AI Inference

AI Inference is the moment a trained model processes a new input and produces an output, with real implications for cost, latency and control.

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.