Priya Jaiswal is a recognized authority in banking, business, and finance, bringing a wealth of knowledge in market analysis and international portfolio management. As the financial landscape moves toward a total integration of services into non-financial platforms, her expertise provides a vital roadmap for navigating the structural shifts expected by 2026. In this conversation, we explore how embedded banking is evolving from a simple payment feature into a comprehensive distribution architecture that redefines how retail, SME, and corporate clients interact with their money.
We dive into the transition from traditional credit bureaus to real-time data signals, the untapped potential of vertical SaaS for small businesses, and the modernization of corporate treasury. We also discuss the regulatory challenges of data portability and the immense market projections that place B2B activity at the center of the next financial revolution.
Digital environments like marketplaces and SaaS workflows are becoming the primary touchpoints for financial services. How are customer expectations for native, “invisible” tools changing, and what specific technical hurdles must platforms overcome to eliminate redirections or separate logins by 2026?
Customer expectations have shifted fundamentally because users no longer view financial services as a destination, but as a feature of their daily digital activities. We are seeing a move away from the “swivel-chair” model where a user has to jump between a bank portal and a business application. By 2026, the market will reach an inflection point where any friction, such as a separate login or a redirection to a third-party site, will be seen as a failure in user experience. To solve this, platforms must overcome the technical hurdle of deep API integration and multi-tenant architectures that allow financial tools to live natively within the workflow. This requires a transition to SaaS-grade operating principles and real-time data orchestration to ensure that the financial interaction feels like a natural extension of the marketplace or software environment.
Embedded lending is shifting from traditional credit bureaus toward real-time signals like inventory velocity and daily sales fluctuations. How do these contextual data points improve underwriting accuracy for thin-file borrowers, and what steps should lenders take to integrate these signals into their legacy risk models?
Contextual data points provide a high-definition view of a business’s health that a static credit score simply cannot match. By analyzing inventory velocity, daily sales fluctuations, and even fulfillment reliability, lenders can assess the actual cash flow and operational discipline of a borrower in real time. This is a game-changer for thin-file MSMEs and gig workers who may lack a long credit history but possess strong, verifiable transaction data on platforms like Shopify or Mercado Libre. For traditional lenders to capitalize on this, they must move away from batch processing and integrate API-first data feeds into their risk engines. They need to build “data-ready” infrastructures that can ingest these non-traditional signals to offer lower ticket-size loans and faster disbursements that were previously deemed uneconomical.
Vertical SaaS platforms now serve as core operating systems for nearly 60% of SMEs, yet products like insurance and expense management remain underutilized. Why is there a disconnect in these specific areas, and how can API-first partnerships between banks and SaaS providers bridge this adoption gap?
The disconnect exists because of entrenched legacy relationships and the sheer complexity of SME underwriting, which has kept products like insurance and expense management in silos. Even though 59% of SMEs now use vertical SaaS as their primary operating system, many still manage their finances through traditional, disconnected bank channels. API-first partnerships bridge this gap by allowing banks to “plug into” the SaaS platform’s data, enabling them to offer usage-based insurance or automated expense management based on real-time operational behavior. This transition reduces acquisition costs for the bank while providing the SME with a tailored financial toolkit that is embedded directly into their daily management software. It effectively turns the SaaS provider into a growth partner rather than just a software vendor.
Many large corporations are currently modernizing their digital cores and ERP systems to automate treasury and FX functions. What are the specific advantages of embedding liquidity management directly into corporate workflows, and how must bank architectures evolve to support this “swivel-chair” free operational model?
Embedding liquidity and FX management directly into corporate ERPs eliminates the dangerous lag time and manual errors associated with moving data between internal systems and banking portals. When a treasurer can manage cash flows, escrow, and payments within the same environment where procurement and sales happen, the company gains a real-time view of its financial position. For banks to support this, their internal architectures must evolve from legacy silos to enterprise-grade API delivery systems. This means adopting subscription or consumption-based pricing models and ensuring that their systems can handle the high-velocity, real-time data orchestration required by modern Fortune 500 digital cores. If banks fail to make this shift, they will lose relevance as large corporates migrate toward platform-first ecosystems that offer superior automation.
Market projections suggest embedded finance will exceed $690 billion by 2030, driven largely by B2B activity and supply chain financing. Where will the most significant value pools concentrate within the next five years, and what metrics should financial institutions track to measure the success of their API commercialization?
The most significant value pools are concentrating in B2B activity, which is expected to account for $13 trillion of the $20.8 trillion in global financial flows by 2030. Specifically, the SME segment in North America and Europe presents a massive opportunity, with an addressable market for embedded payments and capital solutions estimated at $185 billion, despite current penetration being only $32 billion. To measure success, financial institutions should look beyond traditional interest margins and track metrics related to API commercialization and transaction volume within third-party platforms. They should monitor the growth of embedded banking revenues, which are projected to hit $45 billion by 2030, and evaluate the efficiency of their “banking-as-a-service” utility in lowering customer acquisition costs through partner ecosystems.
As the industry moves toward tokenized receivables and programmable settlement, data portability becomes a major regulatory concern. How can platforms ensure borrowers build portable credit profiles instead of becoming captive to one ecosystem, and what role will consent-led frameworks play in this transition?
The risk of “platform captivity” is real, where a merchant’s creditworthiness is only recognized within the ecosystem where they conduct their business. To prevent this, the industry must adopt open-data frameworks and consent-led portability standards that allow a borrower to take their “reputation” and transaction history with them to other lenders or platforms. As we move toward a future of tokenized invoices and receivables, these digital assets must be interoperable across different infrastructures. Consent-led frameworks ensure that the user remains the owner of their data, allowing them to authorize the sharing of their “real-time signals” with various financial providers. This not only protects the consumer but also fosters a more competitive and healthy financial ecosystem where credit is based on merit rather than platform loyalty.
What is your forecast for embedded financial infrastructure?
My forecast is that by 2026, embedded banking will transition from an experimental innovation to the dominant distribution model for all financial services. We will see more than 50% of consumer financial transactions initiated on third-party platforms, effectively moving the primary customer relationship away from traditional bank branches and apps. The market will expand at a staggering compound annual growth rate of over 36%, reaching nearly $690 billion by the end of the decade as B2B supply chains become fully digitized. Ultimately, the banks that survive will be those that stop trying to own the interface and instead focus on becoming high-performance, API-driven utilities that power the global digital economy from behind the scenes.
