
Bank of America’s AI tool cut 250K hours of clients’ manual cash forecasting work in 2025 - Providence Business News
Bank of America Corp. has reported that its AI-driven CashPro Forecasting tool has significantly benefitted over 3,000 corporate clients, saving them more than 250,000 hours of manual cash forecasting in 2025. This forecasting feature, integrated into the CashPro platform, automates what was traditionally a lengthy process reliant on spreadsheets, cutting down completion time from days to mere minutes.
Jennifer Sanctis, product executive for CashPro, emphasized the bank's commitment to technological advancement. As AI evolves, enhancements to the CashPro Forecasting tool empower clients to navigate a dynamic financial environment seamlessly. The tool employs machine learning to integrate account data and analyze global cash positions, allowing companies to project liquidity up to a year in advance and even include data from accounts at other banks for a unified perspective.
In times of market volatility, such as during tariff developments and fluctuating interest rates, client usage of the tool surged, with a 113% increase in forecasting workspaces created in the second quarter. Winnie Chen, head of global payments solutions for Asia Pacific, highlighted the importance of these insights in enabling timely, informed decision-making.
The collaborative nature of the CashPro platform has been recognized as a significant advantage, allowing teams to collaborate on real-time scenario assessments. Sal Campo from Toyota Financial Services noted its intuitive design, which facilitated quick implementation and value generation.
Recent upgrades to the AI model behind CashPro Forecasting have increased processing speed by fivefold, and the introduction of a generative AI assistant, Ask Global Payments Solutions, further enhances support for client inquiries. CashPro Forecasting is integrated into the bank’s Information Reporting services, making it accessible for various treasury and trade activities globally.


