Treasury Priorities for Multinational Corporations - Middle East and Africa

34 | Treasury Priorities for Multinational Corporations This adoption will happen in two main ways: • Active Adoption: A smaller group of companies will deliberately build or buy proprietary AI solutions for a competitive edge in areas like advanced forecasting and risk management. • Passive Adoption: The majority will adopt AI without launching a dedicated “AI project.” Instead, they will consume it as a standard feature embedded within the technology they already use – including their Treasury Management Systems (TMS), banking platforms, and ERPs, which are increasingly AI-powered. Areas of implemented or interest in implementing AI 40% 30% 20% 10% 0% Cash flow forecasting Treasury operations automation Fraud detection & prevention Payment processing efficiency Invoice matching & reporting Risk assessment& management Other 36% 30% 30% 27% 23% 23% 2% Ultimately, the question for treasurers is not if they will use AI, but how it will integrate into their daily operations – either by choice or as a natural evolution of their existing tools. Corporations are strategically aiming to deploy AI across their financial operations to achieve greater precision, efficiency, and security. Their primary focus for AI implementation is in enhancing cash flow forecasting, recognizing its critical role in optimizing liquidity and working capital management. Beyond this, there’s a desire to leverage AI to streamline payment Most organizations will adopt AI passively through existing platforms, not dedicated AI projects.