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BusyKeys Announces New AI Model That Automates Cash Application With High Accuracy

Introducing, a modern solution for identifying, matching and posting incoming payments to the right customer accounts

BusyKeys has introduced a new AI model designed to simplify cash application for businesses by accurately matching incoming payments to the right customer accounts. The system supports checks, money orders, Zelle, Venmo, ACH and credit card payments and identifies the correct customer even when payment information is incomplete or inconsistent.

The model was trained using reinforcement learning on tens of thousands of real payment examples so it can determine the best match and the correct set of rules for applying payments to the appropriate general ledger accounts. When confidence is high the posting can be performed automatically. When confidence is lower the payment can be routed to a human reviewer to keep financial controls intact.

BusyKeys has already tested the new technology inside a live customer environment in the property management industry. In this setting, payments can be unusually complex. The person making the payment is not always the tenant, and amounts often blend several charges that must be split across different tenant balances and multiple general ledger categories. Traditional systems struggle with this because they rely on clean remittance data that rarely exists.

The BusyKeys model thrives in this uncertainty. It draws on signals such as the payment memo, the structure of the payment amount, past patterns of who has paid on behalf of which tenants and other contextual clues that are often overlooked. It pieces these elements together to determine the correct tenant and the right allocation pattern with a high level of accuracy. What used to take hours of detective work now happens automatically, and the success of this real world trial highlights how transformative the technology can be when deployed at scale.

We went from spending sixteen to twenty four hours a month tracking and allocating payments to spending just minutes. BusyKeys transformed the process.

Mike Moss of Mercury Real Estate described the dramatic improvement in efficiency created by the BusyKeys bot powered by the new model. “We went from spending sixteen to twenty four hours a month tracking and allocating payments to spending just minutes. BusyKeys transformed the process. The bot understands our messy real world data, and the time it saves us goes straight back into serving our tenants better.” His team now directs its attention toward work that delivers higher value to residents and property owners instead of losing entire days to reconciliation.

Larry Martin, founder of BusyKeys, said the company created this model to solve a problem that finance teams across many industries face every day. “Businesses are working with a mix of payment channels. Each comes with its own level of structure and reliability. Our goal was to build a model that learns how real payments behave and then uses that knowledge to help companies keep their books accurate and current. The results we are seeing at Mercury Real Estate show how powerful this approach can be.”

The new BusyKeys cash application model is now available for use within companies of any size. Organizations that want more information or would like to join the early access program can contact BusyKeys by visiting www.busykeys.com.