This workflow automates the continuous cycle of cash forecasting, exposure modeling, and decision execution to prevent liquidity stress. It ingests real-time data from ERP (SAP, Oracle), TMS, and banking APIs, using predictive models to forecast positions and identify gaps. Orchestrators like LangGraph then trigger optimal actions—early payments, short-term borrowing, or investment sweeps—based on predefined policy rules. The operational upside comes from reducing manual aggregation effort, minimizing idle cash, capturing dynamic discounts, and avoiding costly overdrafts or emergency borrowing.




