How Businesses Should Verify AI-Generated Work

Fluent wording is not evidence that an answer is correct.

Why AI output needs verification

AI models hallucinate citations, work from outdated information, and make arithmetic errors — all while sounding authoritative. The quality of the writing gives no signal about the accuracy of the content.

The SDACCA framework

• Source — is there a verifiable primary source?
• Date — is the information current?
• Authority — is the source credible for this claim?
• Context — does the claim apply to your situation?
• Calculation — have any numbers been independently checked?
• Approval — has a human with relevant expertise reviewed and signed off?

Build verification checkpoints into workflows. Train staff to treat AI output as a draft, not a finished product.