Strategy for moving to an as-a-service model in banking

The move to as-a-service operating models isn’t just a trend in capital markets; it’s becoming the defining shift in how banks manage technology

For CIOs, CTOs and IT leaders, the question isn’t if, but how to structure the transition. The answer lies in recognizing where banks can differentiate themselves, what can be commoditized and how to align governance, organization and financial strategy with a new reality.

Three plays for adopting as a service

For banks, a solution for trading systems as a service (TSaaS) will typically have three main elements:

Trading Systems as-a-Service

Banks approach this transformation in different ways, but most strategies fall into one of the following categories:

• Legacy versus innovation: Offload the heavy lift of running core systems, so in-house teams can focus on new solutions and innovation. This approach requires clear service-level agreements (SLAs), an understanding of upstream/downstream system dependencies and fast decision-making to keep the service running smoothly.
• Return on investment: Monetize existing, heavily-invested trading or risk platforms by offering them to other banks as a service. The goal is to develop a run-and-change operating model that supports multiple participants while being straightforward to maintain.
• Time-to-market: Launch new products faster by using tactical as-a-service platforms, avoiding the 6 to 9 month delay typical of legacy systems. The challenges are managing how legacy and new platforms run in parallel and planning for their future convergence.

Building a bank’s strategy for transition to as-a-service platforms requires a phased and structured approach with four essential steps.

It’s not enough to say, “Let’s outsource the non-differentiating tech.” Leaders must dig deep to determine which processes truly generate value and which merely represent the cost of doing business.

For instance, a bank’s highly skilled trading team in a core market may be a real differentiator. But the workflows and supporting systems they use could be vanilla and therefore prime candidates for as-a-service transition.

A rules-based view of business processes helps identify what stays and what can be shifted. Only then can IT leaders find the right service partners to run commoditized functions.

An example of differentiating and non-differentiating business areas from a DXC capital markets client.

Banks already face complex regulatory and risk obligations. Moving to an as-a-service model raises the bar further, as a third party will be managing a significant portion of the tech estate.

Regulators now roll cloud outsourcing into general outsourcing frameworks, meaning banks need to treat as-a-service adoption with the same rigor. That means:

• Establishing clear supplier governance and review mechanisms
• Tracking service metrics consistently across providers
• Defining the level of detail required in provider reports to satisfy internal compliance and external regulators

The payoff is a consistent view across multiple services, making it easier to report performance and meet regulatory commitments.

A governance and SLA blueprint

Once the scope and governance are defined, the more challenging human aspect begins. Banks must simplify years of organically grown, complex processes. As-a-service models thrive on standardization, not endless bespoke customizations.

This is where change fatigue can hit. Teams accustomed to highly tailored systems may resist simplification. The best approach is a phased change program that highlights benefits at every stage — faster processes, easier support, reduced costs and more time spent on business value instead of maintenance.

Done well, this shift creates an “innovation flywheel” where simplified processes drive faster change, and faster change drives greater adoption.

The move to as a service isn’t just about technology. It also reshapes financial models.

Traditionally, banks invested in CapEx (upfront hardware, implementation and depreciation). As a service flips that to OpEx. Costs scale with consumption, which starts small during pilot phases and grows with usage.

This cost transparency can be powerful. CIOs can now see the total cost of ownership (TCO) for specific business lines, identify areas for consolidation and make smarter investment choices.

Choosing the right partners is critical. Decision criteria should extend beyond price and SLAs to include resilience, security, continuity, disaster recovery and even ownership structure. These factors are non-negotiable if the service underpins critical functions.

Even with these four steps, banks need a guiding framework; a target operating model (TOM). TOMs align business, IT and people goals. They ensure that every decision supports cost savings, faster time-to-market and better governance.

At a granular level, a TOM defines which processes should remain in-house (pricing, advanced risk calculations, client channels) and which can be outsourced as a service (back office, regulatory management, routine risk reporting).

By drawing these boundaries, banks can focus valuable resources on true differentiators, while leveraging fintech partners for efficiency and scale.

In closing

As-a-service journeys are unique. Each bank balances innovation, risk and cost against its own differentiators. However, the principles are clear: identify what matters most, standardize where possible, enforce governance, align financials and work toward a coherent TOM.

For CIOs, CTOs and IT leaders, this is less about outsourcing technology and more about reshaping how banks deliver value. Done right, the as-a-service model can simplify operations, unlock innovation and future-proof your technology strategy.