Authored by Citi and Zanders, with contributions from NeuGroup
This white paper explores how corporate treasuries are beginning to apply generative AI (GenAI) to improve productivity, automate processes, and enhance decision-making. Drawing on NeuGroup peer research and member insights, the paper benchmarks current adoption levels and identifies key barriers and success factors shaping treasury’s AI journey.
While most companies remain in the early stages of identifying and experimenting with GenAI use cases, a small number of leaders—typically larger, tech-forward organizations—are starting to demonstrate real value from targeted deployments. The paper introduces a practical four-stage framework to guide treasury teams from opportunity identification through to optimization, emphasizing data readiness, governance, and an “AI-first” mindset. NeuGroup’s contribution highlights peer perspectives on the challenges treasuries face in adopting GenAI, including resource constraints, data quality issues, and the need to build trust in AI outputs. It also showcases how early adopters are redefining talent needs and experimenting with innovative treasury applications.
