The expectations customers bring to their bank were not formed inside a bank branch. They were shaped on a hotel booking platform that confirmed a reservation in four taps, in a car rental app that remembered payment details, and on an e-commerce checkout that required a single click. Brian DuVal, President of North America at Temenos, has named this structural mismatch the "expectation gap" — and for the institutions that fail to close it, the consequences are increasingly difficult to dismiss as theoretical.
The challenge is not simply cosmetic. When a customer navigates a cumbersome loan application, waits days for a transfer to clear, or is forced to repeat identity verification they completed six months earlier, they are not comparing the experience to what banking used to be. They are comparing it to what every other service already is. That is a fundamentally different competitive pressure from the one banks faced a decade ago, and it demands a fundamentally different strategic response.
The Infrastructure Deficit Behind the Experience Problem
DuVal's framing places data, real-time infrastructure, and human judgment at the center of any credible solution. These three pillars are not independently new ideas — banks have been investing in each of them in various forms for years — but the argument that all three must work in concert is an important one. Real-time infrastructure without quality data produces fast answers that are wrong or irrelevant. Rich data without real-time delivery arrives too late to change the customer's experience at the moment it matters. And neither technology nor data can substitute for the kind of contextual human judgment that determines whether a flagged transaction is fraud or a customer's legitimate behavior during a life event.
The architectural reality underneath most established banks remains a critical obstacle. Legacy core systems, many of them built decades before smartphones existed, were designed for batch processing and overnight settlement cycles. Grafting real-time capabilities onto these foundations is expensive, technically complex, and organizationally disruptive. Yet the alternative — allowing the gap between customer expectation and institutional delivery to widen further — carries its own cost, measured in attrition, reduced product adoption, and declining wallet share ceded to digital-first competitors.
What Digital Natives Have Already Demonstrated
The clearest evidence for why the expectation gap matters comes from studying where customers go when their primary bank fails them on experience. Revolut, Wise, and a cohort of well-capitalized neobanks have built their entire value propositions around eliminating exactly the friction points that DuVal identifies. Their onboarding flows, real-time balance updates, instant cross-border payments, and transparent fee structures were not accidents of product design. They were deliberate responses to the same expectation gap that incumbents are now rushing to address. The fact that those challengers built on modern infrastructure from day one, without the burden of legacy systems, was their most durable competitive advantage — not their branding or their pricing.
Traditional banks possess countervailing strengths that challengers cannot easily replicate: regulatory depth, trusted brands accumulated over generations, broad product suites, and in many cases substantial balance sheets. The question is whether those strengths can be preserved while the customer-facing experience is rebuilt around the standards consumers now take for granted. DuVal's answer, through the Temenos lens, is that the path runs through modernized core infrastructure supported by high-quality data pipelines and empowered by — not replaced by — human expertise at critical decision points.
Human Judgment as a Strategic Asset
The inclusion of human judgment in this framework deserves particular attention. At a moment when artificial intelligence and automation dominate the technology conversation in banking, DuVal's insistence on human judgment as a pillar alongside data and infrastructure reflects an important corrective. Automated systems excel at pattern recognition at scale. They struggle with ambiguity, with novel circumstances, and with the kind of empathetic interpretation that determines whether a customer who has just missed a payment needs a collections call or a compassionate conversation about restructuring options. Banks that automate without preserving meaningful human judgment at critical junctures risk delivering experiences that are fast but cold — technically efficient and experientially alienating.
The expectation gap, then, is not purely a technology problem. It is a systems design problem, encompassing technology, data governance, and human capital strategy simultaneously. Banks that treat it as primarily an IT upgrade cycle — something to be solved by deploying a new front-end layer over unchanged back-end processes — are likely to find that the gap persists even after the investment is made. The customer does not care which layer of the stack failed them. They experience only the outcome.
What This Means for the Industry
The expectations gap identified by DuVal at Temenos represents one of the most consequential strategic challenges facing retail and commercial banking today. Customers are not asking banks to become Amazon or Airbnb. They are asking banks to meet a baseline of speed, simplicity, and contextual responsiveness that every other digital service has already normalized. Closing that gap requires banks to invest simultaneously in real-time infrastructure, coherent data strategies, and the organizational structures that allow skilled people to exercise meaningful judgment at the moments that matter most. Institutions that treat this as a phased, incremental challenge risk ceding ground to competitors — both fintech challengers and big-tech adjacents — who have already decided the gap is an opportunity. The urgency is not hypothetical. It is visible in every customer interaction that falls short of the standard they learned somewhere else.
Written by the editorial team — independent journalism powered by Codego Press.