PRODUCTION SCENARIO
An HR team wants a recruiting assistant built on policy documents gathered from many offices. Several files carry no date and some state rules that contradict each other.
What should the team address first?
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Show answer and explanation
Answer: Data quality, fixing the missing dates and contradictions
Data quality and accessibility - completeness, consistency, relevance, availability - are the inputs that decide whether a gen AI initiative can work at all, and undated contradictory policies fail two of those outright. Every other option here is a genuine Google-recommended practice aimed at the wrong problem. Grounding makes answers cite the sources, which on contradictory sources produces confidently cited contradictions. Fine-tuning teaches the model the conflicting rules rather than resolving them. A human in the loop catches the bad answer at the last possible moment, every single time, forever, because the underlying conflict was never fixed. Sort the source of truth first, then apply the technique.