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How a $20B Credit Union Cut Document Review Time by 70% (Without an IT Overhaul)

A futuristic image shows an AI-powered robot rapidly processing a large volume of income verification documents in a high-tech digital environment. Stacks of documents on the left represent pay stubs, W-2 forms, tax returns, bank statements, and employment verifications. The AI bot works through the paperwork at extremely high speed while documents move along a digital processing path. A large screen behind the robot displays the income verification workflow, including scanning, extracting data, validating, and confirming information. The dashboard shows 1,248 documents processed in only eight seconds, emphasizing the speed and scale of automated processing. Verified documents emerge on the opposite side with green checkmarks, illustrating successful completion of the verification process. The image conveys themes of AI-powered income verification, lending automation, document processing, data validation, operational efficiency, and faster loan decisioning.

Suncoast isn’t your corner credit union. With $20 billion in assets and a footprint across Florida’s cutthroat auto lending market, they were processing thousands of income and identity documents monthly. The old-fashioned way. You know, humans squinting at paystubs, cross-checking employer details, and playing “spot the fraudulent document” for hours on end.

Spoiler alert: It wasn’t sustainable.

The Speed Problem Nobody Talks About

Florida’s auto market moves fast. Dealers compete on speed, and members expect their loans funded quicker than you can say “pre-approval.” Meanwhile, Suncoast’s lending teams were drowning in paperwork, spending hours on tasks that modern technology could knock out in seconds.

But here’s the kicker—fraud patterns were evolving faster than manual review processes could catch them. Fake employer verification? Income inflation? The sophisticated stuff was slipping through visual inspections like water through a sieve.

“We needed a solution that could accelerate our decision-making without sacrificing our risk standards,” explained Carly Mullins, VP Consumer Loan Fulfillment at Suncoast. “Our dealers compete on speed, and we needed to help them win while protecting our portfolio.”

Translation: Go faster without crashing into a fraud-shaped wall.

Enter AI (Without the Six-Month IT Nightmare)

Suncoast turned to Informed’s automated document intelligence platform through something called Dealer Verify. What makes this different from your typical enterprise software implementation that requires sacrificing your firstborn to the IT gods? It actually deployed quickly.

No lengthy integration projects. No months of workflow disruption. Just a secure portal connecting documents directly to Suncoast’s underwriting teams. The platform tackles paystubs, bank statements, IDs, and other income verification materials with up to 99% accuracy—which, let’s be honest, is probably better than most of us perform before our second coffee.

The AI-powered system spots fraud indicators that human eyes often miss: template patterns, employer anomalies, income misrepresentation tricks. Think of it as having a fraud-detection bloodhound that never sleeps, never gets bored, and doesn’t need bathroom breaks.

Best part? The solution works for both Suncoast’s indirect dealer network and direct member applications. One verification standard across all channels. Finally, some consistency in this chaotic world.

The Results: Not Too Shabby

Suncoast started seeing improvements within weeks—not the “we’ll circle back in Q4” kind of timeline, but actual, measurable changes:

  • Document review time slashed by up to 70% – Funders can process way more applications without hiring an army of reviewers
  • Clean files projected to fund 40% faster – Dealers are happier, members are happier, everyone wins
  • Stipulation volumes expected to drop 30-50% – Less back-and-forth, fewer “we need one more document” emails
  • Fraud detection on steroids – High-risk patterns get flagged before they become expensive problems

The platform also beefed up Suncoast’s audit readiness and data quality. Every validated document now has comprehensive data lineage, which sounds boring until the auditors show up and you actually have your documentation act together.

The Dealer Relationship Upgrade

Here’s something that doesn’t get enough attention: happier dealers stick around. When Suncoast started delivering faster funding decisions, clearer communication, and less paperwork friction, they didn’t just improve operations—they strengthened their competitive position.

In Florida’s crowded auto lending market, that’s not nothing. Dealers have options, and they’ll send business to lenders who make their lives easier. Suncoast is now that lender.

For direct channel members, the benefits are equally real. They get the confidence of working with a trusted credit union plus the speed that used to be reserved for fintech startups running on venture capital fumes.

What Happens Next

Suncoast isn’t treating this as a “set it and forget it” situation. They’re using the Informed Auto and Dealer Verify platform as a foundation for ongoing lending innovation. With AI handling the document grunt work, underwriting teams can focus on higher-value activities—you know, the stuff that actually requires human judgment and expertise.

This is the smart approach to automation: enhance human capabilities rather than awkwardly trying to replace them entirely. Suncoast gets operational efficiency gains while maintaining the relationship quality and risk discipline that define credit union operations.

The message here isn’t “robots are taking over lending” (calm down). It’s that the right technology, deployed thoughtfully, can make everyone better at their jobs while delivering genuine benefits across the board—institution, dealers, and members alike.

About Informed.IQ

Informed uses AI and machine learning to instantly verify income, assets, residence, insurance, and various stipulations, enabling real-time credit decisions without bias. Their models process hundreds of document types and consumer-permissioned data sources, automating what used to require extensive manual review.

The numbers tell the story: In 2023, Informed processed over 6 million consumer credit applications with 99% accuracy in seconds. Their Knowledge Graph and Fraud Data Network—packed with more than 100 million records and over 2 billion lending data points—powers a configurable AI platform designed for scale.

Originally laser-focused on auto lending, Informed now serves seven of the top ten auto lenders in the U.S. Financial institutions also deploy the platform for mortgages, credit cards, personal and student loans, and automated bank account openings.

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