AI Output Verification: How to Check Facts, Sources, and Claims

Verify Before You Trust

AI can produce helpful drafts, but important outputs need verification. This is especially true for facts, sources, calculations, legal or financial claims, medical information, customer communication, and technical guidance.

What to Check

• Names, dates, numbers, and quotes.
• Whether cited sources exist and actually support the claim.
• Calculations, assumptions, and units.
• Policy, legal, medical, or financial language.
• Customer promises and public claims.

Use a Verification Workflow

Ask AI to list what needs verification, but do not rely only on that list. Use original sources, official documentation, trusted references, and human judgment. The more important the decision, the stronger the verification should be.

Verification turns AI from a risky answer machine into a safer drafting and analysis assistant.