Why AI Procurement Needs Verifiable Supplier Evidence
What buyers should request, what independent verification means and how to build an auditable AI supplier evidence register.
AI buyers need more than a supplier questionnaire. They need evidence that can be traced to the product, the intended use and the controls actually operating. A vendor description, an independent examination and a verified customer report are different types of information; treating them as interchangeable can lead to poor purchasing decisions.
What evidence should buyers request?
Start with six questions:
1. Who is responsible? Confirm the contracting entity, the product owner, material subcontractors and accountable contacts. 2. What AI is in scope? Document the intended purpose, model dependencies, version, material limitations and where AI influences decisions. 3. What happens to data? Ask for data flows, retention periods, subprocessors, access controls and whether prompts or customer data can be used for training. 4. How are claims tested? Request evaluation methods, representative test results, security assessments and monitoring arrangements, with dates and scope. 5. What human oversight exists? Identify approval points, escalation processes, override mechanisms and the evidence that people can use them. 6. What changes after purchase? Agree notification arrangements for material model changes, incidents, newly discovered limitations and termination or exit.
A checklist structures the discussion; it does not itself prove that a safeguard works. A useful procurement record should say who supplied each item, when it was reviewed, which system it covers and whether the evidence was independently examined.
Four evidence levels that buyers should keep separate
Supplier-stated information is helpful for discovery but is not independent verification.
Supporting documents can demonstrate policies, architecture, contractual commitments or testing, but buyers must still check scope and currency.
Independent examination provides an additional perspective on particular claims or controls. Its meaning depends on the published scope, methods, limitations and date.
Verified customer experience may show how a service performs in practice when the customer and supporting evidence have genuinely been verified. An empty reviews section is not a verified customer endorsement.
AI TrustMark distinguishes directory inclusion from verification and assurance outcomes. Its Bronze, Silver and Gold levels describe different depths of examination, not a guarantee of suitability for every use case. Buyers remain responsible for their own procurement and deployment decisions.
How UK guidance fits together
PPN 017 provides optional questions to improve transparency about AI in procurement. It is a starting point, not a substitute for vendor due diligence.
The UK Government AI Playbook offers additional context for selecting and using AI responsibly. The NCSC addresses security across the AI lifecycle. Relevant ICO guidance should be consulted where personal data is involved.
These resources serve different purposes and should not be represented as endorsements or approvals of a commercial trustmark.
A practical procurement evidence register
For each material supplier claim, record:
| Field | What to capture | | --- | --- | | Claim | Exact statement being evaluated | | System scope | Product, version, deployment and intended purpose | | Evidence | Document, demonstration, test or other verifiable material | | Provenance | Source, author and date | | Reviewer | Named person or organisation that examined it | | Finding | Supported, partly supported, not evidenced or not assessed | | Review date | When the finding should be revisited |
This makes the assessment more reusable when software, model providers or operating conditions change.
What should buyers do next?
Use the AI supplier due-diligence checklist to organise your evidence request. Read how AI TrustMark assesses claims, explore the assurance approach, and use the verification page to check any published status.
For AI suppliers: start by identifying the exact product and evidence you can substantiate. Start an assessment when you are ready to have your claims examined. Paying for an assessment does not guarantee a mark or outcome.
Frequently asked questions
Is a supplier listing proof that its AI has been independently verified?
No. Directory inclusion, supplier claims and independently verified assurance are distinct.
Does ISO/IEC 42001 automatically make an AI product suitable for my use case?
No. A management-system standard and a product-specific procurement decision address different questions. Check the certification scope and the controls relevant to your intended use.
How frequently should supplier evidence be reviewed?
Review it when material model, data, risk, supplier or service changes occur, and on a risk-appropriate routine schedule. There is no universal review interval.
Published by AI TrustMark. This article provides general procurement information, not legal advice or a claim of government approval.