How to check an AI answer before you use it

An AI answer can be useful and still contain a wrong date, an invented reference or a conclusion that the evidence does not support. Check the parts you intend to rely on before moving the answer into a customer message, report or decision.

Decide what needs checking

First identify the purpose of the answer. Brainstorming possible headlines is different from explaining a technical specification or summarizing a contract. Mark the statements that could change what you or another person does.

Split the response into facts, interpretations and suggestions. A date is a factual claim. An explanation of why sales changed may be an interpretation. A proposed next step is a suggestion. Each requires a different kind of review.

Open the source, not just the citation

Ask for references where appropriate, then visit them yourself. Confirm that the page or document exists, that the named organization published it and that it actually supports the statement. A real link can still point to material that says something different.

Check the publication date, the period covered and the geographical scope. A source describing last year's figures or another country's rules may not answer today's question. For important claims, seek the original research, official documentation or responsible authority rather than a chain of summaries.

Rebuild the important details

For a number, check the unit, denominator and calculation. For a product claim, compare the exact model or version. For a quotation, find the words in the original and read the surrounding passage.

Use a small claim log for material you will publish: the statement, its source, the check and any remaining uncertainty. If a claim cannot be verified, remove it, qualify it accurately or return to the research. Asking the same system whether it is certain is not independent confirmation.

Look for a missing condition

Ask what would make the answer stop being true. Does a recommendation depend on a subscription, a particular environment or a legal jurisdiction? Does a comparison use the same time period and assumptions?

Confidently presented false information and excessive reliance on AI are risks to consider. Treat verification as an explicit step rather than relying on fluent presentation.

Keep the review visible in your workflow

For content teams, you can work on AI content through a review and approval process with iMATRIX – AI Suite. The public product description includes versions and manual approvals. Those workflow features do not replace opening sources and checking claims.

Transparency: iMATRIX is one of our own projects.

Before accepting the answer, a reviewer should be able to explain which important claims were checked and what remains uncertain. If the subject needs specialist judgment, involve someone qualified to provide it. Do not turn a plausible draft into authoritative advice by removing its caveats.

Sources: NIST: Artificial Intelligence Risk Management Framework — Generative Artificial Intelligence Profile (2024).