AI Vendor Assessment for UK

UK-specific obligations covered

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

• UK General Data Protection Regulationlegislation · In force

  Process personal data lawfully, fairly, and transparently per Art. 5; establish a lawful basis under Art. 6; provide subject-rights mechanisms (access, rectification, erasure, portability, automated-decision objection); report personal data breaches to the ICO within 72 hours of awareness; conduct a Data Protection Impact Assessment for high-risk processing including automated decision-making with significant effects.

• UK Data Protection Act 2018legislation · In force

  For law-enforcement processing: comply with Part 3 (six data-protection principles, lawful basis under s.35, automated-decision safeguards under s.49-50, breach notification). For special-category or criminal-offence data processing: meet a Schedule 1 condition (the lawful-basis requirement under UK GDPR Art. 9/10 alone is insufficient). For intelligence services: Part 4 framework. ICO has investigatory powers under Part 5 + monetary-penalty powers under Part 6 (up to £17.5m or 4% of global turnover).

• Online Safety Act 2023legislation · In force

  In-scope services must conduct risk assessments, implement proportionate safety measures for illegal and harmful content including AI-generated material, and comply with Ofcom codes of practice on algorithmic content distribution.

• UK Pro-Innovation AI Regulatory Framework (2023 White Paper)policy_framework · In force

  Regulated sector organisations must consider and embed five AI principles — safety and security, transparency and explainability, fairness, accountability and governance, and contestability and redress — as implemented by their sectoral regulator.

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 = UK), and download your tailored document immediately.

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