Decision moment
What belongs in an AI agent governance checklist?
Agent Governance Checklist
Decision assetAI Agent Governance Checklist
AI agent governance checklist for tool access, permissions, human approval, logging, escalation and stop rules before pilot.
What belongs in an AI agent governance checklist?
Short answer
An AI agent governance checklist connects the agent permission model, tool boundaries, human approval, logging, escalation and stop rules. It decides whether an agent may only prepare, trigger with approval or act autonomously.
Cluster
AI Agent Governance
Recommended path
AI Agent Governance
Tirion method
How this decision becomes workable
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
What leadership should score before action
Agent permissions
Which actions may the agent suggest, prepare or trigger?
Human approval
Which steps need visible approval?
Logs
Which inputs, tool calls, decisions and overrides must remain reviewable?
Stop rule
When must the agent pause or escalate?
Red flags
Signals that the page should lead to governance before build
- The checklist asks only about privacy, not actions.
- Reviewers are not named.
- Tool boundaries are missing or only prompt rules.
- There is no stop signal for uncertain cases.
Decision questions
Questions to answer before the next move
Which tools are truly needed for the first pilot?
Which action must never run autonomously?
Who reviews errors, overrides and escalations?
Which log proves why the agent acted?
Tirion artifacts
Outputs this work should create
Each page points toward concrete material leadership can review, not abstract advice.
A matrix for reading, suggesting, writing, triggering and escalating.
An approval path for actions with customer, data or compliance impact.
A reviewable list for allowed tools, blocked actions, logs and stop signals.
Example pattern
A practical decision pattern
An agent pilot is technically possible, but permissions, tool access and approvals are not yet binding decisions.
Tirion compresses approval into a checklist with permission classes, review gates, logging requirements and escalation path.
The agent starts only with documented boundaries, named reviewers and a clear stop signal.
Related pages in this cluster
AI Agent Governance
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