Provenir_Case_Study_ConsumerLending-and-Banking_blind_210423

This consumer lending and savings provider experienced exponential growth very quickly. Given such rapid growth, this lender recognized the importance of replacing their inflexible, middleware-based decisioning engine with a centralized decisioning platform capable of processing millions of applications a month.

Provenir Solution:

Decisioning Cloud

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The Provenir Risk Decisioning Platform provides a businessfriendly, flexible environment to configure customized personal loan processes.

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Scalable, automated decisioning is capable of processing millions of applications per month.

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Configurable adaptors enable fast real-time integration to multiple traditional and alternative services.

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Robust architecture provides long-term performance stability and scalability.

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Transparent, model-agnostic import capabilities enable use of existing analytics models without code rewrites.

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Responsive, transparent support services aid faster development.

After reviewing multiple options for its decisioning platform, including building an in-house solution, Provenir topped the list by meeting all the key requirements, which included a high degree of flexibility, scalability, integration capabilities, and proven reliability. Using Provenir, the lender will centralize data in a single platform and leverage a microservices architecture to re-use discreet business functions, such as its existing KYC protocols and analytical models built in Python and R. It will also make extensive use of Provenir’s easyto-use integration adaptors, with multiple real-time integrations required to both traditional and alternative sources.

The Provenir Decisioning cloud will provide this lender the infrastructure and flexible environment required to quickly configure customized loan processes to meet changing market conditions. Scalable, automated decisioning is capable of processing millions of applications per month, allowing this lender to easily keep pace with its rapid growth.

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