Check tampering and mail fraud are on the rise, costing account holders and institutions time, resources, and reputation. Thankfully, modern technology has the answer – AI check fraud detection with Finovifi by Main Street.
Fraudsters are always innovating. Shouldn’t you? See how Finovifi identifies fraudulent activity by filling out the form below.
The Real Cost of Check Fraud on Institutions Nationwide
Swindled funds are only the start. Fraud diverts time, energy, and resources that should be going toward what matters most – serving your community. Here’s what bad actors cost you with every forged check.
Introducing Finovifi by Main Street
Built to outthink fraudsters, Finovifi by Main Street redefines check fraud prevention for the modern institution. By combining AI precision with real-world banking experience, our machine learning program exposes subtle inconsistencies before losses occur – saving time, preserving trust, and protecting your reputation. Put plainly, it’s proactive protection made simple, even if the way it works is anything but.
AI‑Driven Check Validation Beyond the Human Eye
Fraud hides in plain sight, buried within patterns and details too miniscule for traditional defenses. Finovifi by Main Street goes deeper with sweeping image analysis technology. By measuring certain attributes, layout, overall dimensions, and more, it identifies signs of fraud with a fraction of the time and effort.
Multi-Analysis Score for Superior Defense
Finovifi by Main Street synthesizes results from four distinct fraud-detection technologies, delivering a unified score that strengthens accuracy, reliability, and institutional protection.
Handwriting Analysis That Spots Subtle Forgeries
Our handwriting reveals a lot about us. Finovifi by Main Street uses known handwriting samples to scrutinize more than a dozen data points. By comparing incoming signatures to verified handwriting samples, it evaluates dozens of traits to uncover discrepancies traditional methods often miss. Put it into action at your institution by reaching out today.
Why Choose Finovifi AI Check Fraud Detection?
Modern threats deserve modern responses. Finovifi by Main Street has already saved institutions millions of dollars by elevating and automating the fraud detection process. Beyond paying for itself, the program includes numerous other advantages, including:
Embrace the Future. Take the Fight to Fraud.
AI Check Fraud Detection FAQs
Finovifi by Main Street uses machine learning to cross-reference historical account holder data and behavior against incoming checks. Combined with image analysis and other forms of review, this AI model calculates a likelihood of fraud to protect you and your account holders.
Let’s face it, we’re not all handwriting experts. The difference between a genuine and forged signature is often too small to spot. And when reviewing checks at volume, it’s only natural for human eyes to fail us. AI handwriting analysis, on the other hand, never overlooks, forgets, or rests.
Check fraud is trending upward, and fraudsters are becoming more sophisticated, even using AI themselves. Modern forms of fraud (like check kiting) exploit bank or account holder behavior to evade easy detection. AI check fraud detection models, however, are not so easily fooled.
Yes! Finovifi by Main Street is capable of analyzing check images uploaded through mobile deposit for the same subtle signs of fraud. Even at a distance, it can identify the signs of check washing and other common forms of fraud with accuracy.
Absolutely. Once flagged, suspicious checks still need manual review, which can be burdensome for some institutions depending on the value of those checks. Finovifi by Main Street allows for complete configurability based on numerous settings to align with your institution’s goals.
Stay a Step Ahead of Fraud with Finovifi by Main Street
Check forgery is always changing to stay a step ahead of your defenses. It’s time to turn the tables. Finovifi by Main Street moves faster, thinks smarter, and never tires of catching fraudsters in the act. See how it works today.