A model can answer well in isolation and still fail inside a business process. Workflow evaluation checks whether the whole system performs reliably in the context where people will use it.
Teams should test retrieval quality, tool behaviour, permission handling, failure modes, escalation routes, and the usefulness of the evidence produced by the workflow.
DDAI builds evaluation into AI workflow implementation so organisations can make deployment decisions using evidence rather than enthusiasm.