An AI platform should earn its place by handling work your business needs done. Before buying one, test a defined task with the people, information and systems it will depend on. Compare the result with how the task works today, including the effort required to check and correct it.
A manufacturer, for example, might want help turning maintenance requests into work-order drafts. The useful purchase question is whether a platform can prepare accurate drafts from approved information, flag missing details and leave release to the maintenance team. A demonstration of fluent answers would answer only part of that question.
Define what the purchase must accomplish
Describe the task from the request to the accepted result. Identify the people who use it, the information they need and the systems involved. State where the platform's responsibility ends. Preparing a maintenance draft, assigning work and controlling equipment are different requirements.
Write acceptance criteria before reviewing candidates. For this example, a draft might need the correct asset reference, a faithful description of the reported issue and a visible request for missing information. It should not invent a diagnosis or present an unverified repair instruction as approved work.
The UK government's Guidelines for AI procurement recommend defining the business problem and considering alternatives before committing to a solution. Although written for public procurement, that approach is useful when a business compares buying software, extending an existing system or building a focused tool.
Compare candidates on the same work
Prepare a common set of cases and expected results. Include ordinary requests, incomplete descriptions, conflicting asset identifiers and information the test user is not allowed to access. Use approved test information and preserve the original cases so the team can repeat the comparison.
Ask each supplier to explain the configuration, preparation and manual work behind its results. If one candidate receives extra integration work or curated source material, record that difference. It may be a reasonable investment, but it belongs in the comparison.
Have the people who would review the drafts assess them against the agreed criteria. Count usable results, corrections, missed issues and requests that could not be completed. Record review time as well as generation time. Repeat selected cases to check whether an encouraging result holds across runs.
NIST's AI Risk Management Framework calls for documented test sets and measures, with performance demonstrated under conditions similar to deployment. A test using the intended sources and user roles gives buyers more relevant evidence than a demonstration with unrelated documents.
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Ask for evidence behind the feature list
Turn each important requirement into something the team can inspect or test.
| Requirement | Evidence to request |
|---|---|
| Uses the right information | Drafts linked to the source records and versions used, with missing or conflicting information identified. |
| Works with the maintenance system | A demonstrated connection to the required fields and workflow, including what happens when access or a request fails. |
| Respects user permissions | Tests with permitted and restricted users, supported by the configured access rules. |
| Supports staff review | A reviewer can inspect, correct and release the draft through the agreed process. |
| Fits the operating budget | An estimate covering setup, licenses, usage, integration, review and ongoing support, with assumptions stated. |
A product demonstration, a supplier commitment and a result observed in your configuration provide different evidence. Keep those distinctions in the evaluation record. A successful access test does not establish every aspect of the platform's security, and a policy document does not prove the integration behaves as expected.
Test the connection and the exceptions
If the purchase depends on a connection to an existing application, test that connection early. Confirm which records can be read, which fields can be changed and which account performs each action. Check that the test environment represents the intended configuration closely enough for the result to be useful.
Include a failed connection, a source change during review and a request outside the agreed scope. For the maintenance example, the team should see whether the platform reports an unavailable asset record or produces a plausible draft without it. Agree on how unresolved requests return to staff.
Keep untested requirements visible. A supplier may need additional work to support a particular application version or permission model. Treat that work as a dependency with an owner and an estimate. Retest the affected cases once it is complete.
Make the buying decision explicit
Compare the full cost of reaching and maintaining the accepted result. Include internal effort to prepare information, connect systems, review drafts and support users. Separate demonstrated performance from estimates about future volume or savings. A lower subscription price may accompany more implementation or review work.
Record why the preferred option fits the task, what remains unresolved and who will own it in operation. If no candidate meets the essential requirements, the next step may be a narrower task or a change to the existing process. A useful evaluation can prevent a purchase as well as support one.
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