AI Agent Approval Dossier

Agents are proposed faster than governance can examine them. Approvals become signatures on summaries nobody can trace to evidence.

AI governance, security and risk functions preparing approval decisions for agents that read data or trigger actions.

What is this agent allowed to touch, what evidence supports that, and what exactly are we approving?

Not connected by default. Each source is scoped and authorized per engagement.

• Agent design and tool list
• Identity and permission model
• Data classification and handling policy
• Evaluation results and known limitations

• Extract declared permissions and tools from the specification
• Compare requested access against policy and data classification
• Collect and cite supporting evidence; list what is missing
• Draft the proposed approval scope and conditions

• Cannot grant or change permissions
• Does not certify compliance with any regulation
• Flags gaps rather than assuming evidence exists

The named approver decides the approval scope. The dossier supports that decision; it never replaces it.

• Permission inventory
• Policy comparison
• Evidence register with gaps
• Proposed approval scope and conditions

• Every permission maps to a stated purpose
• Missing evidence is explicit
• Approver decision and date are recorded

Proposed measures to baseline during a pilot. These are not reported results.

• Permissions with documented purpose

  Share of requested permissions that trace to a stated need.

• Review preparation effort

  Compared with current manual dossier preparation.

• A defined agent specification template
• Applicable AI and data policy
• An accountable approver