Canada Banking and payments Trends

Canada Banking & Payments

Top five trends for 2026

Isolated innovation initiatives are giving way to projects that embed new capabilities at the core of how banks and payment providers compete and create value. AI is transitioning from pilot projects to scaled deployment across fraud, compliance, and customer operations. The launch of the retail Real-Time Rail (RTR) will fundamentally alter the payments landscape, intensifying competition and expanding participation. Open banking is shifting from a period of prolonged policy debate to practical implementation, accelerating API modernization and bank–fintech collaboration. For all the opportunities, challenges remain. Legacy core systems are increasingly constraining digital-first ambitions, while economic pressure is elevating automation and cost efficiency from strategic priorities to business imperatives. Canada’s regulatory environment demands responsible innovation, strong governance and operational resilience, and a balance will need to be struck between speed and experimentation on the one hand and heightened expectations around transparency, risk management and consumer protection on the other.

Canada’s banking and payments sectors stand at a historic inflection point. Following years of experimentation, incremental modernization and regulatory consultations, 2026 will see transformative structural shifts across AI, real-time payments, open banking, digital platform renewal and operational efficiency as long-held strategic ambitions are realized.

Originally published in AltEnergyMag.com

Collectively, these trends signal more than an incremental evolution. They open the way for a structural reset in how Canadian financial institutions design platforms, manage risk, serve customers and compete within an increasingly open and real-time ecosystem.

A structural reset

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After nearly a decade of consultation, open banking is finally moving from discussion to delivery, with momentum expected to build further through 2026. While Canada has taken a more conservative, risk-based approach than markets in Europe, the proposed phased rollout signals new opportunities around data access, distribution and ecosystem collaboration. As a result, readiness is emerging as a critical differentiator. For banks, open banking accelerates the need for API modernization, robust consent management and strong data governance. The formal launch this year of phase one will allow only read-only access to third-party data, with federally regulated financial institutions required to share customer data securely via APIs. While limited in scope, this nonetheless represents a meaningful step forward, unlocking use cases around financial visibility, onboarding and customer experience while also laying the groundwork for future write-access capabilities. The initiative promises to unlock significant value for customers, with extensive data sharing anticipated among large financial institutions to simplify onboarding and provide clearer, more comprehensive financial insights. Certainly, market demand is already there – millions of Canadians are effectively already taking advantage of open banking through unsecured methods such as screen scraping. The shift to a regulated, API-based framework is therefore less about changing behaviors and more about making data sharing safer, scalable and more efficient as liability and consent models mature. Looking ahead, open banking is set to act as a catalyst for deeper bank–fintech collaboration, with the greatest value captured by organizations that treat open banking as a strategic growth enabler.

Open banking: accelerating API modernization and bank-fintech collaboration

For banks, open banking accelerates the need for API modernization, robust consent management and strong data governance.

Payments modernization: the advent of the retail Real-Time Rail

Decisions around which rails to prioritize, based on cost, speed, risk and regulatory clarity, will become increasingly strategic over the next year.

The move towards integrating AI and machine learning within Canadian banks has underway for a couple of years but is now set to accelerate materially through 2026, with institutions moving from experimentation and proof of concepts to enterprise-scale deployment. The focus has moved beyond identifying viable use cases to operationalizing those that will deliver measurable business impact, specifically across fraud, compliance, risk management and customer operations. The focus on isolated pilots and chatbot-led initiatives is shifting towards embedding AI directly into core workflows. AI is increasingly used in real-time to support contact center agents and equip relationship managers (RMs) with actionable insights and risk decisioning. This marks a clear inflection point: AI is no longer treated as an innovation layer, but rather as a foundational capability within day-to-day banking operations. We expect the strongest momentum to remain around fraud detection, AML and financial crime, where AI delivers the fastest and clearest return on investment. As bad actors adopt more sophisticated technologies, banks are under growing pressure to keep pace. While many fraud and risk teams already rely on advanced analytics, AI is increasingly acting as an accelerator, improving speed, accuracy and adaptability at scale. Alongside risk-focused use cases, banks are also doubling down on AI to drive operational efficiency and customer experience improvements. AI and agentic capabilities are being deployed to reduce inbound contact center volumes, automate routine interactions and make contact center employees more efficient. A defining factor shaping how this trend plays out is the regulatory divide between banks and payment service providers. With federally regulated banks subject to OSFI and FCAC oversight, they face significantly higher expectations around the responsible adoption of AI, including explainability, data governance and risk management. Legislative developments such as OSFI’s Guideline E-23 further reinforce the need for banks to clearly articulate how AI-driven models’ function, reducing tolerance for opaque or ‘black box’ decision-making. Typically operating under a lighter regulatory framework – a gap that is expected to widen in 2026 as bank-focused rules become clearer – payment service providers have more scope for faster experimentation and deployment, but this brings its own challenge in terms of the potential for heightened reputational risk.

AI & Machine Learning (ML): from experimentation to enterprise scaling

As bad actors adopt more sophisticated technologies, banks are under growing pressure to keep pace.

