By the time a transaction reaches the general ledger, a surprising amount of work may have already happened. Receipts have to be captured, expenses coded, approvals completed, card transactions matched, and reimbursements processed—and when those steps happen manually, problems can follow the transaction all the way into month-end.
Financial data rarely lives in one place. The ERP may hold the ledger, but the context needed to reconcile, validate, and explain those numbers can be scattered across billing platforms, banks, spreadsheets, contracts, policies, and other systems.
The general ledger may hold the final numbers, but much of the work required to get there still happens somewhere else. Spreadsheets, inboxes, Slack threads, and institutional memory often become the unofficial infrastructure behind month-end.
Revenue recognition gets complicated quickly when contracts stop being simple. Subscriptions, usage-based pricing, bundled products and services, and mid-contract changes can turn what looks like a straightforward sale into a complex accounting exercise.
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.