-
Featured services
2026 Global AI Report: A Playbook for AI Leaders
Why AI strategy is your business strategy: The acceleration toward an AI-native state. Explore executive insights from AI leaders.
Access the playbook -
Services
View all services and productsLeverage our capabilities to accelerate your business transformation.
-
Services
Enterprise Networking
-
Services
Cloud
-
Services
Consulting
-
-
Services
Data and Analytics
-
Services
Infrastructure Solutions
-
Services
Global Data Centers
-
Services
CX and Digital Products
-
Services
Application Services
-
-
Services
Digital Workplace
-
Services
Business Process Services
-
Services
Generative AI
-
Services
Cybersecurity
-
Services
Enterprise Application Platforms
Accelerate outcomes with agentic AI
Optimize workflows and get results with NTT DATA's Smart AI AgentTM Ecosystem
Create your roadmap -
-
-
Insights
Insights
Recent Insights
-
The Future of Networking in 2025 and Beyond
-
Using the cloud to cut costs needs the right approach
When organizations focus on transformation, a move to the cloud can deliver cost savings – but they often need expert advice to help them along their journey
-
Make zero trust security work for your organization
Make zero trust security work for your organization across hybrid work environments.
-
-
2026 Global AI Report: A Playbook for AI Leaders
Why AI strategy is your business strategy: The acceleration toward an AI-native state. Explore executive insights from AI leaders.
Access the playbook -
-
Discover how we accelerate your business transformation
-
About us
CLIENT STORIES
-
Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
-
-
CLIENT STORIES
-
Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
-
2026 Global AI Report: A Playbook for AI Leaders
Why AI strategy is your business strategy: The acceleration toward an AI-native state. Explore executive insights from AI leaders.
Access the playbook -
- Careers
Topics in this article
Financial services applications are no longer sitting quietly in the background.
I hear this every day in conversations with our clients in South Africa and across the Middle East and Africa. Far from being back-office utilities, applications have now become one of the primary gateways into an organization. This means they’re no longer just supporting the business — they are the business.
Although applications still enable processes, they’re also facilitating partnerships, innovation and growth, and this is what makes them so strategic.
The app defines the entire experience
When you open your banking application, apply for insurance or make a payment at a retail terminal, you’re not communicating with your bank or financial services provider in the traditional sense. You’re interacting with an application layer that defines your entire customer experience — which has to be seamless, immediate and intelligent.
Customers now expect real-time responses and hyperpersonalized interactions. They want services to work flawlessly, every single time.
Underpinning it all is a shift to ecosystems powered by application programming interfaces (APIs), where financial institutions are no longer operating in isolation. Banks are becoming platforms, and APIs are the connectors. Entire ecosystems of fintechs, retailers and telcos are plugging into these platforms to create new business models and revenue streams.
That’s exactly where modernization becomes critical. Delivering these real-time, connected and experience-driven expectations isn’t possible on architectures that were not designed for this level of speed, scale and integration.
The legacy — or “heritage” — challenge
When we talk about modernization, we inevitably talk about legacy systems. But a client once stopped me mid-sentence and said: “Please don’t call it legacy. It’s our heritage.”
That stuck with me. These systems weren’t built accidentally. They’ve supported decades of growth, handled regulatory complexity and delivered stability in an industry where failure isn’t an option. There’s a reason they still exist.
But we also can’t ignore the fact that many of these systems are monolithic and deeply embedded in organizations. They’ve adapted to changing business needs over a long time, and they’ve accumulated technical debt as a result.
These systems aren’t “bad;” they just weren’t designed for a rapid pace of change. When you’re working with point-to-point integrations and tightly coupled architectures, launching a new product is complex. Testing cycles are long, the cost of change is high and responding quickly to market shifts becomes difficult.
So, what do we do? A “big bang” replacement is, quite frankly, unrealistic for most financial institutions. What I’m seeing instead is a shift in mindset. Instead of asking, “How do we replace the core?”, executives are saying, “How do we innovate around it?”
That’s a very different conversation, and a much more practical one.
What does modernization mean in practice?
Application modernization starts with understanding your application landscape — and that’s where rationalization becomes critical. Most financial institutions have accumulated hundreds, sometimes thousands, of applications. Rationalization is about understanding what you have, what you need, and what can be optimized or retired.
Historically, this was a slow, consulting-heavy exercise. Today, with GenAI-enabled tools, the process has accelerated dramatically. We’re delivering insights in a fraction of the time it used to take.
From there, we start to see architectural shifts. Microservices allow organizations to break down monolithic systems into smaller, more manageable components. Event-driven architectures enable real-time processing, which is essential for capabilities such as instant payments or fraud detection. These aren’t theoretical concepts anymore; they are already enabling some of today’s most advanced banking use cases.
Getting there, step by step
The key here is steady progress. Modernization doesn’t have to be a single, massive transformation — in fact, it shouldn’t be. The most successful organizations take an incremental approach: They modernize step by step, delivering value continuously and reducing risk along the way.
This is exactly the approach we take with our clients. Modernization isn’t something we “do” but something we build, together. The distinction matters greatly. No two organizations are the same, so we co-create solutions with our clients, using our industry-specific accelerators to help them move faster.
Business impact matters — not “tech theater”
One of the things I’m quite passionate about is avoiding so-called “tech theater.” Modernization is not about adopting the latest architecture for the sake of it, or about moving to the cloud just because everyone else is. And it’s definitely not about implementing AI without a clear use case.
It’s about business outcomes, and when I speak to financial services leaders, the conversation always comes back to three core themes:
- The first is growth — acquiring and retaining customers, and delivering experiences that differentiate. Applications play a central role here because they are the primary interface between the organization and the customer.
- The second is efficiency. Modernizing applications can reduce operational costs, streamline processes and improve overall business performance. But this often requires rethinking — not just lifting and shifting existing systems into the cloud, but fundamentally redesigning how they work.
- And the third is resilience and risk. In financial services, this is nonnegotiable. If a payment doesn’t go through, a system goes down or fraud isn’t detected in time, the impact is immediate. By using modern architectures with AI capabilities, banks and other providers of financial services can improve their resilience, strengthen compliance and manage risk more effectively.
AI, in particular, adds a powerful layer to applications. It improves customer experiences and operational efficiency, and it’s strengthening fraud detection and compliance processes.
But again, everything comes back to practicality. This isn’t about futuristic concepts or abstract innovation, but about making tangible improvements that deliver measurable value.
A pragmatic path forward
If there’s one thing I’d want financial services leaders to know, it’s this: Modernization doesn’t have to be overwhelming. You don’t need to rip out your core systems overnight or chase every new technology trend. And you certainly don’t need to take unnecessary risks.
What you do need is a clear understanding of where you are, where you want to go and how applications can get you there.
Applications are now the engine of customer experience, the connectors of ecosystems and the drivers of growth. And in an industry that’s increasingly running on cloud and AI, they are the foundation on which that industry’s future will be built.