What Should an AI Governance Committee Record Before It Approves a System?

In short: before an AI governance committee approves a system, it should record what it decided, the authority it decided under, the evidence it relied on and what was missing, the conditions and who owns each one, who accepted the remaining risk, any dissent, and what will bring the decision back. A record like this is what lets the organisation explain the decision months later to an auditor, a regulator, a customer or its own board.

This guide is a companion to What Is an AI Governance Committee?. It gives a copyable decision record with a worked fictional example, and it ends with the gaps we see most often in committee records.

Why the record matters

Committee meetings end, but the decisions outlast them. When something goes wrong with an approved system, the first questions are always the same: who approved it, on what basis, under what conditions, and did anyone check those conditions. Meeting notes rarely answer all four. A standard record does.

No law or framework prescribes this exact form. The NIST AI Risk Management Framework, which is voluntary, calls for documented roles, accountability and decision processes across the AI lifecycle, and ISO/IEC 42001 treats AI governance as a management system. A decision record is one practical way to produce that documentation for the decisions that matter most.

What to record, field by field

• What exactly was approved. The system and its inventory ID, plus the version reviewed: model, vendor release, configuration and data sources. Approving a chatbot by name does not approve next quarter's different version of it.
• The decision and the question. The exact decision requested, and the outcome: approved, approved with conditions, deferred, rejected or escalated.
• Authority. Who decided and which part of the charter or delegation gave them the power to. If the committee could only recommend, record who made the final call.
• Attendance and conflicts. Who was present, whether quorum was met, and any declared interests and recusals.
• Evidence, and its gaps. Each document relied on, with its author, date and version, and anything that was asked for but not available.
• Specialist conclusions. What legal, privacy and security concluded, who gave each view and when. The committee does not overrule these; it builds them into its decision.
• Conditions. Each with one owner, a due date and the evidence that will show it is done.
• Residual risk. A plain statement of the risk that remains, and the name and title of the person who accepted it, with the limit of their authority.
• Dissent. Any minority view, written down. A record with no recorded disagreement over years of decisions is itself worth a question.
• After launch. Monitoring measures and thresholds, the expiry or re-review date, and the events that trigger an early review.

A decision record you can copy

This is an editorial implementation example written by GRC Careers. It is not a NIST, ISO or regulator template. Adapt it to your own charter and legal advice.

AI GOVERNANCE COMMITTEE DECISION RECORD
(Editorial implementation example by GRC Careers. Not a NIST, ISO or regulator template.
 Adapt it to your own charter and legal advice.)

1. Record ID and date of decision:
2. System name and AI inventory ID:
3. Version reviewed (model, vendor release, configuration, data sources):
4. Business owner (name and title):
5. Intended purpose, users and affected people:
6. Risk tier and the reason for it:
7. Decision requested (exact wording put to the committee):
8. Decision: Approved / Approved with conditions / Deferred / Rejected / Escalated
9. Decision-maker and the source of its authority (charter section or delegation):
10. Members present, quorum met (yes/no):
11. Conflicts declared and recusals:
12. Evidence considered (each item with author, date and version):
13. Evidence missing or limited, and how that was handled:
14. Conclusions from legal, privacy and security (who gave each, and when):
15. Conditions (each with one owner, a due date and the evidence that will close it):
16. Residual risk statement:
17. Residual risk accepted by (name, title, and the limit of their authority):
18. Dissent or minority view, if any:
19. Monitoring required after launch (measures and thresholds):
20. Expiry or re-review date:
21. Re-review triggers:
22. Escalation (to whom, when, outcome), if any:
23. Record owner and retention period (per records policy):

A worked example (fictional)

Riverbend Housing Authority is an invented public housing agency. Every detail below is fictional and exists only to show how a completed record reads.

Notice what the record makes possible. If tenants who write in Spanish start waiting longer for urgent repairs, anyone can see that the committee knew performance by language was untested, who owned closing that gap, by when, and who accepted the risk in the meantime.

Gaps we see most often

• No version: the record approves a product name and never says which configuration.
• Conditions with no owner or date, so nobody closes them.
• Residual risk "accepted by the committee", with no person named and no check that the risk was within the committee's authority.
• No expiry, so a pilot approval quietly becomes permanent.
• Evidence named but not kept, so the record cannot be checked later.
• Recusals made in the room but never written down.

Where the record fits

The decision record sits beside the organisation's other governance tools. The AI inventory says what systems exist and who owns them. The risk assessment and any vendor assessment supply the evidence. The AI risk register carries the accepted risks forward. The people who usually prepare and keep these records are AI governance analysts and specialists, working for an AI governance manager.