How to Verify AI-Generated Data, Regulations, and Market Facts
Build a three-layer verification process to avoid mistaking hallucinations for facts.
What you'll learn
- Build a 3-layer verification process.
- Distinguish trustworthy citations from untrustworthy ones.
Step-by-step guide
Layer 1: Source verification
For any specific number, legal clause, standard, or certification, require AI to provide its source and check it against the official website. If the URL AI provides doesn't exist, that's a hallucination.
Layer 2: Logical verification
Check whether the reasoning is consistent from start to finish, and whether the same number is being applied to multiple different conclusions.
Layer 3: Expert verification
For anything involving law, finance, medicine, or engineering safety, a qualified professional must review it — no matter how confident the AI sounds.
Which citation styles are trustworthy?
"Based on data our company provided..." is generally more trustworthy. "According to a 2024 industry report, the market size is X billion" with no clear source is usually a hallucination.
Good example / Bad example
"Please provide the original source URL for this conclusion; if you can't confirm it, say so explicitly."
Quoting a 'government report figure' cited by AI directly to a customer.
Common mistakes
- Assuming that the more specific AI sounds, the more trustworthy it is.
Cautions
- Professional responsibility still rests with the person; AI output is only a draft.
Related prompts
Related articles
- AI BasicsWhy Is AI Often Wrong? Five Common CausesUnderstand why AI gives incorrect answers by examining five factors: input, model, context, task scope, and data freshness.
- Security & RiskWhich Company Data Should Never Be Uploaded to Generative AI?Classify data by sensitivity to clarify what needs anonymization, an enterprise account, or should never be uploaded at all.
Need help customizing this for your company and industry?
AEGIS provides enterprise AI adoption, process assessment, and systems integration consulting to help you turn prompts and AI tips into reliable internal workflows.
