Case Study: Adiante Recebíveis achieves greater agility, flexibility and efficiency in risk decisioning with Provenir Decisioning

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Preview of the Adiante Recebíveis Case Study

Adiante Recebíveis gains agility, flexibility and efficiency in risk decisioning with Provenir’s AI Solution

Adiante Recebíveis, a credit fintech within the GCB Group that helps companies anticipate receivables, faced limitations with an internally developed open-source decisioning system and needed greater flexibility, autonomy and integration to scale risk assessment, fraud prevention and collections. To address these challenges it selected Provenir and its AI‑driven Decisioning platform (Provenir Decisioning).

Provenir implemented its cloud‑native, low‑code Decisioning platform to enable fast rule changes, simplified integrations and access to traditional and alternative data sources, improving self‑sufficiency and uncovering redundancies (eliminating about 40% of obsolete rules). As a result, Provenir’s solution delivered a 30% reduction in 30‑day defaults, a 25% increase in volume operated and a 10% improvement in Customer Satisfaction Score, while speeding product launches and operational decisioning.


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Adiante Recebíveis

Douglas Pinheiro

Director of Credit and Data Science


Provenir

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