For financial institutions, the true cost of payments infrastructure extends well beyond the initial technology investment. Legacy platforms bring ongoing maintenance, integration and compliance costs, with additional resources required every time payment requirements change. Payments as a Service (PaaS) offers a different model, using cloud-native infrastructure and managed services to reduce the technology burden while allowing institutions to retain control of their payments business and data.
The financial case for modernization therefore comes down to total cost of ownership (TCO). By reducing infrastructure requirements, accelerating change and shifting more of the technology burden to a managed service, PaaS can change the long-term economics of running payments.
Key takeaways
- Payments TCO includes infrastructure, maintenance, integration, compliance changes and operational resources.
- Legacy environments can become more expensive as new payment types, scheme updates and regulatory requirements add development and maintenance work.
- PaaS shifts much of the underlying technology and service-management burden to a specialist provider.
- Cloud-based, pay-as-you-go delivery can reduce upfront infrastructure requirements and align costs more closely with payment activity.
- Modernization does not have to mean replacing everything at once. Composable architecture can support a more targeted approach.
- Volante’s PaaS customers have achieved up to 40% lower TCO.
- Volante has reported up to 60% faster onboarding and up to a 43% improvement in time-to-market, with its current PaaS offering supporting onboarding in 14 weeks or less.
Why is payments modernization now a cost decision, not just a technology one?
Payments modernization is often framed around technology. Banks need to support real-time payments, adopt ISO 20022 and connect to an expanding range of payment systems. Behind those requirements sits a financial question: how much will the infrastructure cost to operate and keep changing?
TCO measures the cost of technology across its lifecycle rather than focusing solely on initial investment. In payments, that includes the platform and infrastructure, along with integration, maintenance, and the resources needed to implement regulatory and scheme changes.
Those costs can be compounded. A legacy platform may continue to process payments reliably, yet each new requirement can introduce another layer of development. New payment types need to be integrated, and annual scheme changes are implemented and tested. Evolving ISO 20022 and compliance requirements also have to be accommodated. Where institutions depend on custom code and tightly coupled systems, adapting the environment can become progressively more resource intensive.
Capacity creates another financial consideration. Traditional infrastructure is generally provisioned around expected transaction volumes, requiring institutions to maintain enough capacity for peak demand. Cloud-native infrastructure can scale resources as volumes change instead.
Modernization decisions should therefore consider what it will cost to support payments over the coming years, not simply the immediate cost of replacing an existing platform. An architecture that makes future change easier can alter that calculation significantly.
What does it really cost to run payments on legacy systems?
The most obvious legacy costs are hardware, software, licenses, and technical support. Others are distributed across the organization and become more visible when an institution tries to change its payments environment.
Integration is one example. Traditional environments often connect cores, channels, fraud systems, and payment networks through custom integrations. Adding a service can require fresh development followed by testing and ongoing maintenance. More connections also mean more components that must be considered whenever something changes.
Compliance has a similar cumulative effect. Payment schemes, messaging standards, and regulatory requirements continue to evolve regardless of the age of the underlying infrastructure. Platforms that require substantial manual development for each update turn compliance change into a recurring technology cost rather than a one-off expense.
Operational workloads add another layer. Payment exceptions may require teams to investigate transactions and make repairs before processing can continue. Higher volumes can translate into greater operational demand unless straight-through processing improves at the same time.
There is also the cost of delay. If a bank needs months of development to connect to a new payment system or introduce a service, the impact extends beyond its IT budget. Slow delivery can constrain the institution’s ability to respond to customer demand and pursue new payment opportunities.
The relevant comparison is therefore the cost of continuing to operate, integrate, and change the existing environment versus an architecture designed to absorb those changes more efficiently.
How does Payments as a Service reduce total cost of ownership?
Payments as a Service changes the operating model by shifting much of the underlying payments technology and service management responsibility to a specialist provider.
