Financial services outlook: 2026 banking predictions from VeriPark leaders
VeriPark insights to guide your journey through 2026 and beyond
AI in banking is moving fast: the question is no longer “Can we pilot it?” but “Can we run without it?” Heading into 2026, analyst outlooks point to the same shift: AI moving from experimentation into the bank’s operating model, with growing focus on AI agents, governance, and measurable productivity.
Meanwhile, customer engagement expectations are rising. Banks are being pushed toward real-time, intent-driven, trust-led experiences, while regulators reinforce the need for transparency, explainability, resilience, and strong controls as AI embeds into core workflows.
The predictions that follow highlight where AI, data unification, and execution speed will matter most in 2026 and why leaders will be those who turn AI into real automation and real business outcomes.
Banks are entering a cycle where the math no longer works without AI.
Ozkan Erener
CEO, VeriPark
Costs are rising, fraud is more sophisticated, compliance is heavier, customer expectations are sharper, and talent pools are thinner. What once felt optional is now becoming the operating system of a viable financial institution.
In 2026, AI will step in where human capacity has reached its natural limits. Banks will depend on it to manage the thousands of small decisions they make every hour: decisions that determine trust, profitability, risk, and loyalty. It won’t replace people; it will protect people from the impossible.
What changes next year is not the technology, but the mindset. Executives will stop asking, “Can we use AI here?” and start asking, “How are we still doing this without AI?” The shift will be quiet but decisive: AI moves from experimentation to expectation.
And the institutions that lead will be the ones that use AI to extend their humanity, not reduce it. They will use AI to listen better, respond faster, and act with more clarity; not to automate their way out of responsibility, but to create the space for better judgment, better relationships, and better outcomes.
For a company like VeriPark, the opportunity is simple:
We help banks bring purpose to their AI ambitions.
Not AI everywhere but AI where it truly matters.
In the conversations that shape trust.
In the journeys that shape loyalty.
And in the decisions that shape financial wellbeing.
2026 will be the year banks rediscover something fundamental: AI is not here to make banking less human. It’s here so banks can keep the human touch, while handling far more customers and complexity than before.
2026 will be about turning every product into a living, learning system.
Gokhan Cakiroglu
Chief Technology and AI Officer, VeriPark
2026 will be the year banks shift from merely using AI to building on AI. We’re moving into an era where every banking workflow —from onboarding to servicing, selling, credit, compliance and product design— will be powered by agentic systems that think, act and improve alongside human teams. To thrive, financial institutions will need to embrace the Frontier Firm model: companies where AI agents, copilots and human ambition operate as one integrated system.
At VeriPark, we see a future where banks no longer code journeys manually, but assemble them using agent frameworks, no-code AI builders and domain-trained copilots. Requirements will be generated by AI, software will be developed through agentic toolchains, quality assurance will be automated end-to-end, and product innovation will be driven by continuous data-to-insight-to-action loops. Frontier products like agentic GPCs, conversational VeriChannel, autonomous digital selling and AI-powered credit intelligence will redefine digital banking architecture across our global markets.
The next phase of transformation won’t be about adding more features. It will be about turning every product into a living, learning system. Banks that embrace this shift will scale faster, operate more intelligently and unlock levels of productivity and innovation that simply weren’t possible before.
2026 marks the beginning of AI-native banking, and our role is to help our customers move from experimenting with AI to truly building their future on top of it.
ROI is the language that matters.
Funda Yesim Cinar
Regional Sales, Senior Director
GenAI will be judged only on P&L impact.
By 2026, GenAI won’t be evaluated by how impressive it looks in a demo. If a GenAI use case doesn’t increase conversion, reduce credit loss, or shorten time-to-yes, it will be killed within one budget cycle. The era of “interesting experiments” will fade quickly. ROI will become the only language that matters.
2. Sales beats operations. Always.
Banks will fund GenAI first where it helps sell: helping relationship managers prepare faster, shaping proposals and pricing justifications, predicting churn earlier, and making next steps clearer. Back-office will still matter, but sales enablement will get priority because that’s where results show up fastest and most visibly.
3. Credit committees will get smaller.
GenAI won’t “decide” credit, but it will pre-decide 80% of cases. Smaller committees will focus less on routine approvals and more on exceptions, edge cases, and large exposures, with the “standard” decisions increasingly handled through structured, AI-assisted pre-assessment.
