AI Vendor Assessment for AU

AU-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in AU. The top frameworks cited:

• Privacy Act 1988 (as amended by Privacy and Other Legislation Amendment Act 2024)federal_legislation · In force

  APP entities must comply with the thirteen Australian Privacy Principles governing collection, use, disclosure, and security of personal information, and must notify the OAIC and affected individuals of eligible data breaches.

• Australia's AI Ethics Framework (Department of Industry)voluntary_framework · Voluntary

  While voluntary, organisations are encouraged to embed all eight AI ethics principles — human-centred values, fairness, privacy and security, reliability and safety, transparency, contestability, accountability, and wellbeing — into their AI governance practices.

• Policy for the responsible use of AI in government (DTA v1.1, 2024)government_policy · In force

  Non-corporate Commonwealth entities must designate accountable official(s) (deadline 30 Nov 2024), publish AI transparency statements (deadline 28 Feb 2025), and adopt a risk-based, transparent and accountable approach to AI per the DTA Standard for Accountable Officials and the DTA Standard for AI Transparency Statements.

• Consumer Data Right (CDR) — Treasury Laws Amendment Act 2019federal_legislation · In force

  Data holders in designated sectors must share consumer data with accredited third parties upon consumer consent and comply with CDR Rules on data quality, security, consent management, and AI-driven data analysis.

How the AI Vendor Assessment approaches this

You describe the vendor (name and product or service) and your organisation's context — jurisdiction, industry, staff size, risk appetite — and choose your alignment framework: ISO/IEC 42001:2023, NIST AI RMF, or both. The tool produces a structured, evidence-based assessment ready to hand to your procurement, legal, and information-security teams.

The Executive Summary Word document is a one-page sign-off artifact — recommendation (Approved / Conditional / Rejected), top three risk flags, top three strengths, sign-off block. The detailed Excel workbook is the working assessment instrument: 30 questions across six weighted categories, with evidence guidance, regulatory call-outs, and an auto-summing scoring sheet. Both are AI-assisted drafting aids intended to accelerate review by qualified practitioners.

What you get

• ✓ Four deliverables, three jobs: Executive Summary (.docx) for board sign-off, Detailed Workbook (.xlsx) for the working scoring (with the Evidence Request List on a dedicated tab inside it), Procurement Checklist (.xlsx) for foundational readiness — no overlap, no confusion.
• ✓ Aligned to ISO/IEC 42001:2023 Annex A or NIST AI Risk Management Framework — your choice. Every question carries the framework reference and (where applicable) jurisdiction-critical regulatory call-outs.
• ✓ Excel formulas auto-sum each category total, calculate the weighted overall percentage, and surface Pass / Conditional / Reject thresholds — procurement teams don't have to re-key or re-calculate.
• ✓ Tailored to the vendor's product category, your industry, jurisdiction, and organisation size — not a generic checklist. Designed for review and sign-off by qualified procurement, legal, or information-security practitioners.

Ready to generate?

$29 · one-time — answer a 6-question intake (including jurisdiction = AU), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages