By Mick Fennell, Business Line Director – Payments, Temenos
Historically, money movement has been framed as the financial plumbing powering the industry. But as expectations shift, regulatory scrutiny increases and firms drive innovation at rapid pace, it is increasingly becoming the next frontier for strategic competition. The institutions that are equipped with the intelligent foundation and tools to move value securely, and at scale, will set the pace for everyone else.
If we look at the dynamics happening in the market, it becomes clearer as to what is driving fierce competition in the industry. Those businesses involved in money movement are now contending with complex and evolving regulation. Expectations among consumers are changing, while transaction volumes span domestic, cross-border, consumer, and corporate flows – adding to the complexity of managing money movement efficiently.
Traditional operating models are also under strain, contending with new rails, new asset forms, and new service models that existing systems struggle to absorb at the necessary pace. Against that backdrop, industrialising the core foundations of money movement is a necessary and decisive strategic move.
Integration is the hidden tax on progress for established players
For established money movement businesses, the central challenge is rarely capability in isolation. It is complexity at scale. Many of these organisations have evolved through expansion, acquisition, market entry, and successive waves of regulatory response. The result is often a patchwork of platforms spanning accounts, payments, risk, reconciliation, liquidity, and reporting; each important, each embedded, and each carrying its own logic, dependencies, and constraints.
The real issue is not simply that there are many systems. It is that every change increasingly reverberates through an interconnected estate that was never designed for perpetual reinvention. As new regulations emerge, new products are launched, and new reporting demands take shape, integration becomes the hidden tax on progress. Engineering effort is absorbed by preservation rather than transformation. Timelines compress, risk accumulates, and the ability to translate market opportunity into differentiated service starts to erode.
In that environment, even sensible change can become disproportionately hard. A single enhancement in one domain can trigger redesign across several others. What should be innovation becomes orchestration overhead. The established player’s question, then, is not whether to modernise, but how to create a core that can evolve continuously without forcing the organisation to rebuild its operating fabric every time the market moves.
Speed alone is not a strategy for new entrants
For a startup, the challenge is almost the mirror image. There is no legacy estate to unwind, but there is also no margin for architectural naivety. The attraction of a blank sheet of paper is speed: the ability to design around today’s opportunity rather than yesterday’s constraints. Yet speed alone is not a strategy in money movement. A new entrant still needs to launch on top of compliant, resilient, and operationally credible foundations. It must support the commodity capabilities the market assumes as standard while preserving the flexibility to innovate as volumes rise, products expand, and regulatory scrutiny intensifies.
The most successful startups understand that the goal is not simply to get to market first. It is to arrive with a platform that can still accelerate once the business begins to scale.
A redefined model for money movement
Across both models, the essence of money movement still rests on four foundational domains: accounts, payments, risk, and treasury. But to describe them as foundational should not imply that they are fixed. They are being redefined in real time.
Accounts are shifting from static records to programmable structures that enable richer control, real-time visibility, virtualisation, and multi-currency flexibility.
Payments are moving beyond traditional rails into a world of real-time domestic processing, real-time cross-border capabilities, digital wallets, and increasingly diverse payout scenarios. What was once a linear flow is becoming a dynamic network.
Risk and treasury are evolving just as quickly. Risk functions are being pushed closer to the moment of decision, where fraud controls, sanctions screening, conduct oversight, and operational resilience must act with far greater speed and context.
Treasury, meanwhile, is being reshaped by always-on settlement, more dynamic liquidity demands, tokenised assets and currencies, and the need to optimise funding and exposure in an environment that no longer pauses at the end of the day.
Layered across all of this is a broader shift in demand: consumers expect immediacy and simplicity, while corporates require transparency, control, rich reporting, and seamless integration into their own processes.
Where standardisation builds strength and differentiation creates value
This is why industrialisation matters. In the strongest organisations, industrialisation is not about standardising the business into sameness. It is about building on a platform that can absorb complexity without becoming defined by it. It means creating reusable, governed, and adaptable capabilities that remove the need to solve the same problem repeatedly through bespoke integration and manual intervention. In effect, it turns the operating model itself into an asset.
The organisations pulling ahead are those that understand where standardisation creates strength and where differentiation creates value. Regulatory controls, routing patterns, exception handling, reconciliation structures, and reporting frameworks should be engineered as configurable, repeatable services. Customer propositions, service models, corridor strategies, funding choices, and experience design should remain the frontier of competitive distinction. That separation is increasingly what allows firms to move faster without surrendering control.
Building a platform that can learn and adapt at scale
Artificial intelligence now gives this model a new level of force. Used well, it can interpret signals across accounts, payments, risk, and treasury with greater context, detect emerging patterns earlier, sharpen decisioning, accelerate exception resolution, and reduce the friction of change. It can help organisations move from reactive operations to more anticipatory and adaptive models of execution. In a market where latency, accuracy, and responsiveness increasingly shape commercial outcomes, that is a material shift.
But intelligence on its own is not the answer. Money movement remains a highly regulated, trust-intensive domain in which judgment, policy, and operational design still matter deeply. The real breakthrough comes when AI is paired with optimised human-derived configurations: the rules, thresholds, product constructs, policies, and control frameworks shaped by expert understanding. That combination creates something far more powerful than automation alone. It creates a platform that can learn, adapt, and scale while remaining aligned to commercial intent and regulatory discipline.
For incumbents, that means breaking the cycle in which legacy complexity consumes the energy required for innovation. For startups, it means resisting the false economy of speed without structural depth. In both cases, the real prize is the same: a money movement platform capable of supporting compliance, scale, resilience, and service innovation as the market continues to accelerate.
Driving competitive advantage in money movement
We’re now in the era of real-time everything. Cross-border models are maturing, and tokenised assets are showing increasing promise and digital wallets are gaining traction. Businesses are looking for diversified and tailored payout scenarios, and firms have to respond to changing consumer and corporate expectations quickly to meet demand.
The winners will not simply be the firms with the broadest reach or the newest technology stack. In reality, those that understand the intricacies of money movement models that have built in intelligence on integrated platforms will succeed.
Artificial intelligence is difficult to adopt successfully on fragmented estates. It will be those that combine the latest advances in artificial intelligence with optimised human-derived configurations that will see an adaptive platform, with industrial-strength, turning operational excellence into market differentiation.
