Build EU AI Act evidence across Copilot Studio and other AI tools
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Create one current record for every AI system, covering its purpose, data reach, owner, risk class and last review across vendors.
TL;DR
Record every AI system and agent, including Microsoft 365 Copilot, Copilot Studio and SharePoint agents, with its purpose, reachable data, accountable owner, risk class and last review. Apply the same inventory, classification and confirmation cycle to external tools such as Claude Enterprise and ChatGPT Enterprise, then produce scheduled reports auditors can follow.
Original by Rencore, on Rencore. Read the original
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Record each agent’s purpose, knowledge sources and connectors so its data reach and accountability are clear.
- Admins/CoE: Inventory Copilot, Copilot Studio, SharePoint and external AI tools in one register, then schedule owner confirmations and reports.
- Security/Compliance: Classify systems by how they are used and retain evidence of oversight, monitoring and transparency duties where applicable.
- Leadership/Business: Require named ownership and retire agents without an owner or continuing purpose to reduce unaccountable AI risk.
Frequently asked questions
How should Copilot Studio agents be documented for the EU AI Act?
Document each Copilot Studio agent’s purpose, reachable data, owner, risk class and last review. Include its knowledge sources and connectors.
Does the EU AI Act require records for Claude and ChatGPT Enterprise projects?
Yes. The same record should cover external AI tools because the Act applies according to use and risk, regardless of vendor.
How often should AI system owners confirm their governance records?
Owners should confirm records at fixed scheduled intervals. Retire agents without an owner or purpose, and record each decision.
