They chose Provenir as their risk decisioning platform, with the objective of enabling business owners to take responsibility for their operations. Working with Provenir Professional Services, the team designed an elegant solution for their complex business requirements including models, risk tiering, offer generation, decision trees and much more. For personal loans, Provenir designed connectivity to Amazon’s machine learning model and complex risk tiering business logic. Subsequent enhancements support a much larger implementation within the Provenir decisioning engine that consists of various calculations and computations, business rules, checks and validations, versioning of applications, offer generations, adverse action reasons, and decision trees. Provenir is also powering in - school student loans and refinancing, and fraud check. With the help of Provenir, this company can make decisions on loans and perform fraud checks in real time. They also have the structure and support to respond quickly to increasing volumes and rapidly introduce new products. Extremely large transactional volumes are supported in a single environment, allowing aggressive SLAs to be met consistently. The two teams worked very closely to design the overall strategy to allow this fintech to continue to grow and expand into new business lines. Provenir’s Professional Services team collaborated closely with the customer’s development team to deliver these solutions and provide training. Over time, the in-house development team has become self-sufficient. This continues to be a long-term partnership as the two teams extend Provenir’s capabilities in support of their expanding business strategy.
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