With same-day ACH payment volume topping the 1 billion mark in 2024 and continuing to rise, ACH payments are viewed by both consumers and businesses as a relatively safe, cost-effective, and compliant way to make online transactions.
You might even say they’re taken for granted. And that can be a problem.
Many companies do not measure or monitor the performance of their account validation services. If they did, they would see that while success rates may be high, failure rates remain expensive. Each invalidated or incorrectly validated transaction represents a direct cost, downstream expenses, workflow disruption, manual remediation, and potentially customer abandonment.
Multiply that by the annual volume of online commerce, and the value of more efficient bank account validation quickly adds up.
As a fintech leader in machine learning and predictive analytics, Accelitas set out to literally “break the code” in ACH transactions, developing a patented mathematical model that deciphers how U.S. financial institutions format and structure their accounts, allowing its Ai Validate Bank Data (BD) service to automatically identify and filter invalid bank routing and account number combinations. Our clients’ results speak for themselves.
By eliminating these common R03/R04 Nacha return codes at the very beginning of the payment process, businesses can solve some of the most common reasons for ACH returns, saving significant time and money while improving the customer experience.
Ai Validate BD is designed to deliver a more comprehensive BAV solution for today’s online businesses, including three distinct advantages:
If you haven’t given much thought to your automatic bank account validation, this is a great place to start. Let Accelitas give you a free bank account validation data test to find out how Ai Validate BD can deliver just what your online business has been missing.