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Canada’s banking and payments ecosystem is entering a pivotal phase. With the launch of the retail Real-Time Rail (RTR) set for late 2026, we can expect to see a structural shift in how money moves across the economy – setting the stage for intensified competition and innovation and the emergence of new business models. A significant aspect of the RTR launch is its embrace of ISO 20022 data standards, which materially expands the range and value of potential use cases. While near real-time retail payments are already available through the Interac network, the combination of RTR and rich ISO data enables a faster, more innovative and data-intensive payments ecosystem. Taking into account the first phase of open banking, RTR further enhances data accessibility, creating a more connected environment for banks, fintechs and payment providers that will unlock new opportunities and competition around adoption, insights and value creation across the payments chain. Established banks are largely prepared for this transition, having invested early in infrastructure and integration. However, RTR also lowers barriers to entry, opening the door for new participants – including fintechs, PSPs and potentially credit unions – to connect directly into the payments ecosystem. This influx of new entrants is expected to intensify competition and reshape traditional operating models. There will be both opportunity and added complexity for banks – increased participation across the network expands reach, but also raises challenges around fraud prevention, payee verification and operational resilience. Banks will need to ensure fraud controls, confirmation-of-payee mechanisms and backend processes scale effectively in real-time without compromising system stability or customer trust. From a payment service provider perspective, the challenge is more foundational. Many PSPs are connecting to real-time rails for the first time, requiring significant upgrades across technology, operations and compliance frameworks. As participation broadens, an emerging segment of new entrants will require support to operate securely and effectively within a real-time payments environment. Beyond RTR, attention is also turning to new payment rails and digital assets, including stablecoins and tokenized forms of value. While Canada is likely to take a measured, fast follower approach in this space, financial institutions are closely evaluating how digital assets could coexist with traditional payment infrastructure. Decisions around which rails to prioritize, based on cost, speed, risk and regulatory clarity, will become increasingly strategic over the next year.

Digital-first: banking platform and customer experience transformation

With mobile firmly established as Canada’s primary banking channel, the conversation has shifted beyond simply “being digital”. Banks can no longer simply overlay digital experiences on legacy systems and expect to remain competitive. Institutions that are API-ready, real-time enabled, open by design and supported by continuous risk management are best positioned to create more compelling customer experiences and sustain competitive advantage. However, those legacy core banking systems remain a major constraint, with some still requiring outdated inputs and processes that actively undermine a digital-first experience – the flexibility needed to design and deliver the experiences customers expect is simply lacking. Modernizing these legacy systems not only enhances customer journeys but also drives meaningful cost and process efficiencies across the organization. What is changing is that more institutions are now building digital-native platforms from the ground up, enabling greater flexibility in design, scalability and security. As a result, banks are taking a harder look at how quickly they can modernize legacy technology to remain competitive in a market that increasingly rewards speed and adaptability. This urgency is being amplified by broader shifts in customer behavior and competitive dynamics. A generational transfer of wealth is underway, and the next cohort of customers is more digitally native and potentially less loyal than previous generations. While this is not an immediate threat, it becomes more material when combined with the rise of new entrants coming to market with more compelling digital offers, particularly in retail and wealth management, including robo-advisory models. In parallel, there is growing awareness of stablecoins and cryptocurrencies. While their impact is currently more pronounced in wholesale and commercial banking applications, the increasing traction we now see around such digital assets traction reinforces the imperative to modernize platforms and customer experiences to keep pace with these emerging forms of value exchange.

Banks can no longer simply overlay digital experiences on legacy systems and expect to remain competitive.

Slower economic growth, lower productivity, increasing regulatory compliance pressures and ongoing uncertainty around trade and tariffs are collectively shifting operational efficiency from being a transformation or innovation consideration to a business necessity. Efficiency is increasingly critical to protecting returns and ensuring long-term resilience. Historically, efficiency and automation initiatives were approached as incremental improvements or opportunities to reimagine individual processes. Given a weaker economy, stubborn productivity challenges and mounting external headwinds, the focus is now very much on taking costs out of the business. Automation, particularly when combined with AI and agentic capabilities, is emerging as a core enabler of measurable ROI and operational efficiency. Banks now have clear and tangible targets tied to these initiatives. The conversation has shifted from broad transformation efforts – such as reducing lending processes from 45 days to 10 days – to more specific operational outcomes, such as reducing contact center call volumes by 10% or lowering customer churn. As a result, automation programs are increasingly backed by defined operational KPIs and efficiency savings metrics. These measures are essential for near-term cost and productivity improvements, along with long-term protection of investor and shareholder returns and strengthening overall organizational resilience.

Operational efficiency: automation, data infrastructure and cloud investments are now critical

Given a weaker economy, stubborn productivity challenges and mounting external headwinds, the focus is now very much on taking costs out of the business.

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2026 will see transformative structural shifts across AI, real-time payments, open banking, digital platform renewal and operational efficiency as long-held strategic ambitions are realized.

Tracy Lagasse | Partner | tracy.lagasse@capco.com

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