Loan approval workflow Integration and Implementation case study
Date Published
Reading time
1 min
CreditNinja is a fast-growing web lending and approval application. It uses a loan approval workflow to faciliate transactions for all parties. A number of third-party services needed to be efficiently integrated in order to fetch and store the data needed for the credit decisioning process.
Solution
Integration services were developed using Python3.6 as AWS functions. This configuration leveraged and maximized benefits such as concurrency, faster deployments using the Chalice framework (including versioning and zero-time deployments). The services were called from a decision-making service using built-in Python multithreading package which enabled faster data availability. The code was delivered as CI ready with 95-100% test coverage. Built-in packages usage kept the codebase lightweight for faster deployments and easy maintenance.
Results
Sphere's integrations allowed CreditNinja to improve their decision model. The result - significant financial savings and risk reduction because untrusted customers are filtered out early in the application stages. In addition, the reliability of the system became more reliable because of improved test coverage.
More to read

Data is the fuel of modern engineering. Yet many organizations still struggle with silos, outdated files, and fragmented systems that slow down progress and innovation. In this guide, we explore how to streamline engineering data management—from strategy and governance to tools and cloud infrastructure. Whether you're dealing with massive CAD files or real-time IoT streams, this article shows you how to get your data under control and working for you.

OppLoans Enhances UX, Increases Loan App Conversions with Sphere


With our Custom Lead Generation System CreditNinja is able to reduce their underwriting costs substantially, which dropped by 75%. The company also achieved a 50% savings for marketing costs.