Financial systems shift to shared pathways, how open finance prepares the work environment for smart agents?

A decisive milestone recurs in the evolution of major tech platforms: it begins with digitizing individual products, then moves to linking them, before competitive advantage shifts from the efficiency of a single tool to the intelligence of the entire system. This path, which smartphones and cloud computing have traversed, is now repeating in the artificial-intelligence sector, where the focus moves from isolated models to coordinated work among multiple models, tools and interconnected workflows. At present, the financial-services sector is reaching its own turning point after two decades of innovations that delivered digital banks, payment platforms and advanced accounting software, yet left financial data scattered across disparate gateways and institutions.

This fragmentation imposes a direct economic cost on the business environment in the region. When an employer manages payments through one system, keeps funds in another bank, issues invoices from a third platform, and reconciles books in a separate software,the user themselves becomes the manual integration layer that connects those separate systems.The seriousness of this disconnect is evident in the International Finance Corporation’s estimates, which put the financing gap for micro, small and medium enterprises in emerging and developing economies at about $5.7 trillion, with the Middle East and North Africa recording one of the highest ratios relative to GDP at an average of roughly 30 percent. Companies that have regular cash flows and solid revenues may be denied credit simply because their suitability indicators are spread across platforms that offer the funder only a narrow view.

Open finance here provides the infrastructure that goes beyond the traditional concept of open banking, as it does not stop at bank-account data but extends to lending, accounting platforms and investment tools. This regulatory vision is embodied in the framework established by the Central Bank of the UAE’s Open Finance (the UAE Central Bank), which created a shared data-exchange and transaction-initiation infrastructure based on an API hub and a common trust framework, generating standardized pathways that allow financial institutions and fintech firms to build integrated experiences that operate on a single, reliable data context.

The Brazilian experience provides practical evidence of the outcomes of building this comprehensive infrastructure across the entire system. According to data from the Brazilian Central Bank, data-exchange operations subject to customer consent between the launch of open finance in 2021 and the end of June 2025 generated credit transactions worth 31 billion Brazilian reais, including 5.4 billion reais of new credit offered by fintech companies to roughly six million customers, based on unified regulatory standards for authentication, security and joint consent.

This interconnected infrastructure gains amplified weight as independent agents enter the financial landscape.Current-generation artificial intelligence can explain a financial movement or summarize expenses, but linking it to open-finance infrastructure gives it the context needed to make direct decisions and execution actions. Rather than merely notifying an employer of an imminent liquidity gap, a financial agent, within pre-defined authorizations, can assess available options, schedule payments, or shift liquidity among eligible accounts to avoid operational shortfalls.

This development places financial leaders and tech teams in the Gulf, Egypt and the wider region before a fundamental shift in building banking and digital services. The issue is no longer limited to adding a smart conversational interface; it requires defining the scope of delegation granted to intelligent systems, drafting clear rules of liability when an execution error occurs, and establishing continuous-approval mechanisms for the agent instead of relying on a single-transaction consent. Building a financial-linking architecture alongside the evolution of the AI layer gives regional markets the chance to design their systems around tomorrow’s requirements rather than retrofitting old pathways that do not meet autonomous-operation needs.