AI policy and approvals insights.
Articles, checklists, and operating guidance in this category.
How to create an AI approval workflow
A good AI approval workflow routes systems by actual risk, leaves a decision trail, and gives teams a clear path to launch without bypassing governance.
What approvals should high-risk AI agents require?
High-risk AI agents should require approvals from business, technical, security, privacy, legal, compliance, and risk owners before production use.
Human-in-the-loop controls for AI agents
Human-in-the-loop control is effective only when the reviewer has authority, context, time, and a clear decision point before meaningful action occurs.
AI policy templates for autonomous agents
An AI agent policy should define allowed uses, prohibited uses, autonomy limits, data rules, approvals, monitoring, incidents, and change management.
How to enforce AI governance policies in production
AI governance policies are enforceable in production only when they become approval gates, runtime controls, monitoring rules, and change triggers.