4. Call centers will quietly shrink.
Even in call centers, the change won’t look like a sudden chatbot takeover. It will look quieter: fewer repeat calls, fewer avoidable contacts, and fewer escalations. Because the underlying causes are identified and fixed sooner, not because customers are pushed to self-service.
GenAI won’t win because it’s intelligent — it will win because banking economics are unforgiving. Anything that doesn’t move revenue, reduce risk, or accelerate decisions will be defunded fast. Banks that treat GenAI as an experiment will stay busy. Banks that weaponize it against sales friction, credit drag, and operational leakage will pull ahead quietly and permanently in ways that are hard for competitors to catch up to.
In 2026, CX will be reshaped by new technology and real business demands.
Michel Diab
Chief Strategy and Marketing Officer, VeriPark
In 2026, the financial services industry will be shaped by the convergence of two forces: technology shifts transforming what is possible in CX, and industry scenarios redefining what banks must urgently deliver.
On the technology side, CX will move firmly into the era of real-time intelligence. Banks will go beyond segmentation toward intent-driven, contextual interactions enabled by unified data and real-time decisioning. AI-First engagement will become the baseline expectation: embedded AI agents, RM copilots, proactive nudges, conversational servicing, and agentic workflows woven into every customer and employee journey. At the same time, the demand for speed and configurability will intensify. Banks will expect no-code tools, accelerators, and reusable journeys that enable rapid redesign without long transformation cycles —a requirement driven equally by competition and regulatory urgency. And none of this will materialize without overcoming the biggest structural barrier: fragmented data. The pressure to unify core, channel, CRM, lending, card, and alternative datasets into a single experience layer will become non-negotiable for any institution pursuing true personalization.
Alongside these technology shifts, business-led CX scenarios will reshape priorities. Digital onboarding and eKYC will evolve into fully frictionless, agent-assisted, passkey-enabled entry points: the moment where trust and conversion are won or lost. SME and Corporate banking will emerge as the new CX battleground, with banks racing to deliver digital lending, trade finance, intelligent RM assistants, and even embedded finance tools like e-CFO agents that turn cash-flow data into proactive business advice. Wealth and affluent segments will demand hybrid advisory models powered by AI-driven portfolio insights, event-triggered engagement, and household-level financial planning. And contact centers will transform into intelligent service hubs where AI agents resolve routine tasks, copilots guide advisors in real time, and conversations become smarter, faster, and more compliant.
For marketing and strategy leaders, 2026 will be the year where technology narrative and scenario narrative converge. Banks will no longer buy platforms. Instead, they will buy outcomes: faster onboarding, SME growth, better advisor performance, higher first-call resolution, and truly personalized wealth engagement. Successful technology providers will be those who can articulate not just what AI can do, but where it moves the needle in concrete banking moments of truth.
The institutions that win will be those that combine real-time insight, AI-first engagement, unified data, and scenario-driven transformation into one coherent CX strategy, and deliver it with the speed, precision, and intelligence that customers now expect as standard.
Revenue growth will come from orchestrating smarter ecosystems.
Barry Frame
Chief Revenue Officer, VeriPark
By 2026, revenue growth in banking won’t come from launching more products, but from orchestrating smarter ecosystems. We’re already seeing global institutions rethink their P&L around three engines: intelligent sales, embedded banking partnerships and new, data-driven fee models. The banks that win will use AI not just to ‘personalize offers’ but to continuously sense intent, identify moments of value and trigger the right action across channels, partners and regions.
As invisible payments, instant cross-border experiences and AI-driven relationship management become the norm, global players will need platforms that can roll out innovation once and monetize it everywhere from Europe to the GCC to Africa and Asia. Commercial teams will stop selling point solutions and start selling measurable outcomes: uplift in activation, portfolio profitability and lifetime value.
The institutions that move fastest will turn AI into a global growth engine, not a cost line in the IT budget.
Convenience helped digital-first banks attract customers. Care will determine whether they keep them.
Seray Goklu
Head of Consulting, VeriPark
Over the past years, digital-first banks have raised the bar on speed, simplicity, and frictionless journeys. That advantage is now fading. In 2026, convenience will no longer differentiate anyone, it will simply be the minimum customers expect.
