Case Study: a US-based lending organization achieves faster loan approvals with NeenOpal’s AWS automation

A NeenOpal Case Study

Preview of the US-based Lending Organization Case Study

US-based Lending Organization - Customer Case Study

A US-based lending organization specializing in non-diluting loans for SaaS companies was facing challenges with slow, manual credit risk assessments. These processes caused inconsistent evaluations, scalability bottlenecks, and delayed loan approvals, which hampered their business growth. To address these issues, the organization partnered with NeenOpal to develop a data-driven solution.

NeenOpal built a robust WebApp on AWS to automate the entire credit risk assessment process. Their solution automated over 70 KPIs, enabling loan decisions in minutes instead of days. This resulted in a 90% faster decision time, a 1.5 percentage point reduction in the default rate, and the saving of over 5,000 analyst hours monthly for the client.


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