Customers · Card
Card programs ride on one ML model. The ceiling on that model is your labels. Roe investigates every dispute and returns typology-tagged labels your DS team can train on.
What you get
Every for card issuers & processors deployment ships with the same evidence-first reasoning, audit trail, and policy fit as the rest of Roe.
Every case ships with a tag your model needs. 1P vs 3P, friendly fraud, ATO, social-engineered ATO, card-not-present, synthetic. Not a binary fraud / not-fraud flag.
The two typologies that move loss the most are the hardest to label. Roe reads claim, device, behavior, and merchant context. Calls them apart with cited reasoning.
Backfill historical cases for a model retrain, or stream new labels as they close. Your DS team gets a clean, versioned dataset, not a queue export.
Lands labels in Snowflake, S3, or Kafka next to the features that drove them. No new pane to learn. No new vendor risk review.
Typology tags out of the box
Labels with cited evidence
Backfill or stream into your warehouse