Automation is nothing new in the world of treasury management, and treasury management systems have been working to help improve the efficiency and accuracy of treasury groups for some time. However, advances in the field of AI have led to a significant change in this landscape, and the potential now exists to significantly enhance the role of technology in managing treasury functions. However, how can you cut through the rhetoric and assess where AI can help your group – and indeed, whether this is right for you?

Cash forecasting, fraud detection and working capital optimization – assessing the use cases for AI in treasury management

Aligning your data management strategies with those needed for successful transformation to AI use

What hurdles exist in the deployment of AI technology within the treasury management function, and how can you overcome these?