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Real-Time Credit Scoring: Reduce Approval Times, Increase Loan Numbers, Improve Borrower Experience

Lenders need tools they can employ during the loan application process to advance an application to the next step or divert potential customers to alternative products that are a better fit. Implementing artificial intelligence (AI) models that facilitate fast credit reviews — and even approvals — can help lenders increase the quality, number, and amount of loans they grant without taking on unacceptable levels of risk.

All Knowledge Studio Case Study

Bank streamlines Collections with AI

A multinational financial services company wanted to explore improving its collection rate and process but did not have the in-house talent it could dedicate to the project. With billions in assets and more than 25 million customers throughout the world, the bank needed to integrate new sources of highly granular credit data with historical data from a variety of structured sources and semi-structured. Their collections process lacked prescriptive analytics to optimize which loan they reached out to each day and through which channel. It was also having productivity issues and struggling to launch new credit products because of inflexible data transformation tools that couldn’t accommodate new variables.

Case Study