This lesson examines how automation and emerging technologies, including AI, are transforming treasury operations. 

5.1. The Role of Automation in Treasury

Technology can improve the accuracy and security of treasury transactions, delivering solutions to manage payments infrastructures, disaster recovery, and automation.  The ACT’s Treasury Systems, Architecture & Innovation MicroTopic requires the ability to “Explain how automation drives operational efficiency in treasury.”  EuroFinance’s training on “Process-driven and AI-Enabled Treasury” focuses on automation as a key enabler of treasury excellence. 

5.2. AI and Emerging Technologies

Emerging technologies are reshaping treasury operations. The ACT syllabus covers “APIs, AI and Future Digital Tools” as a core topic.  Key applications include:

• AI in Connected Cash: AI for a day in the life of a cash manager, including predictive analytics in cash flow forecasting. 

• Deep Learning in Risk Management: Exposure identification and risk analysis.

• Large Language Models (LLMs): Treasury Policy and SOP automation, and treasury academy for upskilling. 

5.3. Data Foundation and System Architecture

Enabling AI and automation requires a strong data foundation. EuroFinance’s course covers “Connected cash process,” “Integration with commercial processes,” and “System architecture” as prerequisites for AI-enabled treasury.  The integration of AI tools in TMS/ERP and the development of a robust “Data Model” are key considerations.