When AI Generates a Database Query, Who Checks the Answer?
EM360Tech, Tuesday, November 3rd, 2026
EM360Tech explains how to verify AI-generated database queries, since a query can run without errors yet answer the wrong question.
AI analytics tools translate business questions into SQL queries, but the database only executes what the query says, not what the user meant.
The article gives the example of an AI counting purchases instead of customers, producing a plausible but wrong figure.
Errors can come from wrong dates, included or excluded records, incorrect table joins or the wrong calculation.
It reviews verification methods such as schema checks, reference queries and testing, explains that each catches different mistakes, and discusses when human review is needed.