Case Study: a prominent private lender for real estate businesses achieves 45% faster loan processing with Turing lending automation

A Turing Case Study

Preview of the Prominent Private Lender for Real Estate Businesses Case Study

a prominent private lender for real estate businesses speeds loan processing by 45% with Turing

A prominent private lender for real estate businesses faced a slow, manual underwriting process that relied on multiple external sources and was hindered by constant changes to business rules. This caused significant delays and prevented the swift launch of new loan products. Seeking to accelerate processing and improve scalability, the lender partnered with Turing for a lending automation transformation.

Turing implemented a solution featuring a microservices architecture, an automated rules engine for easy policy updates, and integrations with systems like Experian and LexisNexis. This streamlined data retrieval and processing. As a result, Turing helped the client achieve a 45% improvement in loan processing time, reducing it from weeks to days, a 20% increase in new loan applications, and a 30% reduction in cloud infrastructure costs.


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