What do auditors need from AI governance records?
Internal and external auditors reviewing AI governance are not assessing intent — they are assessing evidence. They need: a complete system inventory, screening records with classification reasoning, obligation mapping with evidence status, documented approvals with attribution, and versioned records that show the governance state at the time of each decision.
The records must be reconstructable independently of the people who created them. If the governance story depends on someone's memory of what happened, it is not audit-ready.
Key points
- Auditors look for structural completeness: every AI system registered, every system screened, every obligation mapped, every evidence gap identified.
- Attribution is essential. Who made the decision, when, and on what basis must be documented per governance step.
- Versioned records must show the state at the time of decision — not just the current state after subsequent changes.
- Non-applicability must be documented as a governed decision, not left as an empty field.
- The audit trail must be immutable. Records that can be retroactively modified without trace are not governance records.
Why it matters
The gap between what organizations think auditors need and what auditors actually examine is significant. Many organizations prepare narrative explanations of their compliance approach. Auditors want structured evidence: records, timestamps, attributions, evidence links, and versioned snapshots. Understanding this gap before the audit — not during it — is the difference between readiness and remediation.
How EAB approaches this
EAB provides Auditor Visibility — read-only access to the complete governance record. Audit-Ready Traceability ensures every governance action is logged with attribution. Versioned Records preserve the decision state at each point in time. The record structure matches what auditors examine, not what organisations typically prepare.