CFOs Use AI to Improve B2B Payment Management as They Tackle Overdue Receivables

Business-to-business transactions often involve lengthy payment cycles, and overdue receivables can squeeze operating cash flow while increasing the cost of tracking individual accounts and pursuing collections. Reports indicate that CFOs are adopting data analytics and AI to identify high-risk customers from payment records, shifting accounts-receivable management from after-the-fact collection to early warning.

The latest approaches use AI to predict the likelihood that invoices will become overdue and automatically schedule reminders, prioritize collections and determine when staff should intervene. This helps companies manage large receivables portfolios at scale. The original report did not identify the companies or institutions using such systems or provide implementation dates, receivables amounts or the degree of improvement in delinquency rates, leaving their effectiveness without quantifiable evidence.