Real-time expectations have moved faster than the systems beneath them, and the next phase of financial modernisation is operational, not experimental. For most of its first decade, Open Banking was treated primarily as a fintech development: a regulatory initiative that introduced new capabilities for payments and financial data access, often deployed to support a single use case or customer journey.

That description no longer reflects what is happening across financial services.

Across banking, payments and enterprise finance, the expectations placed on financial operations have changed faster than the infrastructure supporting them. Customers and businesses now expect payments, verification and financial visibility to happen in near real time, while many institutions still rely on fragmented operational systems designed around delayed processing and batch reconciliation.

Closing the gap between those expectations and how financial operations actually function is becoming an infrastructure challenge. Open Banking is increasingly the layer helping institutions solve it.

Expectations have outpaced the operational stack

Many financial operations still run on a periodic model. Data is imported on a delay, reconciliation happens after the fact, and verification is handled as a separate manual step at the beginning of a customer or supplier relationship.

That model was coherent when the surrounding business environment operated in the same way. It is becoming harder to sustain when customers, partners and internal teams expect continuous visibility and faster settlement as standard.

For banks and payment providers, the challenge is no longer whether real-time financial services are technically possible. The challenge is whether legacy operational environments can support them consistently, securely and at scale.

Institutions are increasingly expected to deliver instant payments, continuous account visibility and embedded financial experiences while still operating across infrastructure originally built for periodic processing cycles.

The constraint is rarely access to data. Under the UK’s regulated Open Banking framework, authorised and registered providers can access live account and transaction information at scale, with the customer’s explicit consent and authentication. The constraint is that much of the operational stack consuming that data was designed for batch cycles rather than continuous flow.

Fragmentation is where the inefficiency lives

The harder problem is structural. Payments, data access and verification have traditionally been solved by separate providers, each with its own integration layer, operational dependencies and governance requirements.

Every additional connection introduces another operational dependency, another resilience risk and another point of governance institutions must monitor. As transaction volumes and real-time service expectations increase, fragmented infrastructure becomes more than an efficiency problem. It becomes a scalability and operational resilience challenge.

Reconciliation remains one of the clearest examples. When payment data, bank data and internal records sit across disconnected systems, matching transactions often remains partly manual. The operational cost of that work, particularly across accounts payable, treasury and invoice processing functions, grows with every transaction rather than remaining flat.

At scale, fragmentation stops being a minor operational overhead and starts to define how efficiently financial institutions can grow without continuously adding operational complexity behind the scenes.

From regulation to operational infrastructure

This is why Open Banking is increasingly better understood as infrastructure rather than as a standalone fintech capability.

The more useful comparison is cloud computing, which evolved from a technology decision into a foundational layer that modern systems are simply expected to build upon. The organisations handling this transition most effectively have stopped asking which Open Banking capability to add. Instead, they are asking how payments, financial data and verification can operate on a shared, regulated infrastructure foundation that the wider organisation can build against confidently and securely.

Framed this way, Open Banking becomes an enablement layer rather than a product category. It is the infrastructure that allows real-time financial operations to function consistently instead of being bolted onto processes that still fundamentally run on delay.

The next competitive divide in financial services is unlikely to be determined by which institutions offer Open Banking access alone, but by which can operationalise real-time finance reliably across their wider infrastructure environments.

Financial capability is moving inside the platforms

This shift is most visible in the rise of embedded financial services.

Increasingly, payments, verification and financial data access are expected to happen directly inside the software environments businesses already use, rather than through separate banking or payment journeys running alongside them.

This is also changing the role financial institutions play within digital ecosystems. Banking capabilities are increasingly expected to operate invisibly inside accounting platforms, ERP systems, payroll software and B2B marketplaces through APIs and embedded workflows.

Accounting platforms provide a strong example of the direction of travel. The movement is away from periodic close cycles and toward continuous reconciliation models that rely on live access to bank data rather than delayed imports.

Payroll and ERP systems are following the same pattern. Both increasingly depend on real-time financial visibility, whether to confirm liquidity before a payroll run or to maintain operational reporting that reflects current financial positions rather than historical snapshots.

Verification is evolving in parallel. Instead of remaining a one-time onboarding requirement, account, income and financial verification checks are increasingly becoming embedded operational processes, often supported by live financial data at the point decisions need to be made.

What financial institutions should prioritise

The first step is honest operational mapping. Many institutions underestimate how many separate providers, disconnected workflows and manual interventions exist between a transaction occurring and it being fully reconciled.

From there, the priorities become consolidation, resilience and operational consistency.
Building around a shared, regulated infrastructure layer for payments, financial data and verification reduces the number of operational dependencies institutions need to manage while narrowing the governance surface that must be monitored across them.
None of this removes the obligation to get oversight right.

Real-time financial infrastructure raises the stakes for governance, operational accountability and regulatory oversight. Building on shared infrastructure does not reduce an institution’s responsibility for resilience, security or customer protection.

The next phase is operational

The first phase of Open Banking has proved that regulated financial data sharing and payment initiation can work at scale. The technical and regulatory foundations are now well established.

The question now is whether financial institutions, payment providers and the platforms serving them can run their operations reliably on top of that infrastructure while meeting growing expectations for real-time financial services.

That challenge is no longer experimental. It is operational.

The organisations best positioned for the next phase of financial services modernisation will be those that redesign operational infrastructure around real-time principles, rather than continuing to layer modern customer expectations onto systems that were never built to support them

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