More Automated Decisioning, Stronger Growth
Customers that have strategically implemented automated decisioning practices are seeing more accurate decisions, faster approvals, stronger borrower relationships, and consistent year-over-year growth. How does your performance compare?
Let’s explore how we can unlock this potential in your own operation.
MeridianLink Solutions for Smarter, Faster Decisioning
Decisioning Optimization
Identifies key risk drivers and meticulously adapts your financial institution’s lending strategy, credit policy, and risk appetite within an automated decisioning framework.
Custom Score
An AI and machine learning-powered risk score leveraging multiple data sources, augmented with optimized underwriting rules, and implemented directly in the decision engine.
Consumer Data
Assess consumer relationship value and risk using data from your core systems to enhance automated underwriting and drive smarter lending decisions.
Automated Underwriting Transformation
Unlock the Full Potential Of Your Lending Platform
You already have the lending technology—now let’s make it work smarter and faster for you. Learn how easy it is to integrate powerful data intelligence into your MeridianLink® platform and transform your digital lending from good to exceptional.
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Additional Resources
14% Annual Loan Portfolio Growth With Enhanced Automated Decisioning
By combining MeridianLink’s custom score with its automated decision engine, this institution increased both the number of applications reviewed and the percentage of approvals—driving sustained growth over five years.
Avoid the Trick of Outdated Decisioning
55% of lenders have developed credit decisioning models that never make it to production. Don’t let that be you. Discover how you can treat your FI and your consumers to data-driven decisioning.
AI-Powered Underwriting Increases Access to Credit
Discover how enhanced risk assessment capabilities enabled this FI to make fair, more informed decisions, increasing its ability to build relationships with underserved borrowers.