, and rollback — before MCP goes live.
"Can we let AI update our CRM?" is the wrong first question. The right one: "Who approves, what is logged, and how do we roll back?"
Governance gates we enforce
| Gate | Question |
|---|---|
| Scope | Which systems can the agent read vs write? |
| Identity | Service account per environment — never personal OAuth |
| Approval | Which actions require human click before post? |
| Audit | Full log of prompt context hash, tool called, user who approved |
| Rollback | Can we revert CRM/accounting writes within SLA? |
| Data class | What never leaves Malaysia / never hits public models? |
Skip any gate → pilot, not production.
MCP-specific controls
MCP standardizes connectors — it does not remove accountability. We:
- Whitelist servers per role
- Disable destructive tools by default
- Rate-limit write operations
- Separate dev/staging/prod tokens
Read our LLM + MCP paperwork guide for business context; this article is the ops security layer.
Download the full study
Our client study From Pilots to Production walks leadership through failure patterns — free download on Studies.
What to do next
Book a discovery call — we will tell you if you are not ready for write paths yet.