AI Vendor Assessment for INTL

INTL-specific obligations covered

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

• OECD Recommendation of the Council on AI (OECD AI Principles, 2024 update)international_framework · Voluntary

  Adherent countries and their organisations are expected to implement five value-based AI principles — inclusive growth, human rights, transparency, robustness and safety, and accountability — and to report on implementation through the OECD AI Policy Observatory.

• UN General Assembly Resolution — Seizing the Opportunities of Safe, Secure and Trustworthy Artificial Intelligence Systems for Sustainable Development (A/RES/78/265, 21 March 2024)international_resolution · Adopted

  UN member states are encouraged to develop national AI governance frameworks, engage in international cooperation on AI safety and interoperability of governance standards, and ensure AI systems are developed in a manner consistent with international human rights law.

• Council of Europe Framework Convention on AI and Human Rights (CETS No. 225, 2024)international_treaty · Open for ratification

  State parties must implement legislative or other measures to ensure AI system activities respect human rights, establish oversight and remedy mechanisms for AI-related harms, and prohibit or restrict AI activities incompatible with democracy or the rule of law.

• ISO/IEC 42001:2023 — Artificial Intelligence Management System (AIMS)international_standard · Published

  Organisations implementing ISO 42001 must establish AI governance policies and objectives, define organisational roles for AI accountability, conduct AI impact and risk assessments, and implement operational controls to address AI risks across the full AI system lifecycle.

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 = INTL), and download your tailored document immediately.

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