Transformer

Transformer is a neural-network architecture that uses attention to connect relevant parts of a sequence and underpins most modern language and multimodal models.

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.