This creates a hard truth for digital banks: great UX alone does not build trust, loyalty, or long-term value. Customers don’t just want faster transactions. They want help making better financial decisions. They want banks to step in earlier, guide them at the right moment, and reduce financial stress before it turns into a problem. This is the shift from convenience to care and it is where market share will truly be decided in 2026. The banks that succeed will be those that make customers feel supported, not just served.
Digital-first banks face a unique challenge here. Their growth models are built on scale and automation, not human intervention. That means care cannot be delivered manually or selectively. It must be embedded into the system itself. This is where AI becomes critical; not as a feature, but as an enabler of care at scale.
Yet many digital-first banks are still treating AI as an add-on: a copilot, a chatbot, a smarter notification. Without clear outcomes, strong data foundations and advanced analytics, AI doesn’t close the care gap. To move from convenience to care, digital-first banks must change the question they ask. Not “How do we add AI?” but “How do we improve financial outcomes for customers consistently and early?” Right product offer. Better spending habits. Smarter saving. Earlier support before stress appears. When those outcomes are clear, AI can finally do its job: connect signals across journeys, turn early insight into timely action, and support better decisions quietly in the background.
In 2026, the winners will not be the digital-first banks that move fastest, but the ones that feel most supportive. Customers won’t remember the technology. They’ll remember whether their bank helped them at the moments that mattered and AI will be what makes that care possible.
Every role in the bank will be paired with an AI teammate.
Armagan Gurkan
VP, Sales, VeriPark
By 2026, financial institutions will see one of the most profound shifts in the history of banking technology: The early bot era is over. What’s emerging now is a generation of specialized, task-aware digital colleagues that support frontline staff, operations teams, credit officers and advisors in real time. These agents won’t simply automate tasks; they will catch what humans miss, scale service capacity, propose new opportunities and even draft communications on behalf of employees. What feels experimental today will become routine next year.
A second major change will be the rise of real-time personalization and event-driven CX. Banks have talked about event-based engagement for years, but AI is the force that will finally make it operational. Instead of reacting after the fact, AI agents will read signals as they happen (a failed transaction, a liquidity issue, a sudden change in spending) and trigger the right action instantly. Recommendations, servicing flows and customer responses will shift from static journeys to living, moment-by-moment interactions.
Inside the bank, we will see an equally dramatic transformation. Engineering, QA and DevOps teams will rely heavily on AI for code generation, testing, UI validation and release automation. This will make banking software more mature, more reliable and significantly faster to deliver, improving both product quality and customer outcomes. These aren’t distant scenarios. The underlying capabilities are already being developed.
Another 2026 breakthrough will come from embedded finance and the evolution beyond API-first banking. API ecosystems have connected banks and fintechs, but the next stage is the rise of MCP-first architectures —Model Context Protocols— enabling AI systems to access and consume banking services through shared, intelligent interfaces. Think of MCP as “the API layer for AI agents.” When this becomes mainstream, financial services will be accessible from virtually any interface or platform, accelerating embedded finance adoption across industries.
Finally, as banks deploy more AI agents, they will need new monitoring and orchestration layers. Multiple agents will collaborate, trigger each other’s tasks, escalate issues and generate insights collectively. Ensuring that these agents behave safely, consistently and transparently will require advanced oversight frameworks, which is a new discipline that will sit alongside traditional monitoring.
In 2026, AI will not be a feature of banking. It will be the environment banking operates in: a network of intelligent teammates, real-time interactions, embedded services and orchestrated agents working together to deliver smarter, faster financial experiences.
In 2026, AI becomes the operating model of banking.
Caglar Kepir
EMEA Partner Sales Manager, VeriPark
By 2026, financial services is set for a major AI adoption surge, not just from banks’ desire to innovate, but because external pressures are aligning. Cloud platforms, regulation, rising customer expectations, and ongoing cost pressure are making AI a core requirement and the default base for digital transformation.
This practical AI shift will reshape banking priorities —from digital and SME banking to customer experience and agentic, machine-driven payments— marking a structural reset, not incremental change.