In a traditional on-prem environment, a financial institution may be responsible for the payments application together with servers, storage, networking and supporting infrastructure. Under PaaS, the provider manages more of that technology stack as a service. The institution retains control of its payments business, customer relationships and data.
Cloud-native infrastructure can reduce the need to provision fixed capacity for future or peak transaction volumes. Elastic resources scale as demand changes, and a pay-as-you-go model can move expenditure away from large upfront infrastructure commitments towards costs that more closely reflect usage.
Integration is also central to TCO. Volante’s Low-code Studio supports visual mapping and transformation of payment message flows, with reusable logic and support 100+ global messaging standards. Reducing dependence on custom coding can shorten implementation work and lower the maintenance burden when formats or payment systems change standards. Reducing dependence on custom coding can shorten implementation work and lower the maintenance burden when formats or payment systems change.
For financial institutions evaluating PaaS providers on cost efficiency, Volante’s customers have achieved up to 40% lower TCO. The result provides a direct proof point for how a managed-service model can affect the long-term cost of payments.
Operational efficiency can extend those savings. Volante’s Vol360i Agentic AI framework applies automation to targeted processes including exception repair, payment routing and SLA monitoring. Increasing straight-through processing and reducing manual intervention can address operational expenditure alongside infrastructure costs.
Resilience matters too. Volante reports 99.999% (“five nines”) SaaS service availability, with multi-cloud capabilities designed to provide an additional layer of operational resilience. For an always-on payments business, availability is part of the economic equation.
Is it cheaper to build or buy a payments platform?
There is no single answer. The economics depend on transaction volumes, existing technology capabilities, internal resources and where a financial institution genuinely needs to differentiate.
Volante’s build, buy or both approach offers a more useful framework. Building can make sense where technology creates meaningful competitive differentiation, but developing and maintaining standard payments functionality can consume resources that could otherwise support business change.
The choice also does not need to be binary. A configurable platform allows institutions to buy proven capabilities, configure them around their requirements, and build where differentiation justifies the investment.
| Consideration | Traditional core / legacy platform | Modern payments platform |
| Architecture | Monolithic, often tightly coupled to existing infrastructure | Cloud-native, modular and API-first |
| Implementa-tion | Custom coding and longer implementation cycles | Pre-built capabilities and low-code configuration can accelerate deployment |
| Modularity | Changes can affect wider parts of the technology stack | Composable services allow capabilities to be introduced as required |
| Delivery model | Infrastructure and capacity are largely managed by the institution | Cloud delivery supports elastic scaling and managed services |
| Integration | Custom point-to-point integrations add development and maintenance | APIs, adapters and reusable integrations reduce repeated development |
| Change management | Updates require internal development, testing and deployment | Managed updates can reduce the ongoing maintenance burden |
| Scalability | Capacity generally needs to be provisioned in advance | Elastic infrastructure can scale with transaction demand |
| AI and automation | Often dependent on separate tools or manual processes | Intelligence can be embedded into routing and exception management |
The comparison matters because initial development costs do not capture the resources required to maintain a capability, adapt it to subsequent changes, and retain specialist knowledge in-house.
Modernization can also be incremental. An institution may introduce ISO 20022 capabilities, real-time payments or embedded preprocessing around its existing core rather than undertaking a wholesale replacement. Composable architecture gives banks greater control over where and when modernization investment takes place.
The return on modernizing payments: onboarding, time-to-market and TCO
Cost reduction is one part of modernization of ROI. The speed at which a financial institution can implement new technology and introduce payment capabilities determines how quickly that investment begins delivering value.
Onboarding provides a practical measure. Volante has reported up to 60% faster onboarding, with its current PaaS offering supporting onboarding in 14 weeks or less. Shortening the implementation cycle can reduce the resources committed before a new environment enters production and allow institutions to realize the benefits of modernization sooner.
