Monk Debuts AI-Driven Cash Forecasting to Replace Manual Spreadsheets

The software continuously updates as customers engage, promise to pay, or raise disputes, ensuring finance departments begin each week with data grounded in the current status of their receivables. This bottom-up approach moves beyond traditional top-down estimation, which often fails to distinguish between a customer who pays on time and one who habitually delays. By scoring the likelihood of payment for every invoice, the system identifies specific accounts most likely to fluctuate, allowing teams to prioritize their collection efforts on cash at risk.

This launch addresses a significant gap in corporate finance, where boards are increasingly demanding measurable AI results despite widespread adoption of tools that offer only moderate impact. According to George Kurdin, Founder and CEO of Monk, the goal is to liberate finance leaders from the burden of manual spreadsheet maintenance. By automating the forecasting process, the platform allows teams to focus on strategic decision-making rather than reactive reporting. Current users, such as Goodship, report that the system simplifies leadership updates by replacing manual builds with automated exports. The platform, which has already processed over $1.5 billion in receivables, is now available to help companies reduce Days Sales Outstanding (DSO) and improve overall cash flow visibility.