For most of the last decade, the core banking conversation focused on efficiency: replace ageing systems, reduce operating costs, and bring products to market faster. That conversation is not over, but it may no longer determine who wins.
What matters now is a question that many transformation roadmaps do not ask: Where are your products discovered and distributed, and who influences the moment they are chosen?
Banking products are not losing relevance. Demand for deposits, lending, and payments is not shrinking. What is changing is the shelf on which these products are found.
Customers no longer begin every financial decision inside a bank app. They may begin at a checkout page, a digital payment platform, a marketplace, an accounting application, a search result and, increasingly, a conversation with an AI assistant. A bank that is absent at the moment of discovery may not get the opportunity to compete on price or service. It may simply not appear among the available choices.
The Shelf Is Moving, and the Numbers Say So
McKinsey estimates that embedded finance channels could initiate 20 to 25 percent of retail banking sales to individuals and SMEs by 2030. In Europe alone, embedded finance could surpass €100 billion and account for 10 to 15 percent of banking revenue pools.
That is not a niche opportunity. It represents a meaningful share of origination flows moving to channels that most banks do not own today. The Finacle Banking Trends Report 2026 also expects this shift to extend beyond payments, with lending, deposits, and SME and corporate banking products increasingly embedded into customer journeys.
Juniper Research forecasts that global open banking API calls will rise from 137 billion in 2025 to 722 billion by 2029, growing 5x in four years. It expects AI integration to accelerate this growth by enabling more personalized financial management and lending propositions. As more services are delivered through open banking connections, the strategic question for banks is whether they simply provide the underlying data and capabilities or use those connections to extend distribution, shape propositions, and capture more value.
Evidence from retail is also worth considering. Adobe Analytics recorded a 4,700 percent year-on-year increase in generative AI referral traffic to US retail sites in July 2025, although AI-driven traffic remained modest compared with established channels. The lesson is not that traditional channels will disappear. It is that new discovery surfaces can develop quickly, and institutions need to be ready to participate.
Multiple Ways to Distribute, Strategic Choices to Make
Distributed banking is not one model. It includes several models, each carrying different trade-offs across margins, control, customer access, and risk.
Embedded banking: The bank places its product inside a partner’s journey, such as credit at checkout or working capital within an accounting platform. The partner manages the customer interface, while the bank provides the product, funding, risk decision, and regulatory oversight.
Marketplace banking: The bank turns its own channels into a storefront carrying both bank-manufactured and third-party products. The bank earns from relevance and curation, rather than relying only on product manufacturing. This model may require banks to recommend a third-party offering when it better meets the customer’s needs.
White-label banking: The bank provides the regulated capabilities and infrastructure, while a partner delivers the banking service under its own brand. This model enables banks to extend their reach and generate new revenue through partner-led distribution, with attractive economics as volumes scale.
Ecosystem-led banking: The bank works with partners across an industry to address a broader customer need. For example, in agriculture, it may combine financing with access to equipment, insurance, logistics, and marketplaces. Banking is no longer offered as a separate product but as part of the complete solution the customer needs.
Finance marketplaces: Third-party platforms connect banks with customers actively comparing financial products. Banks compete through relevant propositions, competitive pricing, clear terms, and seamless fulfilment.
The point is not that every bank must pursue all the models. Every bank should consciously decide where it wants to participate and where it does not.
Whether to manufacture, distribute, curate, or embed financial services is now a strategic choice, not merely an IT decision. Making no explicit choice can leave the decision to whichever participant reaches the customer first.
A New Shelf That Could Shape the Next Five Years
Beyond these established models, a new discovery and distribution layer is emerging, and it could reshape how financial products are found and selected.
It is AI-mediated distribution. Generative AI is emerging as an influential product-discovery channel. In Adobe’s survey, 38 percent of US consumers had already used generative AI for online shopping, primarily for product research, recommendations, and deal discovery. Among those users, 73 percent considered it their primary source of product research.
As AI interfaces evolve, they could move from influencing product choice to acting on customers’ financial goals. The Finacle Banking Trends Report 2026 expects banking interactions to become more context-aware and goal-oriented, with agentic AI orchestrating multi-step workflows across systems. AI-mediated distribution could therefore extend beyond product discovery and comparison to completing parts of the financial journey.
An AI assistant asked to optimize idle cash, for example, may compare yields, terms, access conditions, and eligibility rules across providers. It will rely on structured data. If a bank’s rates, eligibility rules, fees, and product terms are not available in a machine-readable and callable form, its products may not be shortlisted. This creates a new requirement: banks must not only design relevant products but also make them discoverable and accessible through emerging interfaces, enabling AI agents to evaluate and act on them effectively.
What This Actually Demands From the Core
Banks cannot distribute what their core banking platform cannot configure, expose, price, process, or control at the partner level. Doing so requires several foundational capabilities.
Composability, so banks can orchestrate reusable business capabilities to assemble and vary propositions by channel, partner, and segment without creating a separate technology stack for each model. A composable core banking approach also enables modernization to proceed progressively rather than as a single transformation bet.
Cloud-native operations, so banks can scale transaction capacity as partner and ecosystem demand changes, support real-time and event-driven interactions, and introduce new distribution arrangements without undertaking a major infrastructure program each time.
API-first and event-driven architecture, so external channels can securely consume banking capabilities and respond to events in real time, while banks monitor usage, control partner access, and meter API and event consumption for governance and monetization.
Agent-ready interfaces, so an assistant can discover your products, check eligibility and transact without a human in the loop. That means product terms published as structured data, banking capabilities exposed as callable tools through interfaces such as MCP, and the mandate and audit controls to act on an agent's instruction safely.
Security, compliance, and governance across every layer, because distributed banking expands the surface area for fraud, third-party risk, and regulatory failure. Partner-level controls, consent management, traceability, and real-time monitoring are essential to making these models sustainable.
Finacle Core Banking
This is where Finacle Core Banking can provide the required foundation. As a next-generation core banking platform, it combines composable, cloud-native, API-first, microservices-based, and real-time capabilities. This modern core banking architecture helps banks create and distribute differentiated propositions across direct, embedded, marketplace, white-label, and ecosystem-led models.
With comprehensive capabilities across retail, corporate, SME, and Islamic banking, Finacle Core Banking helps banks address diverse banking requirements across segments. Extensive parameterization, product bundling, and reusable business components accelerate product innovation, while open APIs support ecosystem participation and partner-led distribution.
Rather than requiring every new growth model to become a separate transformation program, Finacle Core Banking supports progressive core banking modernization and provides a scalable core banking platform for continuous evolution.
Conclusion
Distribution is becoming more fragmented, whether or not every bank chooses to participate in every model. Customers are still there to be won, but more moments of discovery and decision are taking place outside bank-owned channels.
Banks that treat the core as an engine for distribution, rather than only as a system of record connected to an app, will be better positioned to reach customers at those moments. The next growth story will not be defined only by who builds the best product. It will also be defined by who makes that product available wherever the customer’s need emerges.
References
- https://www.mckinsey.com/industries/financial-services/our-insights/embedded-finance-how-banks-and-customer-platforms-are-converging
- https://www.juniperresearch.com/research/fintech-payments/banking/open-banking-apis-market-research-report/
- https://business.adobe.com/blog/generative-ai-powered-shopping-rises-with-traffic-to-retail-sites
- https://cointelegraph.com/news/jpmorgan-citi-bank-of-america-launch-tokenized-deposit-system-2027
- https://www.finacle.com/insights/research-reports/banking-trends-2026/
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