AI workflows are easier to govern when the evidence trail is part of the workflow, not a retrospective document created after questions are raised.
Useful evidence shows the use case, owner, data boundary, model or vendor, control decisions, review points, incidents, and the human oversight used to keep the workflow accountable.
DDAI designs implementation work so those records are created naturally as teams build and operate governed workflows, with a clear pathway into Evidary where portable proof is needed.