Digital banking will be one of the earliest areas where this change becomes unavoidable. By 2026, digital channels will move beyond being simple front ends and become AI-orchestrated environments. Industry advisors, cloud hyperscalers, and global system integrators are already lining up AI-first modernization programs, supported by new investment pools, co-sell models, and incentives directly tied to cloud consumption and Copilot adoption.
Banks will rapidly embed AI into mobile and internet banking, add conversational copilots for servicing and onboarding, and deploy autonomous workflows for disputes, authentication, and payments. Next-best-action will shift from static rules to self-evolving omnichannel systems, with VeriChannel-style platforms using AI agents to interpret intent, resolve issues, and execute tasks across systems without human handoffs, splitting vendors into those delivering measurable outcomes and those struggling to keep pace.
Retail banking will feel AI’s impact fastest. By 2026, AI copilots will be standard across customer service, financial guidance, and fraud support, while hyper-personalization becomes table stakes with real-time offers, pricing, and credit guidance. Mortgage and loan journeys will be partially automated via agentic AI, dramatically cutting cycle times, and predictive servicing will finally go mainstream.
AI will not replace frontline staff, but it will be embedded into every interaction, from call centers to branches. Advisors will be faster, more accurate, and more consistently compliant, supported by intelligence that works quietly in the background.
In corporate banking, the focus will shift from insight to action, as trade finance, treasury, liquidity forecasting, and compliance become prime targets for AI-assisted automation. AI agents will triage credit packages, gather data, and pre-fill compliance checks, while predictive treasury tools anticipate liquidity needs and deal-support copilots deliver real-time insights, pricing, and portfolio health. The differentiator will be banks that move beyond dashboards to orchestrating decisions and actions through intelligent agents.
SME banking will be transformed by real-time guidance and invisible back-office support, meeting demands for faster onboarding, simpler lending, and practical tools embedded in digital banking. AI will enable instant onboarding via document reasoning agents, automated financial health checks, and cashflow predictions, while lending is triggered by real-time business signals. AI advisory for payroll, invoicing, and tax prep —and industry-specific copilots for hospitality, retail, logistics, and services— will give SMEs a back office they never had.
Customer experience itself will be redefined. By late 2026, customer experience will be redefined as banks face pressure to prove ROI through live journeys, not pilots. AI-driven servicing will resolve most cases end-to-end, engagement engines will adapt tone and offers, and sentiment-aware agents will improve retention and reduce complaints. “Invisible service” will grow fixing issues before customers reach out and making customer experience autonomous, not reactive.
At the same time, generative AI will shift from prompt-based copilots to fully agentic systems that understand context and take multi-step actions across systems. In banking, agent-to-agent workflows (e.g., experimental payment negotiation models like x402) will point to machine-speed transaction initiation and clearing, while swarms of agents handle regulatory checks, fraud reviews, and reconciliation. Product engines will become dynamic, updating loan terms, fees, and treasury strategies in real time from machine-interpreted market signals.
All of this will be accelerated by structural market pressures that make AI adoption unavoidable. Regulators will clarify AI governance and explainability, cloud providers will bundle AI with modernization incentives, boards will demand efficiency and OPEX reduction, and customers will expect conversational, personalized, instant experiences. Banks will adopt AI because every structural signal says they must.
2026 is the breakout year when AI shifts from a talked-about capability to the operating model of banking itself. Banks that succeed will turn AI into real automation, consumption, and outcomes while others spend the next cycle trying to catch up.
SMEs offer more headroom for growth.
Cenk Kiral
VP of Sales Excellence, VeriPark
Apart from the very obvious area of AI, where almost all banks have started doing some initiatives, I expect a continuation of growth in SME segment.
Compared with retail and large corporate banking, SME is generally seen as a higher‑growth but also higher‑risk segment, so banks that can price and manage the risk are positioning it as a key growth area for 2026.
For 2026 planning, many banks treat SME as an “above‑average growth, above‑average risk” segment, targeting it for revenue expansion while tightening risk selection and using better data and collateral structures. Relative to retail, SME offers more headroom for growth but requires stronger credit analytics and sector expertise, and relative to large corporate, it is often a more resilient engine of incremental volume if banks can standardize products and manage cost‑to‑serve through digital channels.
