How fintech companies can leverage bank information for real-time balances
Luckily for fintech companies,
banks make much more information than intra-day and prior-day balances available to their customers. And they can use this information to calculate pending balances in real time.
For instance, banks generate bank-to-customer debit and credit notifications. They contain transaction data every time a debit or credit is booked on the account and are often generated every few minutes. Banks also make payment status reports (PSRs) available to their customers. They indicate if and how the bank has processed payments and therefore give a first level of confidence on the first steps of outgoing payments. Fintech companies can leverage this information to calculate pending or provisional balances from the bank's last intra-day or prior-day balances.
Take the following simplified example: a payment company’s latest intraday balance indicates €10,000 available on its settlement account at 11:00am. Since 11:00am, the company has sent its bank one payment order for a €1,000 SEPA credit transfer and one payment order for a €500 SEPA credit transfer. The PSRs for both payments indicate the status ACCP, which means that both payments have passed technical and functional validations from the bank. The fintech company can assume that there is a good probability these payments will be successful and account for them in their real-time pending balance, leading to a new balance of €10,000 (€1,000 - €500 = €8,500).
This is, of course, an extremely simplified example. Mature fintech companies will combine these calculated balances with liquidity forecasts based on payments seasonality, customer activity and market events to ensure they always have the right amount of funds in their accounts.
We now understand how fintech companies can leverage bank information to get real-time visibility on their balances, in theory. Indeed, to leverage this data, fintech companies must first collect it from the banks’ systems.