EuroFinance Deep Dive: AI in treasury
Cash forecasting is central to modern treasury management. In a landscape shaped by uncertainty, visibility over cash positions become more critical to maintain, yet harder to achieve. As volatility increases, even modest forecasting deviations can have significant financial consequences. At the same time, many forecasting challenges originate within organisational structures – fragmented systems, inconsistent data ownership and differing assumptions across functions – rather than analytical limitations.
Artificial intelligence is a key response to these pressures. Yet the practical implications for treasury teams are uneven and sometimes misunderstood.
This Deep Dive examines AI in cash forecasting, emerging benefits, and the central role of data integrity and governance.
Download the full report for EuroFinance survey results, complete analysis and practitioner case studies.