Open banking is becoming a natural part of today’s fast-moving digital finance world, helping services connect more smoothly.
VELLIS NEWS
26 Nov 2025
By Vellis Team
Vellis Team
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BNPL providers now rely on clearer, real-time insight into a customer’s income, spending, and cash flow so they can make quick and accurate approval decisions. This creates a simple data pathway between consumers, banks, and lenders, allowing BNPL and open banking to work together to support more grounded, data-driven credit choices. The focus here is on how this shared data strengthens everyday credit decisions, without going into regulatory or technical details.
In modern credit evaluation, these systems work together to give lenders a clear, up-to-date view of a customer’s finances. Direct access to bank activity lets approvals rely on real cash flow, spending patterns, and account behavior rather than outdated snapshots. Automated tools use live insights to assess whether short-term installments are manageable. Combined with BNPL data analytics, this approach provides a complete picture of financial habits, enabling providers to offer credit that reflects a customer’s true daily capacity, improving accuracy and reducing risk in modern credit evaluations.
This approach allows lenders to view live account information through a secure, permission-based connection that the customer approves before any data moves. Once consent is given, the system pulls only the details needed for the evaluation, creating a simple and controlled data flow. Transaction history appears almost instantly, giving a clear picture of recent spending, incoming funds, and overall financial rhythm. Real-time balances then make it easier to check whether a person can comfortably manage a new installment plan without straining their budget. When combined with insights such as BNPL impact on credit score, this live data helps lenders form decisions that reflect a customer’s true financial position at the moment of application.
These models lean on real, day-to-day banking activity instead of old credit bureau files, which often miss the small details that actually show how someone manages money. They look at the flow of transactions, such as regular bills, food spending, small purchases, subscriptions, and even the timing of payments, to build a clearer sense of stability and risk. Income is checked through actual deposits and their consistency, making the process more grounded than relying on broad estimates. Spending habits also play a big role: steady patterns and manageable outflows usually lift approval thresholds, while unpredictable swings can tighten them. When providers integrate Buy Now Pay Later services into this data approach, they get a much more honest picture of a person’s financial rhythm, making decisions feel more practical and fair.
With direct visibility into live account activity, lenders can cut down on false approvals and needless rejections because they see a customer’s real financial situation instead of guessing from outdated files. Income stability is checked through the rhythm of actual deposits, allowing the system to notice shifts, like irregular pay cycles or sudden drops, right as they happen. This feeds into real-time affordability modeling, where current balances and spending trends shape a more honest picture of what a customer can handle. Because all the data is fresh rather than weeks or months old, every approval decision becomes sharper, more precise, and better aligned with a person’s true financial capacity at that moment.
Open APIs make it possible for banks and BNPL providers to exchange data through secure, permission-based connections that follow the same rules every time. Because these interfaces use standardized access protocols, both sides know exactly how the data should be requested, delivered, and protected, which keeps the process smooth and predictable. This structure also scales easily across different banks, fintech platforms, and regions, since the same API format can plug into many systems without constant custom adjustments. The whole setup depends on strong reliability, so steady system uptime and fast response speeds are essential; if an API goes down or slows, approvals and affordability checks stall. When these connections run well, they create a clean, consistent link that supports quick and accurate credit decisions.
Open banking gives BNPL providers a clearer, up-to-date view of customer finances, making risk management more accurate and responsive. Impact can also be detected in the following forms:
In this model, data sharing starts only when a customer gives clear and explicit consent, ensuring they stay in control of what is accessed and for how long. Authentication is handled through secure login methods, often using the bank’s own verification steps, so the identity check feels familiar and safe. Privacy protections then keep the shared information limited, encrypted, and used solely for the credit assessment at hand. When these safeguards work smoothly, they help build consumer trust, showing that open banking–enabled BNPL services can offer faster decisions without sacrificing security or personal control.
BNPL providers feed banking data directly into their underwriting engines, letting algorithms evaluate income, spending, and cash flow in real time rather than relying on outdated reports. Automated approval workflows then use this information to instantly determine whether a customer qualifies, speeding up the process while keeping decisions consistent. Real-time decision orchestration ensures that each step, from data retrieval to risk scoring and affordability checks, happens seamlessly, minimizing delays or errors. Behind the scenes, backend data reconciliation processes match incoming bank information with internal records, ensuring accuracy and completeness so the system can operate smoothly and maintain reliable, up-to-date credit assessments.
Open banking provides merchants offering BNPL with clearer financial insights, helping improve approvals, reduce failures, and enhance overall transaction reliability.
Open banking offers many advantages for BNPL, but several challenges can limit its effectiveness:
The future of open banking in BNPL credit decisioning points toward more comprehensive and precise underwriting as open finance expands access to diverse financial data. Predictive risk models will evolve, using richer transactional insights to anticipate payment behavior and manage risk more accurately. As more banks participate, BNPL providers can tap into wider data pools, improving approvals and affordability checks. Ultimately, this shift may redefine consumer lending standards, making credit decisions faster, fairer, and more closely aligned with a customer’s real financial capacity.
Open banking uses real-time income and spending data, reducing reliance on outdated credit scores.
Yes, consumer consent is required. Users authorize access, granting permission for specific data and can revoke anytime.
No, open banking complements credit bureaus. Hybrid models combine live bank data with bureau scores for accuracy.
Open banking data is highly secure, protected by encryption, strict access controls, and regulatory data protection standards.
Yes, open banking helps thin-file customers by using banking data to assess income and spending, enabling affordability-based approvals.
Powens: Open Banking: The Key to Unlock Instant Credit Decisions
https://www.powens.com/blog/open-banking-the-key-to-unlock-instant-credit-decisions
GoCardless: How “Buy, Now Pay Later” uses open banking
https://gocardless.com/guides/posts/buy-now-pay-later-open-banking
Hyperface: How Open Banking is Reshaping the Future of Financial Services
https://www.hyperface.co/blog/how-open-banking-is-reshaping-the-future-of-financial-services/
Aevi: The role of open banking in BNPL – what you and your merchants need to know
https://aevi.com/newsroom/the-role-of-open-banking-in-bnpl-what-you-and-your-merchants-need-to-know
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