How AI upgrades enterprise treasury management

AI News

by Ryan Daws

February 19, 2026

AI-Generated Deep Dive Summary

AI is revolutionizing enterprise treasury management by replacing outdated manual spreadsheet methods with automated data systems, enhancing efficiency and accuracy in managing cash flow, liquidity, and risk. Corporate finance teams often face challenges such as market volatility, regulatory compliance, and digital transformation demands. Ashish Kumar of Infosys Oracle Sales and CM Grover of IBS FinTech highlight how many treasury departments still rely on Excel, leading to inefficiencies and errors. This reliance on manual processes hinders real-time decision-making and scalability. IBS FinTech, a top global fintech firm, emphasizes the need for seamless integration between treasury management systems and enterprise resource planning (ERP) platforms like Oracle Cloud and NetSuite. This connectivity ensures real-time data flow, enabling accurate tracking of cash positions, risk mitigation, and compliance monitoring. Without direct integrations, manual data entry introduces delays and inaccuracies, undermining AI initiatives in finance. The article underscores the critical role of digitized and automated data as a foundation for successful AI implementation in treasury management. Integrating systems allows companies to leverage AI for predictive analytics, improving forecasting and reducing operational risks. Ashish Kumar notes that modernizing treasury processes with AI enhances financial resilience, particularly in volatile economic conditions. CM Grover warns that without prioritizing automation and real-time information systems, businesses may struggle to navigate increasing global uncertainty. Executives must audit their data workflows to ensure seamless integration between trading platforms and ERP systems. Poor data quality due to manual entry can derail AI projects, highlighting the importance of direct integrations for accurate, error-free data flow. By adopting these technologies, companies can achieve faster, more informed decision-making, crucial for managing risks in today’s dynamic financial landscape. Overall, AI adoption in treasury management is not just a technological upgrade but a strategic move to enhance operational efficiency and resilience. For businesses looking to stay competitive, embracing automated, integrated systems powered by

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Originally published on AI News on 2/19/2026