Technology Capabilities
Technology CapabilitiesThis code produces the following output that can be imported into the candidate trackin...
Discover how financial services integrations are transforming from standalone offerings...
VelocityAI combines advanced AI technologies with human expertise, helping businesses r...
SANTA CLARA, Calif.–January 10, 2025– GlobalLogic Inc., a Hitachi Group Com...
GlobalLogic provides unique experience and expertise at the intersection of data, design, and engineering.
Get in touch
Today’s financial institutions are being pushed to move faster, scale smarter, and operate with greater resilience. In our previous two posts, we explored the first two forces driving that shift: Code and Change. Code represents the intelligent foundation: cloud-native platforms, AI-driven workflows, and automation as core engineering principles. Capital is the dynamic flow of value: embedded finance, tokenized assets, and new business models built to thrive in distributed ecosystems.
But to scale either one, institutions must embrace the third—and perhaps most critical—force in our 3Cs shaping the future of Financial Services: Change.
Change is no longer an outcome of transformation. It’s a designed capability.
The firms that are truly advancing—those realizing the full value of their AI investments or reinventing how they monetize products—are not just building smarter platforms. They’re engineering for adaptability from the ground up.
In today’s environment, agility isn’t a feature. It’s a foundational trait. Regulatory velocity, shifting customer expectations, and emerging technologies are compressing decision windows and raising the cost of delay. The ability to adapt in real time—securely, intelligently, and at scale—will define tomorrow’s financial leaders.
That’s why the future won’t be built on transformation projects alone. It will be shaped by institutions that treat Change not as a phase, but as a platform capability that is engineered to respond, evolve, and accelerate without disruption.
Change isn’t something financial institutions react to; it’s the environment they operate in. Regulatory demands, technological breakthroughs, and rising customer expectations are converging, forcing firms to move from episodic transformation to continuous adaptability.
Regulatory shifts are leading the charge. Consumer Duty in the UK, FedNow in the US, and global frameworks like Basel III and ESG are turning compliance into a real-time discipline. It goes far beyond annual audits to continuous oversight by default.
Technology is compounding the pace. GenAI, real-time payments, and tokenized assets are redefining how financial services are built and delivered. Most legacy systems weren’t designed for this velocity.
And customers now expect more than speed; they demand relevance, trust, and
personalization at every touchpoint. To keep up, leaders must think differently. Agility isn’t a process improvement. It’s a platform requirement.
Agility doesn’t happen at the edge; it’s built into the core. For financial firms, that means engineering adaptability across three fronts: how they govern risk and compliance, how they build and scale resilient systems, and how their teams operate day-to-day. Here’s what that looks like in action:
Compliance is no longer a function at the finish line. It’s becoming a built-in capability—one that evolves alongside regulation and integrates directly into digital operations.
Picture a lending platform that adapts instantly to new fair lending guidelines by updating model policies via code. Or a transaction engine that flags potential fraud or ESG breaches in real time, based on continuously updated regulatory thresholds.
With modular architectures and policy-as-code in place, financial institutions can move from reactive compliance to systems that are proactive and provable by design.
Modern resilience means more than uptime. It’s the ability to absorb shocks, protect trust, and adapt infrastructure without disruption.
This might look like a customer service platform with embedded model validation tools that ensure every AI-generated response meets audit standards. Or a risk analytics engine that automatically triggers review workflows when outlier data is detected in portfolio monitoring.
With integrated observability and real-time testing frameworks, resilience becomes a continuous state, not an emergency response.
Technology can scale only as fast as the teams behind it. That’s why truly adaptive organizations are rethinking how they structure teams, deliver products, and govern innovation.
Think of product squads aligned around customer journeys, supported by shared APIs, design systems, and data platforms. Or risk and compliance experts embedded in development teams to co-author change, rather than enforce it after the fact. Think of product squads aligned around customer journeys, supported by shared APIs, design systems, and data platforms. Or risk and compliance experts embedded in development teams to co-author change, rather than enforce it after the fact.
These models flatten silos, accelerate delivery, and embed transformation into everyday operations—including intelligent, embedded change management that equips teams with the tips, tools, and behaviors needed to drive adoption and achieve business impact.
This is what it means to engineer for change; not just to respond, but to anticipate and accelerate through it. And while the principles are clear, the real value is in how they’re applied. Here’s what that looked like for one financial services organization that treated adaptability not as a constraint, but as a competitive edge.
A leading UK retail bank faced a complex challenge: implement Strong Customer Authentication (SCA) across its digital payments ecosystem under a tight regulatory deadline. But instead of treating it as a compliance exercise, the bank used the opportunity to engineer for adaptability.
With GlobalLogic’s support, the bank deployed an AIOps monitoring solution that unified siloed data into a single operational view. Real-time dashboards gave product owners and support teams visibility across payments infrastructure, enabling faster issue resolution, live testing in lower environments, and proactive risk management.
The result wasn’t just regulatory readiness. It was a shift from reactive operations to a platform designed for continuous compliance, resilience, and faster delivery, turning a mandate into a long-term strategic advantage.
The ability to adapt can no longer depend on manual processes or siloed fixes. It must be built into the architecture. This is where Code, Capital, and Change converge: Code powers AI decisioning, real-time infrastructure, and scalable intelligence. Capital flows through tokenized assets, embedded finance, and platform-driven ecosystems. Change is operationalized by centering user needs and goals—embedding continuous feedback loops, intuitive workflows, and adoption-enabling tools directly into the development process.
To support this convergence, adaptive architecture must be:
This is how leading institutions are engineering for what’s next. Not by preparing for the next disruption, but by building platforms that thrive on it.
The next era of financial services leadership won’t be defined by who moves first, but by who’s built to keep moving.
The financial firms that will define the next decade are designing and engineering smarter. They’re shifting from episodic transformation to continuous reinvention, powered by platforms designed to evolve.
Change is no longer a phase to get through. It’s the core capability that makes innovation sustainable. As Code and Capital reshape the infrastructure and flow of financial services, Change is what ensures it all holds—securely, intelligently, and at scale.
We’re watching leading firms turn this principle into practice. If you’re exploring what it means to design for change, we’re here to share what we’re learning.
> Learn more about the 3Cs of Financial Services
> Or get in touch and let’s discuss what’s next for you.