Executive leadership
Five Pieces of Evidence to Request Before Buying an AI Platform
An executive purchasing brief that connects AI vendor claims with a scoped pilot, operational ownership and measurable acceptance criteria.
Top One Percent AI · Practical guidance with linked sources.
An AI purchasing decision should leave the leadership team with more than a persuasive demonstration. It should establish what the organization is buying, how the proposed workflow will be evaluated and who will own the result after the contract is signed.
NIST's voluntary AI Risk Management Framework addresses risk across the design, development, use and evaluation of AI systems. Its generative AI profile adds considerations including governance, testing and incident disclosure. Those resources can inform a purchasing review, but citing NIST does not certify a vendor or establish that a particular deployment is suitable. NIST framework overview, NIST Generative AI Profile.
For a practical review, request the following five evidence packages. These are recommended purchasing questions, not a universal compliance checklist.
1. A defined workflow and comparison
Ask the vendor and your business sponsor to describe the same task in plain language. Specify the inputs, intended users, expected output and decisions the system may influence.
Establish a comparison before the pilot starts. If the objective is faster account research, measure time spent producing an acceptable brief with the current process. Include checking and correction time in the AI-assisted comparison. A fast first draft that needs extensive repair may not improve the overall process.
Agree on what makes an output acceptable. Have the people who will use it review examples before the vendor starts reporting a success rate.
2. A map of data and responsibility
Request a diagram showing where the proposed deployment sends information, which parties process it and which administrator controls the relevant settings. Distinguish a product's general capabilities from the configuration included in your proposal.
Bring questions about retention, training use, deletion and contractual commitments to the appropriate privacy, security and legal reviewers. Ask for the actual applicable documentation, rather than assuming a public statement covers every product tier or integration.
Joint government guidance on secure AI deployment emphasizes understanding and protecting the deployment environment. Its primary focus is externally developed systems deployed on premises or in private clouds, so do not present it as a complete checklist for every hosted service. Secure AI deployment guidance.
3. Results from representative work
A vendor benchmark can help explain a capability. Your acceptance decision should also use a documented sample of your intended work, handled under approved data arrangements.
Include routine cases, ambiguous requests and cases where the correct answer is to stop or escalate. Decide in advance who will assess the result. Where judgment matters, record disagreements between reviewers rather than hiding them inside an average score.
Keep a record of the tested version and configuration. Ask what changes could invalidate the pilot's conclusions and how the vendor communicates those changes.
4. An operating and exit plan
Name the internal owner who can pause the workflow. Establish how support incidents reach that person, what evidence the vendor can provide and how the team will continue essential work during an interruption.
Ask how your organization retrieves its information and work products if it leaves. Have the implementation team demonstrate the export on a small test dataset. Confirm that the exported material is useful for the next process, not merely that an export button exists.
An exit plan is easier to evaluate before the organization depends on a custom workflow.
5. A complete cost and decision record
Compare costs at the level of an accepted business outcome. Include implementation, integration, review, support and the usage assumptions that affect the commercial proposal. Separate measured pilot results from forecast savings.
Conclude with a short decision record: approved use, owner, evidence reviewed, known limitations and conditions for expansion. Record unresolved questions with a responsible person rather than allowing them to disappear into the meeting notes.
The strongest purchasing outcome is a bounded commitment the business can explain. A clear pilot and a credible operating owner make it easier to expand useful AI and easier to stop work that is not earning its place.