uflow
Case study

RappiCard × uFlow

How RappiCard automated credit card application assessment in Mexico with the uFlow decision engine.

The challenge

RappiCard — Rappi's credit card in Mexico — needed to scale credit card application assessment with agility and precision, in a context of high volume and fast growth. The risk team required the ability to adjust its lending policies autonomously, without depending on the IT team for every change.

The solution

Because of its flexibility, RappiCard implemented uFlow's 100% web, cloud and NoCode decision engine. With a drag-and-drop interface, the risk team designs and modifies its credit assessment rules autonomously, and the engine integrates over a REST API into the onboarding and card application flow.

The results

RappiCard automated and made its credit assessment process more efficient, improving response time for applicants and gaining full autonomy over its lending policies. Changes that previously depended on development are now managed directly from the engine.

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Transform your credit assessment process with the decision engine.