Machine learning, generative AI, and agentic AI can seem like vague, ethereal concepts at times, but their use is becoming quite substantive. This session will explore real use cases for treasury management and show how organizations can both justify and optimize their use. How a company shows value for these automation tools directly relates to an organization’s ability to adopt and benefit from this technology.

This session will explore what a treasurer needs to know and do with AI in finance in order to achieve an outsized impact for their organization. The key concepts will be supported by real-life use cases and examples.