Verify an AI research summary before using its numbers

Assign a bounded research task

Generative tools can help organize text, extract information and draft explanations. FINRA’s overview describes a range of industry uses, including summarization and information extraction. NIST identifies confabulation as a risk: a model can present incorrect material confidently, including apparently credible reasoning or citations.

Use a narrow task such as identifying the reporting periods and units in documents you provide. Ask the tool to separate direct document evidence, calculations and unanswered questions. Avoid a broad prompt that treats an unsupported prediction as an actionable conclusion. A precise prompt improves the review process but does not guarantee accurate output.

Create a claim by claim verification table

Use columns for the generated claim, original document location, observed figure, unit, period and result of your check. Open every cited document yourself. Confirm that the cited page exists and actually supports the sentence. A genuine source can still be cited for a claim it does not make.

For a hypothetical statement that revenue grew from 80 to 100, calculate the change independently: the increase is 20, divided by the starting 80, or 25%. Then check whether the two figures refer to comparable periods, the same currency and the same business scope. Arithmetic accuracy alone does not make the comparison meaningful.

Flag any answer that changes units, combines fiscal and calendar years, or silently substitutes adjusted earnings for reported earnings. Ask for a correction with the source passage, then verify the revision. Repeated model agreement is not independent evidence if every answer depends on the same original mistake.

Preserve human accountability

Keep the source documents and your final verification table with a date. If you use a generated summary in a public review, distinguish documented product features from editorial interpretation. Do not describe a simulated strategy or generated projection as observed investment performance.

A useful final note should explain what was checked and what remains uncertain. You can let software assist with organization while retaining responsibility for the conclusions you publish. When the task involves a material financial decision, a polished paragraph and a plausible citation list are insufficient grounds by themselves. The verification workflow is valuable because it makes errors visible before the draft becomes a decision or a recommendation.

Editorial research reviewed 9 November 2026. This is an educational guide; examples are hypothetical. Source documents: NIST: Generative AI Profile; FINRA: How Member Firms Use GenAI. Rules, services and account terms vary by jurisdiction.