Overcoming the pitfalls and predicaments of as-a-service transition

The as-a-service model has become the backbone of digital transformation across industries. In particular, financial services institutions view it as a means to scale, innovate and transition from CapEx-heavy to OpEx-based investments.

However, as adoption accelerates, CIOs and IT leaders must remain mindful of the risks and trade-offs associated with it. The transition isn’t just about technology, it’s about people, process and long-term business resilience.

A legacy core platform might have hundreds of employees dedicated to its upkeep. Moving to an as-a-service platform changes the game. Some roles will evolve, others disappear. Reskilling is essential, but organizations often underestimate the scope and cost. Upskilling timescales can stretch into years, and banks that fail to invest risk losing key institutional knowledge and resources.

On the other hand, outsourcing the infrastructure footprint allows teams to focus more on higher-value differentiating activities. Striking the right balance is critical.

Infrastructure growth and competitive pressure in the cloud market

Not all systems are created equal. Many banks still wrestle with applications that are decades old, tied to significant sunk costs. Deciding which workloads to retire, refactor or outsource sparks territorial debates across business units. While it’s tempting to protect legacy investments, holding on too long increases technical debt and security exposure.

Case in point: the UK’s TSB migration failure in 2018 was rooted in poor legacy transition planning, for which TSB was fined £48.7 million (plus £2.4 million post-migration costs). In addition, the Prudential Regulation Authority (PRA) fined the bank’s CIO £81,620 (failure to obtain sufficient assurance), while its customers were locked out of their accounts for weeks.

Change fatigue is real. Large-scale transitions can weigh heavily on already stretched IT teams, and create friction with BAU operations. The risk isn’t just delivery delays; stakeholder confidence is likely to perish if core functionality is compromised. Incremental value delivery is a safer bet than a big-bang switch. Breaking programs into phases with short, visible wins helps keep both executives and end users on board.

The as-a-service model may appear cheaper upfront, but costs can escalate over time. Elastic scaling is powerful, but it often leads to doing more, which drives bills higher. Gartner predicts that by 2027, 90% of organizations will have adopted hybrid cloud, and by the end of 2025, cloud spending will reach $723 billion (33% of organizations are currently spending over $12 million a year).

A clear phasing strategy (value delivered in parallel with spend) is essential for proving ROI and sustaining executive buy-in.

Financial institutions remain prime targets for attackers. High-profile breaches, such as Capital One in 2019, where 100 million customer records were exposed, show that cloud misconfigurations can be just as damaging as on-premise vulnerabilities. Moving to an as-a-service model doesn’t remove accountability; it shifts the security boundary and demands new skill sets in areas like identity management, encryption and monitoring shared responsibility agreements.

Meeting localization and compliance requirements

Data sovereignty rules are getting tighter. The EU’s Digital Operational Resilience Act (DORA) adds new layers of oversight for banks working with third-party providers. For global banks, the challenge is stitching together a consistent approach across jurisdictions with fragmented regulations. Regional banks, meanwhile, may face limited cloud provider options if in-country datacenters aren’t available.

Without executive sponsorship and enterprise-wide buy-in, friction between teams is inevitable. Cloud and platform strategies need to be business-led, not just tech-driven. Aligning incentives and outcomes (from compliance teams and developers to front-office staff) creates the conditions for smoother adoption.

Building a resilient strategy

Transitioning to an as-a-service model is a continuous journey that depends on robust planning, clear governance and a steady investment in skills. Successful organizations build in flexibility, treating cloud and platform adoption as living programs that evolve in response to business needs, regulatory changes and emerging risks. The biggest pitfall isn’t the technology; it’s underestimating the scale of cultural and operational change required.

In most cases, SaaS is owned and delivered by the vendor, instead of being jointly run with the customer. For IT leaders, that means less focus on building and operating platforms in-house, and more on managing relationships with external providers.

As well as delivering the software, the right partner provides the operational frameworks, compliance assurances and performance guarantees that enterprises rely on. This value-add mindset highlights how vendor-led SaaS has become the default choice for enterprises.

Providers are responsible for managing the service from start to finish, including updates, patches, security monitoring and disaster recovery. For CIOs and architects, the priority is ensuring that these services align with business and regulatory requirements. Clear service-level agreements (SLAs) and transparent escalation processes are imperative.

Strong providers will:

• Explain how they maintain high availability, disaster recovery and backups

• Show how they handle identity and access management securely

• Share patching and vulnerability strategies

• Provide consistent processes for updates and change delivery

Connecting the dots

With SaaS, control doesn’t disappear; it shifts. Enterprises still define the business goals, compliance requirements and integration standards. The vendor runs the service, but the enterprise sets the direction. Done right, this model enables IT teams to spend less time firefighting infrastructure issues and more time delivering competitive advantages.