The treasury program consolidated cash visibility across entities and automated cash forecasting using real-time ERP, CRM, and market data integrations. The AI agents enforced payment policies and applied anomaly detection to safeguard against fraud while improving liquidity forecasting.
Treasury staff faced fragmented cash views across multiple banks, relying on error-prone spreadsheets for forecasting. This lack of real-time insight created exposure to payment fraud and caused the organization to miss opportunities for FX optimization and interest gains.
Unified real-time cash visibility across entities
Automated ERP/CRM-integrated cash forecasting
Policy-enforced payments with fraud detection
Automated bank file processing + reconciliation
Variance analysis of forecast vs. actual cash
The implementation improved forecast accuracy to within ±5% compared to ±15% previously. Working capital availability increased by 5–10%, and proactive anomaly flagging helped prevent payment fraud losses. Manual payment reviews fell by 80%, with most transactions flowing straight through.
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