From Automation to Anticipation: How AI is Reshaping Trade Finance in Africa

From Automation to Anticipation: How AI is Reshaping Trade Finance in Africa

By Kevin Holmes
Product Development Portfolio Head, Head of Trade and Working Capital, Broader Africa, RMB

A Sector Ready for Change

Trade finance has always been a space defined by complexity, full of paperwork, risk, and time-sensitive decisions. But as the African financial sector continues to digitise, artificial intelligence (AI) is quietly reshaping how banks and businesses manage these processes. It’s not just about speed or automation anymore. It’s about using technology to think ahead, anticipate client needs, and support smarter, more inclusive trade. 

Africa is at a turning point. The African Continental Free Trade Area (AfCFTA) is opening new trade corridors, and with fintech gaining momentum, the pressure to modernise trade finance is growing. The opportunity is significant. AfCFTA is expected to boost intra-African trade to $1.5 trillion by 2026, but the systems supporting that trade need to evolve.

AI offers a way to do that. It helps us move from reactive to proactive, from manual to intelligent, and from one-size-fits-all to tailored solutions. One of the most immediate shifts we’ve seen is in document verification. Traditionally, reviewing trade documents like bills of lading or certificates of origin could take days and involved a lot of manual checking. Now, with AI tools in place, we’re able to process and flag issues in under an hour. That means fewer delays, fewer errors, and a better experience for clients. 

For example, an exporter sending goods to Asia can now get early feedback on their documentation before submission. That kind of responsiveness helps avoid back-and-forth delays and builds trust. 

From Efficiency to Insight

The real shift is in how we use data. By analysing trade patterns, such as recurring letters of credit or seasonal trade flows, we’re starting to anticipate what clients might need next. If a business consistently imports goods from Europe at the start of each quarter, we could in the future proactively offer tailored financing options before they even ask. This kind of predictive insight helps us move from being a service provider to a strategic partner.

RMB partnered with Surecomp to adopt Trade Finance-as-a-Service (TFaaS), enhancing our digital capabilities and reducing operational costs. These efforts position us as a leader in a region where the AI market is projected to grow from $4.5 billion in 2025 to $16.5 billion by 2030.

We are also working toward full system integration with AI platforms by Q1 2026.. Our goal is a seamless workflow, from client input to Swift message generation, minimising manual intervention and enhancing reliability. This supports our vision of zero manual intervention from instruction to execution, ensuring efficient and compliant trade processes. 

The Path Forward

We’re realistic about the challenges. Regulatory frameworks across Africa are still catching up. In some markets, approvals for cloud-based systems can take over a year. Data privacy concerns are valid and need to be addressed thoughtfully. And as we automate more tasks, we have to make sure we’re supporting our people through upskilling and transition.

Globally, countries like Singapore and the UAE are already running fully digital trade ecosystems. South Africa has the potential to do the same, but it will take collaboration across banks, regulators, and technology partners.

AI isn’t a silver bullet, but it’s a powerful tool. In trade finance, it’s helping us move faster, think smarter, and serve clients better. Not just adopting technology but learning how to use it to create value in ways that matter.

As Africa steps into a new era of trade, the question is no longer whether we digitise, but how we do it in a way that brings people, policy, and platforms together to unlock real progress.

ENDS