Results since integrating EDGE

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Income verification is one of the most critical and time-consuming components of underwriting. For this lender, it was also one of the least reliable. Manual processes required analysts to sift through transaction histories, calculate income by hand, and re-enter data across systems. Even with significant effort, inconsistencies and errors were common, creating delays, rework, and risk in decisioning. By implementing EDGE, the lender introduced a fully automated, cashflow-based approach to income verification, transforming a fragmented, error-prone workflow into a fast, accurate, and scalable system.

Challenge

Manual income verification created risk, delays, and operational strain

Critical data was incomplete or hard to find

Income signals were often buried within large transaction logs or missing entirely from summary views, forcing analysts to search manually for key information.

High error rates from manual calculations

Teams relied on spreadsheets to calculate income, pay frequency, and totals. This process led to frequent miscalculations, missed deposits, and inconsistent outputs.

Inefficient workflows slowed decisioning

Analysts had to review, calculate, and re-enter income data across systems, creating bottlenecks and extending time-to-decision.

Scaling the process increased risk

As volume grew, so did the likelihood of errors. The lender needed a more reliable system that could maintain accuracy without increasing operational burden.

Solution

Automated cashflow analytics replaced manual income verification

The lender implemented EDGE to bring real-time, automated income verification into its underwriting workflow. Instead of relying on manual review and incomplete summaries, EDGE delivers clear, accurate income insights instantly.

Cashflow-first insights made it easier to say “yes” with confidence

EDGE gave Magnolia a real-time view of member cashflow patterns, helping underwriters understand income consistency and affordability with more clarity. That meant more confident approvals for members who might have been overlooked by traditional models.

Built-in verification reduced manual work and sped up decisioning

By embedding EDGE into the underwriting workflow, Magnolia reduced reliance on slow, document-heavy processes. Underwriters could verify income faster, focus attention where it mattered, and move applications forward without unnecessary friction.

Impact: Faster decisions, broader access

With EDGE, Magnolia cut time-to-decision by 1- 2 days and increased loans funded for self-employed members by 6%,while strengthening fraud protection and maintaining strong loan performance.