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Artificial Intelligence in Treasury and Payments

From Fragmentation to Intelligence -Unlocking Value through Data, Governance, and Control

By Chryssi Chorafa (Director of TerraEvra) and Professor William Scott-Jackson (Oxford Centre for Impact Research)

Abstract

Over the past year, there has been growing discussion about how Artificial Intelligence (AI) will change the way businesses operate. Treasury and payments are no exception. AI could reduce manual effort, improve forecasting, strengthen risk analysis, and support faster and more informed decisions. Yet an important question remains. Has AI truly transformed treasury and payments so far, or are many organisations still in the early stages of adoption?

There is increasing recognition that treasury and payments contain many repetitive, administrative and data-heavy processes that AI could improve by reducing cost, rework and operational risk. At the same time, however, value of AI is not yet realised. In many cases, the challenge is not the absence of tools, but the weakness of the foundations beneath them, particularly fragmented data, inconsistent standards, weak governance and limited explainability.

In this paper, I examine how AI is beginning to shape treasury and payments, where it is creating value, what is holding organisations back, and what will be required if AI is to move from experimentation to meaningful and controlled impact.