Decision moment
When does an AI agent need human approval?
Human Approval
Problem pageDefine human approval for AI agents with review gates, escalation paths and stop rules before agents trigger actions.

When does an AI agent need human approval?
Human approval is needed when an agent changes data, prepares decisions, triggers external communication or works with sensitive sources.
When does an AI agent need human approval?
AI Agent Governance
AI Agent Governance
Tirion method
The page is built as a decision surface, not as a generic article. The goal is to make scope, risk and next move visible.
Which tools, data and actions an agent may actually use.
Which decisions are prepared, reviewed or blocked.
Which logs, escalations and stop rules keep the agent controllable.
Scorecard
Which agent action has low, medium or high impact?
Who can make the subject-matter decision?
When should the agent stop instead of continue?
Red flags
Decision questions
Which decisions must never be fully automated?
How fast can review realistically happen?
Which exception escalates to leadership?
Tirion artifacts
Each page points toward concrete material leadership can review, not abstract advice.
One page with risk, value, owner, non-goals and the next move.
A reviewable matrix for data, risk, effort, readiness and leadership control.
A 30/60/90 path with approvals, pilot boundary and accountable owners.
Example pattern
An agent should move faster, but the organization cannot transfer accountability to automation.
Tirion defines review gates, escalations and stop rules by risk class.
The agent may prepare and recommend, while critical steps remain visibly approved.
Related pages in this cluster
AI Agent Governance
Agent PermissionsAI Agent PermissionsWhich permissions should an AI agent have?
Tool BoundariesAI Agent Tool BoundariesHow do you limit AI agent tool use?
Agent Governance ChecklistAI Agent Governance ChecklistWhat belongs in an AI agent governance checklist?
Start now
Use the AI & Cloud Leakage Score to identify the right starting point, owner model and next decision.