So, as such, I expect to see some bolder initiatives from banks for the SME segment through the digital channels. Some leader banks already started going beyond the standard banking services and offer some digital services to their SME customers in exchange of keeping their banking services with them, but this trend will be gradually evolving to subscription-based services as these initiatives become wider.
2026 marks the shift toward plug-and-play banking platforms and rapid execution.
Milind Kukday
Chief Delivery & Product Officer, VeriPark
One of the clearest shifts underway is the evolution of the physical branch. Rather than disappearing, branches are becoming deeply connected extensions of digital banking. Customers increasingly expect seamless handovers between branch, contact center, and digital channels, without repetition or friction.
This is driving renewed focus on branch automation and operational efficiency. Over the next two years, banks will invest heavily in transforming branch operations into digitally enabled, data-driven environments that feel consistent with mobile and online experiences, rather than separate touchpoints.
Another major trend gaining momentum is the rise of new-generation, headless core banking engines. These platforms remove traditional UI dependencies and expose capabilities purely through APIs.
This shift is redefining how front-end applications are built. Instead of being constrained by core banking screens, banks will dynamically generate user interfaces on demand, enabling faster innovation and greater flexibility across channels. The ability to connect seamlessly to multiple core banking systems will become a key differentiator for banking platforms in 2026.
In CRM and customer interaction channels, efficiency is the dominant theme. Banks are increasingly exploring agentic and AI-driven models, particularly in contact centers and customer-facing workflows.
Traditional workflow design and configuration cycles are too slow for today’s expectations. In 2026, we will see a strong push toward using GenAI and intelligent automation to drastically reduce the time required to design, configure, and adapt customer processes, empowering both banks and their teams to respond faster to business change.
Across mobile and internet banking, customer expectations are clear: lighter, faster, and more intuitive applications. Heavy user interfaces are no longer acceptable.
While functionality remains essential (such as account opening, loan origination, and credit card applications), the experience must feel native, responsive, and effortless. The challenge for banks in 2026 will be striking the right balance between simplicity and functional depth, while adopting modern technologies that support faster, more engaging digital experiences.
Customer onboarding will remain a critical focus area, especially given regulatory complexity across markets. In 2026 and 2027, banks will increasingly use intelligent automation to simplify onboarding journeys, allowing customers to submit documentation incrementally, pause and resume processes, and complete requirements without constant human intervention.
AI-driven follow-ups and state-aware onboarding journeys will not only improve customer experience but also significantly reduce operational overhead.
In lending, the industry is moving decisively toward plug-and-play models. Banks want solutions that work out of the box with well-known core banking platforms, supported by certified adapters and standardized integrations.
By 2026, lending platforms that clearly support the full lifecycle (origination, servicing, collections, and credit) while enabling faster implementation timelines will stand apart. Certification-driven compatibility will become a strategic advantage, reducing risk, cost, and time to value for financial institutions.
On the delivery side, heavy, product-centric implementation models are no longer sustainable. The future lies in journey-based, agile delivery, where banks focus first on their most critical customer journeys and bring them to market rapidly.
This approach, supported by agile pod structures, will dramatically shorten implementation timelines and help banks respond faster to competitive and regulatory pressures.
Operational excellence in 2026 will depend on automation at scale. High levels of automated testing, reuse of product-level assets, and proactive quality engineering will be essential to maintaining speed without compromising stability.
At the same time, documentation practices will evolve. Instead of heavy, static requirement documents, banks and vendors will rely on living product guides, focusing implementation documentation only on customizations and client-specific needs.
Finally, support models will undergo a fundamental shift. Banks increasingly expect partners to be proactive, offering insights into potential issues, industry best practices, and competitive benchmarks rather than simply reacting to incidents. Support will become a natural extension of delivery, with stronger knowledge continuity and deeper understanding of each client’s environment.
Looking Ahead
The banking industry in 2026 will reward institutions that prioritize connectivity, efficiency, and adaptability. Success will not come from isolated features, but from platforms and operating models designed to evolve continuously across channels, products, and customer journeys. The next two years represent a defining opportunity for banks to simplify complexity, accelerate innovation, and deliver truly seamless experiences across the financial ecosystem.
We're moving from AI adoption to AI as the operating model of banking.
