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Just 46% of financial services firms convene cross-functional teams at the start of their innovation journey. That was among the findings of new research conducted by FT Longitude on behalf of GlobalLogic. The study reveals that while they should be building bridges, most Financial Services institutions are still operating in silos. But as Jitender Malhotra of NatWest Group explains, breaking through silos is both possible and essential for transforming compliance into a catalyst for innovation.

Moving from friction to flow

Malhotra, VP of Data Analytics, is leading NatWest’s responsible AI initiative. He acknowledges that the traditional model of isolated teams—that is, “one technology team, one risk team, one security team”—creates points of friction that slow innovation. At NatWest, they’re working to change that through multi-skilled teams with diverse representation. That way, he says, “you get all these perspectives … as you’re building the product.”

This approach directly addresses what GlobalLogic’s research identifies as a critical gap. With less than half of firms—and just one-third of banks—forming truly cross-functional teams from the outset, most institutions are hampering their transformation efforts before they even begin.

NatWest’s solution involves bringing together senior stakeholders from technology, security, risk, and AI ethics into what Malhotra calls “transformation programs”—unified efforts in which different skills and personas collaborate from day one.

Compliance as catalyst, not constraint

While some may view AI governance as a barrier to speed, Malhotra sees it as opportunity. His perspective aligns with another key research finding: that companies implementing mature AI governance frameworks report an average annual ROI of 340%.

“These regulations that are coming up, they actually help us to make sure that whatever we build, in terms of AI, is sustainable over a long period of time,” Malhotra explains. So while some firms race to market, those with robust governance frameworks will be the ones that build enduring solutions.

As Malhotra explains, NatWest embraces what it calls intelligent risk taking (IRT)—an approach that acknowledges that no decision is 100% risk-free. Rather than being paralyzed by doubts, they document pros and cons, make informed choices, and then move forward with clarity about potential tradeoffs.

Build consensus (without sacrificing speed)

Historically, technology has operated at the intersection of product (which clamors for speed) and compliance (which demands assurance). How can multi-skilled teams make effective decisions amid this classic tension?

Malhotra describes a structured but agile approach: “We float out the agenda that these are some of the decisions we’re looking to achieve. And then we talk about the pros and cons of each option … and make sure that it kind of builds consensus all around on every key decision that we take.”

His insight mirrors what GlobalLogic’s study reveals about high performers: Leaders do more than bring teams together. They also create operational models that enable rapid decision-making across functions. At NatWest, data and analytics serves as the “hub” in the organization’s hub-and-spoke model, facilitating conversations among business teams, security, supply chain, and finance.

A critical shift in mindset

Perhaps most importantly, Malhotra is candid about the goal of “future-proofing” any transformation: “Whatever work that we do in terms of ‘future-proofing’ ourselves, I’m pretty sure that 99% of us would actually end up being on the wrong side of it. We will get it wrong, but that’s something that you should… learn to accept.”

Given rapid changes across regulations, technologies, and customer expectations, the ability to adapt matters more than the ability to predict. As he explains, success comes from “constantly challenging yourself, constantly thinking about what could go wrong.”

Three strategies for scaling responsible innovation

For anyone leading responsible innovation, Malhotra offers these practical strategies:

1. Start with the problem, not the structure. Rather than forcing innovation through existing organizational silos, design teams around the challenges you’re tackling. Create multi-skilled teams that own outcomes (not just activities).

2. Build governance into the foundation. Embed risk, security, and ethics considerations from the experimentation phase through production, creating what Malhotra calls “appropriate mechanisms” at every stage.

3. Embrace intelligent failure. Finally, create frameworks for smart risk-taking that document decisions, anticipate challenges, and learn from setbacks. As Malhotra notes, the name of the game is continuous refinement and improvement.

Ready to transform silos into synergies?

The ability to deploy teams effectively and responsibly distinguishes Financial Services leaders from laggards. Consider a free discovery workshop to explore how GlobalLogic can help. It could be a critical first step toward building the multi-skilled teams and governance frameworks you need to transform responsible AI from compliance requirement to competitive advantage.