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Test WhatsApp AI Assistant Answers Against Approved Sources Before Launch

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A WhatsApp AI assistant can give confident answers that its approved documents do not support, such as outdated offers or policy details inferred from unrelated material. The article argues that businesses should judge these tools by whether each consequential answer traces to a current source and whether the assistant admits when information is missing or conflicting. It proposes a 16-case grounding test covering known answers, gaps, stale documents, paraphrases, multilingual input, and malicious embedded instructions, with saved sources and configuration for review. Reviewers should check individual claims rather than tone, and a system that cannot expose its retrieved sources cannot be verified from transcripts alone. The author cautions against launching on vendor demos or a few hand-picked FAQs and notes that human review or narrower use may be the better interim design.

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