AI GOVERNANCE REVIEW NOTES
Find AI Consultants — https://findaiconsultants.com.au/guides/ai-governance-implementation
Worksheet edition: 19 October 2026. Entries are self-recorded and have not been verified.
Use high-level or synthetic descriptions. Store your exported copy appropriately.

USE-CASE REVIEW NOTES
UC-1
Use case / task: [Not recorded]
Accountable owner role: [Not recorded]
Tools and supplier references: [Not recorded]
Data categories and affected people: [Not recorded]
Boundaries and human controls: [Not recorded]
Evidence and unresolved risks: [Not recorded]
Decision record: [Not recorded]
Next action, owner and review point: [Not recorded]

SUPPLIER REVIEW NOTES
SUP-1
Supplier / product / version: [Not recorded]
Internal review-owner role: [Not recorded]
Intended use and linked use cases: [Not recorded]
Data handling and access questions: [Not recorded]
Supplier evidence and terms: [Not recorded]
Support and accountability: [Not recorded]
Ownership, change and exit: [Not recorded]
Next action, owner and review point: [Not recorded]

NEXT-ACTION AGENDA — YOUR NOTES, NOT AN ASSESSMENT
UC-1 — [Next action / owner / review point not recorded]
SUP-1 — [Next action / owner / review point not recorded]

REVIEW BEFORE RELYING ON THESE NOTES
Missing answers stay unknown. A recorded decision does not authenticate approval,
verify evidence, classify risk, establish compliance or authorise deployment.
Use-case/supplier references are manual; recheck them after renaming or removing entries.
Keep the organisation's authoritative records, policy, impact/risk assessments,
test evidence and incident processes in its approved systems. This worksheet is
not a replacement for those records or specialist review where needed.

OFFICIAL STARTING POINTS
Policy: https://www.ai.gov.au/staying-safe-and-responsible/essential-ai-practices/create-ai-policy
Register: https://www.ai.gov.au/staying-safe-and-responsible/essential-ai-practices/ai-systems-register
Guidance: https://www.ai.gov.au/staying-safe-and-responsible/essential-ai-practices/guidance-ai-adoption-foundations