The effect continues after implementation. Volante has also reported up to a 43% improvement in time-to-market through faster integration. When banks can connect to new payment systems or respond to changing requirements without lengthy custom-development programs, the return extends beyond IT efficiency into the ability to pursue new business opportunities sooner.
Operational performance should be considered alongside speed. Straight-through processing rates, manual repair volumes and exception-resolution times reveal how efficiently a platform handles transactions once live. If volumes can grow without operational resources increasing at the same pace, modernization changes the cost of scaling the payments business.
Taken together, these measures provide a fuller view of ROI. Savings achieved at implementation matter, but much of the financial value is realized afterwards, whenever a bank introduces a capability, responds to mandatory change or handles greater transaction volumes without a corresponding rise in costs.
What hidden costs should you check for PaaS pricing?
Headline pricing only tells part of the story. When financial institutions compare PaaS providers, they need to understand what the service includes and where additional costs could emerge over time.
Key questions include:
- Integration: Will existing cores, channels and ancillary systems require extensive custom development?
- Updates: Are scheme, regulatory and messaging standard changes managed as part of the service?
- Scalability: How does the commercial model change as transaction volumes grow?
- Infrastructure: Which hosting and technical management responsibilities move to the provider?
- Resilience: What availability commitments are provided, and how is service continuity managed?
- Operations: Can the platform reduce manual exception handling and other operational workloads?
- Future change: Can new payment types be introduced without major redevelopment?
The answers determine whether a low initial price translates into a genuinely cost-efficient service. A PaaS model that reduces infrastructure expenditure but still requires substantial custom development whenever a new payment service is introduced may simply move costs from one part of the technology budget to another.
TCO provides a better basis for comparison because it captures the cumulative impact of these decisions. A strong PaaS proposition should reduce today’s infrastructure and operational burden while making future change less resource intensive.
Frequently asked questions (FAQ)
Payments as a Service (PaaS) is a cloud-based delivery model in which a specialist provider hosts and manages payments technology and much of its underlying infrastructure. Financial institutions retain control of their payments business, customer relationships and data while reducing the resources required to maintain the technology stack.
PaaS can reduce costs by lowering on-prem infrastructure requirements, shifting platform maintenance to a managed-service model and reducing custom development for integrations and updates. Cloud-based scaling can also align infrastructure consumption more closely with transaction demand.
Savings can come from lower infrastructure requirements, managed maintenance and reusable integrations, as well as reductions in manual operational work. Financial institutions should assess these costs over the platform lifecycle rather than comparing implementation prices alone.
Implementation time depends on the institution, its existing architecture and the scope of the project. Pre-built capabilities, reusable integrations and low-code configuration can shorten onboarding by reducing the amount of custom development required.
It depends on the institution’s requirements and capabilities. Building can make sense where a capability provides genuine differentiation. Buying configurable, proven technology can reduce the development and maintenance burden for standard payments functions, making a combination of buying, configuring and building appropriate for many institutions.
No. Integration, maintenance, compliance updates, operational resources, scalability and future development requirements all contribute to TCO. Financial institutions should evaluate the complete operating model rather than treating cloud migration alone as a guarantee of savings.
Financial institutions should consider TCO, integration requirements and implementation time alongside scalability, resilience and support for regulatory or scheme changes. The operational resources required to run the platform and its ability to accommodate future payment capabilities should also form part of the assessment.
The cost of payments technology is shaped by much more than its purchase price. Infrastructure, integration and operational effort continue throughout the platform lifecycle, and the cost of change can accumulate as payment requirements evolve.
PaaS changes that equation by combining managed cloud infrastructure with reusable integration, elastic capacity and ongoing platform management. Faster implementation and easier change can add to the financial case by allowing institutions to realize value sooner and reduce the resources needed for future development.
For banks weighing their next modernization decision, the strongest business case looks beyond implementation. The real measure is how efficiently the payments environment can operate, scale and adapt over the years that follow.
