Monk Debuts AI Credit Tool That Tracks Customer Payment Habits

Credit decisions in the B2B sector remain largely reliant on instinct and outdated manual processes. With approximately 55% of invoiced sales in the United States currently paid late, companies often rely on credit bureau reports and static spreadsheets that are reviewed only once a year. Monk aims to shift this dynamic by integrating internal collection data—such as days-to-pay, disputes, and partial payments—directly into the credit assessment workflow. By pairing this internal behavior with a user’s choice of external credit bureau data, the platform generates a suggested credit limit, allowing finance leaders to make informed decisions without toggling between disparate systems.

"Every credit decision is a bet on whether someone pays you back," said George Kurdin, CEO and cofounder of Monk. "The best information for that bet is how they have paid you before, and it is already yours. We just put it to work." The new feature is available immediately to all existing Monk customers, who collectively manage more than $2 billion in receivables through the platform. By automating these assessments, the company reports that users typically see a 40% reduction in Days Sales Outstanding (DSO), moving credit management from a reactive, manual task to an AI-driven, real-time process.