Check these points before AI content operations vendor due diligence

What to take away

Decide the single buying decision the review must support, then score vendors only against that decision.
Ask each supplier to map its AI risk claims to a published framework, not to its own marketing page.
Test how the tool retrieves and ranks your own content, because retrieval quality decides output quality.
Check the distribution side separately, since a drafting tool that cannot reach your audience is half a system.
Keep a written evidence file for each vendor so the decision survives a later audit.

Set the decision first

Due diligence fails when it becomes a general tour of the market. Write one sentence naming what you are choosing: a drafting layer, a retrieval layer, a distribution layer, or a full platform. Every question below should earn its place against that sentence.

A checklist without a decision behind it turns into a feature comparison, and feature comparisons reward whichever vendor has the longest list. Ask the budget holder to sign the sentence before you approach suppliers.

If you have not yet framed the buying decision, work through the AI content operations tools and supplier guide first. It sets out the categories you are choosing between.

Run the checks in order

Vendor due diligence sequence

Confirm decision in writing
Collect AI risk documentation
Ask how content is stored
Request retrieval test on pages
Check distribution route
Score vendors on criteria
Set review and exit triggers

Confirm the decision in writing, with the budget holder's name against it. If you are still forming a shortlist, compare relevant options such as Jasper, Writer and ChatGPT Enterprise against the same questions; treat them as examples, not recommendations, and verify each product's current scope.
Request each supplier's written AI governance and risk documentation, including intended uses, limitations, human review, testing and incident handling. Compare it with the NIST AI Risk Management Framework FAQs and ISO/IEC 42001; check whether the EU AI Act applies to your use or market, rather than treating it as a UK-wide substitute for other duties.
Map what content and personal data the tool processes, where it is handled, whether it is used to train models, and how it is retained or deleted. Check the supplier's UK GDPR and Data Protection Act 2018 position, its data processing agreement, sub-processor list and any international-transfer safeguards.
Ask how the product stores and retrieves your content, then read Microsoft's guidance on choosing a search data store so you can judge the answer. Request a retrieval test on your own pages and evidence showing how outputs relate to their source material.
Check the distribution route, including paid reach, against LinkedIn's marketing tools if that channel matters to you. Ask the supplier to demonstrate the publishing integrations you actually need, such as WordPress or HubSpot, and verify permissions and connector availability.
Score every vendor against the same weighted criteria and record the evidence, including security assurance and a written quote covering seat minimums, overages and renewal terms.
Set a review date and the conditions that would trigger an exit, including how you will retrieve or delete content and revoke access.

Evidence to demand

Ask for the retrieval method in plain language. A supplier that cannot explain how passages are selected is asking you to trust an output you cannot audit. For each shortlisted tool, require a product-specific demonstration and evidence; a general tools roundup cannot establish supplier suitability.

Ask for security assurance artefacts, not a general assurance statement: an ISO/IEC 27001 certificate and its scope, a SOC 2 report if available, a penetration-test summary, the incident-response process, and evidence of access controls and encryption. Check the artefacts' scope, date and exceptions; a certificate or report is evidence to assess, not a guarantee.

Establish whether the supplier is a processor, controller or both for each data flow, and record the roles and lawful basis. For processing on your behalf, require written processor terms in a data processing agreement under UK GDPR Article 28, including documented instructions, confidentiality, security, sub-processors, help with individual rights and breaches, and return or deletion at exit. Obtain the sub-processor list, processing locations, international-transfer safeguards, retention and deletion schedule, and a clear answer on model training; align retention with UK GDPR's storage limitation principle and ICO retention guidance.

Use ICO guidance to check whether your organisation must pay the ICO data protection fee, including any exemption. Carry out a DPIA where processing is likely to result in high risk, following ICO DPIA guidance.

Score against your own content

Run the same three tasks through every shortlisted tool: one long guide, one product page, one regulated or sensitive topic. Time each task and record where a human had to correct the output. Treat the £400-a-month example as hypothetical rather than a vendor quote; compare the quoted licence cost with editing time, since two hours of weekly editing could outweigh the licence saving.

Score accuracy, tone and time to publish separately. A tool can win on one and lose badly on another, and one blended score hides that.

Watch the commercial terms

Request a written quote that states the licence basis, seat minimums, overage charges, any setup or support charges, renewal terms, automatic renewal and notice period. Ask what happens to your content if you leave, including export formats, continued usability of drafts and deletion from the supplier's systems. Confirm the minimum commitment and exit terms in writing before procurement signs.

Ask for the year two price in the contract rather than an email. Introductory pricing that resets at renewal changes the whole comparison.

Common questions

How long should vendor due diligence take?

For a single category, two to three weeks is realistic if the decision is already written down. Add a week for each extra category you are comparing.

Do we need a formal AI risk assessment?

Not for every tool or use. Where personal data processing is likely to result in high risk, UK GDPR requires a DPIA; use ICO DPIA guidance and assess the relevant Data Protection Act 2018 duties. ISO/IEC 42001 or the NIST framework can inform wider risk governance, but neither replaces applicable legal duties.

What is the most common mistake?

Testing tools on demo content. Your own pages expose retrieval and tone problems that a curated sample will hide.

Should legal review the contract?

Yes, particularly data retention, training rights and exit terms. Procurement alone rarely covers those clauses.