This informal CPD article, ‘From AI Talk to Daily Practice: How Technology Is Reshaping Finance in MEA’ was provided by Mohamed Bahloul, L&D Section Head at Beacon FinTrain, providers in Financial Learning & Development solutions in Egypt & Middle East.
Across the Middle East and Africa, finance teams are working in conditions that leave little room for delay or trial-and-error. Currency pressure, regulatory change, and tighter margins are now part of daily operations, not exceptional events.
In this setting, technology and artificial intelligence (AI) are no longer just concepts. They are gradually becoming part of how finance teams plan, analyze, and make decisions.
This change is not about doing finance in a new way. It is about making finance clearer.
Finance Roles Are Changing in Subtle Ways:
For years, finance functions focused on control, reporting, and accuracy. Those responsibilities still matter. What has changed is the expectation that finance should also help the business look forward.
This is especially visible in planning and analysis roles. Instead of spending most of their time preparing reports, finance professionals are expected to explain movements, test assumptions, and advise management on possible outcomes.
Technology helps by cutting down manual work and making analysis faster. AI does not replace human judgment. Instead, it supports it by handling large amounts of data much faster than people can.
What AI Looks Like Inside MEA Banks:
In many banks in the UAE, Egypt, and Saudi Arabia, AI-powered tools are already used in finance work, even if they are not always called AI.
Examples include:
- Forecasting models that update faster when interest rate or foreign exchange assumptions change
- Early signals that highlight unusual trends in credit or portfolio performance
- Scenario analysis that allows finance teams to test multiple outcomes without rebuilding models
These tools let teams act sooner, instead of only explaining results after they happen.
Regulation Is Accelerating Adoption:
Regulations across the region are a major reason why finance teams use more technology.
In Egypt, the national electronic invoicing system requires companies to report transactions in real time. The system was rolled out nationally starting in 2020, according to the Egyptian Tax Authority. This alone has pushed many finance teams to rethink how data is captured, validated, and reported.
Stricter audits and real-time reporting across the region make manual work harder to keep up. Technology helps by cutting errors, making tracking easier, and speeding up reporting.
The benefit is not just meeting rules. It also saves time.
The Real Barrier Is Not Technology:
Even though tools are available, how much they are used varies a lot between organizations. The main barrier is usually not money or access.
The real issue is confidence.
Many finance professionals are not sure how AI results are made, what assumptions are behind them, or when to question them. This uncertainty often means the tools are not used much, even when they are available.
Knowing how technology helps with decisions is now a key skill for finance professionals, not just a technical job.
Why Learning Matters More Than Tools:
This is where Learning and Development becomes very important.
The goal is not to teach finance professionals how to build algorithms. It is to help them learn how to use technology in the right way.
Effective learning in this area focuses on:
· Real banking and finance scenarios
· Clear explanations of outputs and limitations
· Practical application, not theory
· Business language rather than technical terms
When learning is based on daily work, using new tools feels more natural.
MEA Context Matters:
Adopting technology in finance does not happen on its own. The local context is important.
According to Oxford Insights’ Government AI Readiness Index 2024, the UAE ranked thirteenth globally, Saudi Arabia twenty-second, and Egypt sixty-fifth out of 188 countries. These national strategies shape how quickly AI concepts move from policy into organizations.
At the same time, MEA finance teams often deal with mixed data quality and old systems. So, progress usually happens in small steps instead of big changes.
One use case. One team. One improvement.
What that means:
The main goal is not just to promote technology as the answer. The focus should be on helping people understand it.
This means helping finance and learning professionals link technology to real decisions, real risks, and real business results. It also means asking practical questions before using new tools and building skills before expecting results.
In uncertain times, systems are important. But people who know how to use them, question them, and explain their results are even more important.
This is how lasting skills are built, and how finance in the Middle East and Africa keeps moving forward, steadily and with purpose.
We hope this article was helpful. For more information from Beacon FinTrain, please visit their CPD Member Directory page. Alternatively, you can go to the CPD Industry Hubs for more articles, courses and events relevant to your Continuing Professional Development requirements.
Reference:
- Thomson Reuters Invoicing updates for Egypt: https://europe.thomsonreuters.com/compliance/regulatory-updates/egypt
- Trial run of 'e-invoice' system to be launched on April 15 https://sis.gov.eg/en/media-center/news/trial-run-of-e-invoice-system-to-be-launched-on-april-15/
- Egypt Invoicing https://invoicing.eta.gov.eg/
- Oxford Insights’ Government AI Readiness Index 2024 https://oxfordinsights.com/wp-content/uploads/2024/12/2024-Government-AI-Readiness-Index-2.pdf
