AI may be getting the attention, but its usefulness depends heavily on what sits underneath it. Fragmented data, disconnected processes, and manual workarounds can limit what finance teams are able to automate—or even see clearly in the first place.
Cash application, collections, accounts payable, treasury, and financial close often operate across disconnected systems, creating manual work that slows decision-making and limits visibility.
Every payment starts with supplier data. If that information is incomplete, outdated, or incorrect, the downstream impact can range from delayed payments to duplicate invoices, fraud, and compliance issues.
For decades, the month-end close has depended on accountants manually preparing reconciliations, journal entries, and supporting documentation before anyone can begin reviewing the numbers.
Month-end close has long been treated as a race against the clock—a concentrated burst of reconciliations, approvals, and reporting that puts finance teams under immense pressure. But as organizations become more complex, that model is becoming harder to sustain.
Accounts receivable has traditionally been viewed as a back-office function—but for many finance leaders, it’s becoming a key driver of cash flow, forecasting, and customer experience.