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Case study

Top 20 U.S. Bank reduces onboarding time by over 60%

One of the oldest and largest banks in the United States, with $227 billion in total assets, ran its point-of-sale financing through a bespoke in-house build that supported exactly two merchant partnerships. It now onboards hundreds a month, on its own balance sheet and under its own brand.
Key Results

Engineered for scalability

Scaled merchant onboarding
100s/month
Cut merchant onboarding time
by 60%
Dedicated IT overhead per merchant
$0
case study parameters

Deployment scope and architecture

Customer
Top 20 U.S. bank by assets (FDIC data, Q4 2025)
Total assets
$227 billion
Region
United States, all markets
Compliance
Federal and state-level mandates
Starting point
In-house bespoke build supporting two merchant partnerships
Use case
Consumer financing online and in store
Product
The bank's own consumer lines of credit
Deployment
Direct settlement with the merchant
Why no name

As a white-labeled solution provider, many of our bank clients do not permit attribution. 

The Problem

The Challenge

The demand was not in question. Research the bank commissioned itself put numbers on what its customers wanted at the checkout counter.

66%
of consumers preferred not to apply for a new credit card to make a major purchase.
76%
said they would be more likely to complete a purchase if payment plan options were available at checkout.
Source: research commissioned by the bank

What the bank could not do was serve that demand. Its in-house bespoke solution supported two merchant partnerships in total. Onboarding a single new merchant took 18 months on average, and each one required significant dedicated time and technical resources.

So the bank was losing loan volume and customers to fintechs at the point of sale. Not on price, and not on credit appetite. On the time it took to connect a merchant.

The requirement was narrow. Zero disruption to legacy systems, merchant onboarding that scaled without a project per merchant, and white-labeling deep enough that the bank's brand stayed on the product.

The solution

What we built

The bank deployed Jifiti's modular point-of-sale financing solution. The credit was the bank's own. The brand was the bank's own. What changed was the cost of adding a merchant, which moved from a bespoke integration to a repeatable configuration.

Interface

100% white-labeled. The bank’s identity, brand and control stay on the product

Connectivity

API connectivity with core financial systems, no legacy disruption

Channels

Multi-channel deployment, online and in store

Ownership

Direct customer ownership and data retention guardrails

Merchant onboarding

Standardized processes. No custom development per merchant

Origination

Instant origination and disbursement at the point of sale

Settlement

Direct settlement to the merchant

The part that broke the 18-month ceiling was giving the bank two ways in rather than one. Merchants that need a deep integration still get one. Merchants that do not can go live without touching either side's systems.

In their words
Our bank achieved fintech-level agility within a tier-1 banking framework. It delivers responsible, transparent financing options that consumers demand, at the speed and scale the market requires.
Executive Vice President Tier-1 US bank
The outcome

What the bank achieved

Stated Plainly

The credit is the bank's own consumer lines of credit. Customer ownership and data retention stayed with the bank under contractual guardrails. Jifiti supplied the embedding layer, merchant onboarding, origination and disbursement, and settlement.

No change was made to the bank's legacy systems. Institutions that want a technology partner to hold the customer relationship, or to move the credit onto someone else's balance sheet, are not a fit for this configuration. Say so early and we will tell you the same on the first call.

What does adding a merchant cost you today?

The useful first conversation is a technical one. Let us know your current onboarding path and we will tell you what it takes to shorten it, including when the answer is that we are not the right fit.

Let’s talk Lending Tech

Hi, I'm Russell.