Every outcome returns as labeled learning.

Because fraud models starve without labels.

Every fraud detector decays. What decides how fast is the feedback: most vendors see transactions or outcomes, rarely both, and almost never with the agent's stated reasoning attached. Labels arrive from annotators, late and expensive, while agent fraud adapts at software speed.

Sitting in the authorization path means reality grades our work: every decision we screen comes back settled, disputed, or deflected, and attaches itself to the full decision record as a label. We built the loop because that position compounds. It is the reason the system gets harder to beat every month, and the reason we built everything else.