Ghina Sabbagh
Product Marketing Manager, VeriPark
As we move into 2026, the conversation is about how decisively they can translate AI into sustained competitive advantage. The next phase of banking transformation will be defined by institutions that operationalize intelligence across every layer of the enterprise: customer engagement, decisioning, operations, and growth. AI is becoming the connective tissue of modern banking, shaping how institutions anticipate needs, act in real time, and deliver value at scale. The winners will be those who move beyond experimentation and embed AI as a core operating capability that drives measurable business outcomes.
At VeriPark, we see this shift as a defining moment for product leadership and market execution. Our focus is on enabling banks to move faster from strategy to impact by embedding intelligence directly into journeys, workflows, and decision engines. This means turning AI into a practical force multiplier, empowering relationship managers, automating complexity, orchestrating experiences, and unlocking new revenue opportunities with confidence and control. In 2026 and beyond, differentiation will not come from technology alone, but from how effectively institutions operationalize AI to deliver smarter decisions, stronger relationships, and sustainable growth.
When AI raises the bar: Smarter, more human marketing.
Oyku Topal
Marketing Manager, VeriPark
For years, marketers optimized for reach, impressions, and scale. They automated everything they could. That era delivered efficiency, but it also created a lot of noise. Now, something is changing: impact matters more than volume.
For financial institutions facing rising costs, fragmented attention, and AI-shaped customer expectations, this shift isn’t optional. AI is no longer just a capability behind the scenes-it’s actively redefining what customers consider relevant, timely, and valuable.
And that’s forcing marketing teams to rethink how growth is created. Customers don’t just want personalization-they expect understanding. In conversations with marketing leaders, one idea keeps surfacing: attention is easy to buy; impact is not.
So the question has changed. It’s no longer, “How do we reach more people?” It’s, “How do we matter more-at scale, with intelligence?”
1. From Campaigns to Continuous Value: The strongest brands in FY26 will think in continuous value. That means using AI to understand intent, anticipate needs, and deliver education, insight, and utility at the right moment across the customer lifecycle.
Brands that behave like ongoing partners (not periodic broadcasters)-guided by data, but grounded in human relevance- will earn trust, loyalty, and long-term mindshare.
2. AI Becomes Invisible: By FY26, “we use AI” won’t be a differentiator. Customers will assume it. The difference will be whether AI use feels helpful (reduces friction), natural (not creepy), transparent (clear consent and explainability where needed), respectful (privacy and regulatory realities built in).
3. Relevance Replaces Reach: Reach isn’t dead but it’s less efficient when audiences are fragmented across platforms, communities, and private spaces.
In FY26, marketers will shift from “maximum exposure” to “maximum relevance,” using AI and first-party signals to focus on smaller audiences with higher intent and deeper engagement.
4. Thought Leadership Becomes a Growth Channel: As trust in traditional advertising declines, expertise becomes a competitive advantage and AI accelerates both the opportunity and the risk.
In FY26, thought leadership won’t be about being louder or faster. It will be about combining human judgment with data-driven insight to deliver clarity, grounded in real experience and informed opinions.
5. Owned Audiences Become Strategic: With media costs rising and platforms becoming less predictable, marketers will take back control of relationships.
AI-powered first-party data strategies will fuel smarter segmentation, personalization, and lifecycle engagement. Communities, subscriptions, and direct channels will become strategic assets, not supporting tactics.
6. Emotion Beats Optimization: Optimization tools will keep improving and AI will make them faster and smarter. But optimization alone doesn’t build memory.
In FY26, marketers will prioritize emotional clarity over cleverness, storytelling over slogans, and authenticity over polish. Even in an AI-heavy world, people remember how brands make them feel.
7. Video Becomes a Language: Video won’t just be another format. It will become a core communication language shaped by AI insights but led by humans.
Short, direct, human storytelling: less polish, more presence. Brands that learn to think in video will communicate faster, clearer, and more effectively.
FY26 will reward marketing that is
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clear, not complex
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relevant, not loud
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human, not just automated
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consistent, not campaign-driven
Marketing won’t be about winning attention. It will be about earning trust and delivering impact intelligently and consistently.
At VeriPark, FY26 is seen as the year marketing becomes a true growth partner where AI, insight, and experience come together to create value customers can genuinely feel.
The future of marketing is smarter. More human. And more intentional.