
The payments industry is approaching a decisive inflection point.ย Inย 2026, three forces โ the massย adoptionย of ISOย 20022, the rise of alternative clearing and settlement models and the rapid expansion of AI beyondย traditional use casesย โย will convergeย and startย to reshape how payments are processed,ย managedย and monetised.ย ย
These shiftsย wonโtย just introduce newย technologies,ย they willย go further andย change the economics and operating models of banks. As a result, payments consolidation will become a strategic imperative, not a technical upgrade, for institutionsย seekingย to stay competitive in anย increasingly real-time, data-driven landscape.ย ย
The key questionย is:ย Howย do Iย achieve these strategic goals?ย Shouldย Iย leverageย partnersย or not, be itย systemย integrators orย technologyย vendors? Do I buy a new solution or build oneย in-house?ย Orย leverageย third-partyย cloudย offerings?ย ย
Toย be able toย have yourย payments, your way,ย youย need aย clearย understandingย of theย driversย mostย relevant toย yourย organisation. This startsย with theย why,ย understanding the forces shaping 2026,ย andย a clear definition ofย whatย good looks likeย for youย from a target-stateย perspective.ย
The Growthย and Limitations ofย ISO 20022ย ย
Onย November 22, a majorย milestoneย was achievedย in our industry,ย when theย so-calledย MT/MXย co-existence period ended, makingย ISO 20022ย messages the only standard on the SWIFT network.ย ย
Andย whilstย ISO 20022 has often beenย referred to as aย โsilver bulletโ for unlocking the full potential of payments data,ย in practice, its valueย remainsย broadly unrealised.ย This is partly due to unevenย interpretations and implementations across banks andย jurisdictions,ย butย more importantly due toย organisations modernising only around the edges. While ISO 20022 adoption provides richer, structured data, banks are only beginning toย leverageย it strategically for analytics, riskย managementย andย value-addedย services.ย ย
Consolidation is keyย toย delivering on the promiseย ofย ISO 20022.ย Unified infrastructures enable banks to streamline operations, reduceย costsย and build platforms capable of supporting all payment types, across all rails in real-time. Fully realised ISO 20022ย implementations create the foundation forย better decision making, smarter risk management andย aย more personalised customer experiences,ย but only if the underlying data isย high quality and consistently applied across organisations.ย ย Theย industry-wideย migrationย to ISO 20022,ย including major infrastructuresย likeย FedWire,ย stands toย help streamline consolidation by standardising data across rails.ย ย
The Rise of Alternative Clearing and Settlement Modelsย
Theย momentum forย next-generation payment methodsย seenย in 2025ย is set toย continue.ย Now also acknowledged by traditional card players likeย to Visa, alternative payment methods are rapidly gaining ground worldwide, projected to account for 58%ย of ecommerce transactions by 2028.ย Players like Wise, Visa, Mastercard;ย alongsideย initiatives such asย Theย Bank ofย Internationalย Settlementsโย (BIS)ย Nexusย Projectย are reshaping cross-border flows. Meanwhile, CBDCs, tokenised deposits, and stablecoins are poised to disruptย Real-Time Gross Settlements (RTGS)ย and international payments.ย ย
Where we were hoping thatย standardisation likeย ISO 20022ย would simplifyย our lives in the Payments industry, the proliferation ofย new approachesย raises the risk ofย fragmentation.ย In 2026, banksย must respondย toย this disruption byย consolidatingย theirย payment processing infrastructuresย and buildingย the capability to support all payments in any context.ย ย
The payments value chain should shift away from horizontal flowsย (domestic, cross-border, high-value, low-value),ย towardsย vertical, service-aligned flows spanning order management, execution, and settlement. This flexible,ย consolidatedย approach enhances service quality,ย cutsย costs, strengthens resilience, and simplifies compliance.ย Institutionsย thatย fail toย act risk being locked into outdated, fragmented modelsย unable toย keep pace withย those who haveย consolidated.ย
Consolidationย of allย incomingย Paymentย flows on oneย coherentย infrastructureย alsoย helpsย toย realise the potential ofย โsmart routingโ,ย enabling banks toย properly Qualify a Payment: What is it & What do I need to do with it?ย andย route accordingly.ย This โSmart Routingโ concept goes beyondย determiningย the payment type and selectingย the mostย appropriate wayย to efficiently clear and settle, it alsoย invokes specificย value-addedย servicesย based onย granular dynamic processing settingsย โย while gaining valuable data on who sentย the payment and who is receiving it.ย ย
AI Moves Beyond Fraud Detectionย
Much of theย fintech-AIย conversation hasย focused onย fraudย detectionย and sanction screening.ย However,ย aย recent McKinsey surveyย of 102 CFOsย highlighted thatย 44%ย wereย using generative AI forย more thanย five use cases in 2025, up from just 7% the previous year. This adoption signals a new era where AI has become a valuable tool beyond fraud detection.ย ย
AI will remain a defining trend inย payments forย 2026.ย Whileย generative AIย (genAI)ย has dominated headlinesย overย the past two years, banking is embracing it asย well:ย 65%ย of respondents plan to increaseย genAIย spending, compared with only about a quarter two years ago. Yet scalingย remainsย elusive, withย nearlyย two-thirdsย of organisations reporting they have not begun deploying AI across theirย enterprise.ย ย
Itย canโtย be emphasised enough that the effectiveness of AI depends on the quality and completeness of the data fed into it. AI solutions work best when connected to comprehensive, structured data sources such as data warehouses or data lakes, rather than point solutions.ย Standardising yourย ODSย for all payment types on ISO 20022ย definitely speedsย up time to value.ย
Practical applicationsย when developing AI solutions and using AIย include analysing scheme documentation, building rapid UIs in internal platforms,ย monitoringย fraud, reconcilingย paymentsย and optimising bank operations. The growing use of agentic AI to support both bank customers and internal operationsย in combination with robust payment orchestration capabilities,ย willย help institutions streamline complex workflows, provide faster customerย responsesย and makeย better-informedย decisions, next toย rapidlyย adding newly developed (orย procured) value added services.ย ย
Banks thatย consolidateย payment infrastructure while building robust data foundations will be able to fullyย leverageย AI, turning complex datasets into actionable insights and operational efficiencies. Fragmented systems orย inconsistentย data quality risk limiting AIโs impact.ย ย
The Strategic Imperativeย
As ISO 20022 adoption grows, new payment methodsย emerge, and AI reshapesย the landscape, theย keyย takeaway isย clear:ย banks thatย consolidateย their payment infrastructure will lead the next wave of innovation. Consolidation is no longer optionalย but aย foundation for competitiveness in a market where speed, security, and scalability are non-negotiable. The question for 2026ย isnโtย whether toย consolidate,ย but how quicklyย you can make it happenย in a manner that fits your Bank: Buy,ย Buildย or Both, but always in Control.ย Your Payments, your way.ย
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