Generative Artificial Intelligence in Treasury Management: Transforming Cash Flow and Risk Management

Generative Artificial Intelligence in Treasury Management: Transforming Cash Flow and Risk Management


This IDC Market Perspective discusses the tremendous potential generative artificial intelligence (AI) holds for tremendous promise for transforming treasury management by revolutionizing cash flow forecasting, enhancing risk management, and optimizing financial operations. Through its ability to generate realistic scenarios, automate routine tasks, and provide actionable insights, generative AI empowers treasury professionals to make informed decisions, improve operational efficiency, and drive strategic value. However, as organizations adopt generative AI, they must address concerns surrounding data quality and privacy, security, regulatory compliance, and integration capabilities to ensure responsible and trustworthy implementation. With careful integration and proper governance, generative AI has the potential to reshape treasury management, unlocking new levels of efficiency, innovation, and competitive advantage in the dynamic world of finance."Although some decision makers express reluctance to engage with this new technology, generative AI, if leveraged properly, has the capacity to revolutionize the treasury department, providing a more complex and nuanced approach to cash management, risk management, and other treasury management processes than ever before," says Jordan Steele, research manager of worldwide financial applications support, IDC.

Please Note: Extended description available upon request.


Executive Snapshot
New Market Developments and Dynamics
Introduction
Industry Dynamics and Challenges
Benefits of Generative AI Within Treasury Management
Scenario Analysis and Simulation
Strategic Planning and Data-Driven Decision Making
Enhanced Cash Flow Forecasting
More Informed Investments
Predictive Analytics
Use Cases
Kyriba
Trovata
Swedbank
Future Outlook
Advice for the Technology Supplier
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Related Research
Synopsis

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