Beyond the Score: How Personalized Offers Can Help Modernize CU Lending

Session Overview: 

AI is here to help credit unions personalize offers, make smarter credit decisions, improve efficiency and increase retention. Current AI solutions have largely focused on using machine learning to create better member risk scores. Relying solely on a risk score to automate member lending decisions risks members losing the personalization and intimacy they enjoy today. Losing that intimacy reduces the core value credit unions offer compared to traditional banks and fintechs.

Forward looking credit unions are moving beyond the score and using AI to make decisions that leverage more complete financial, lifestyle and relationship member data. The approach is called ‘decision optimization’ and it can be applied to more than credit origination decisions. The result is an ability for credit unions to continue to deliver a personalized member experience while increasing automated decision rates and delivering more modern and frictionless online offerings.

Join moderator John San Filippo for this insightful fireside chat featuring Don Arkell, the founder of CU Lending Advice and Tom Tobin, the CEO of Modelshop to find out how forward-thinking credit unions are developing decision optimization capabilities that use data from across the member life cycle to attract a new generation of members, increase equity and deliver a more personalized and modern experience for their entire member community.