Output Verification
A proportionate check that compares consequential AI claims with sources, rules or accountable human judgment before release.
Output Verification is a proportionate check that compares consequential AI claims with sources, rules or accountable human judgment before release.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Business context
CONTROL
Output Verification
OUTCOME
Decision or action
LANGUAGE AI
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Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
The Customer Reply That Must Sound Human
Language AI: A quality incident
Language AI: A workflow under pressure
Language AI: A data boundary
Language AI: A customer-facing moment
Language AI: An ownership gap
Den kundesvar, der skal lyde menneskeligt
Sprog AI: En kvalitetsincident
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