AI insight quality cards
Apply quick checks for scope, evidence, risk, and deployment language in AI customer-insight readouts.
What four labels can keep an AI insight from overclaiming? Hypothesis, monitoring signal, validated pattern, recommendation. The label tells readers how much action the evidence can support. Claim label Validated pattern versus recommendation Compare Do not let a validated pattern silently become a recommendation. The executive says, "Remove the caveats so the insight lands." A high-stakes AI claim has uncertainty. Your line I can make the language clearer, but the scope and confidence label need to stay so the decision matches the evidence. Removing caveats may make the memo cleaner and the decision worse. Trustworthy AI use requires communicating limits…
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