Real-time payments

Arborline Bank creates an AI-ready operational layer for card payments

The bank uses SelectiveDB between its core systems and digital channels to support reusable payment services, real-time fraud context and faster product delivery.

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Abstract artwork for Arborline Bank

The challenge

Growing payment volumes and mainframe dependencies made it expensive to deliver consistent digital experiences across channels.

The solution

Arborline introduced a governed operational data layer that serves card services, APIs and fraud-investigation assistants.

The outcome

The bank processes high-volume payment data with sub-second access and can release channel features through reusable services.

Industry
Banking
Products
SelectiveDB, Selective Cloud
Use case
Payments modernisation
The challenge

Modern digital experiences on top of critical core systems

Arborline Bank’s card platform supported decades of products, customer histories and risk controls. Core systems remained reliable systems of record, but new mobile experiences depended on complex point-to-point integrations and specialist mainframe releases.

Payment volume continued to grow while customers expected immediate alerts, controls and personalised service. Fraud teams also needed a current view of transactions, devices, disputes and customer interactions before an analyst—or an AI assistant—could make a useful recommendation.

The solution

An operational data layer for every channel

The bank created a new operational data layer on SelectiveDB. Change streams from core systems populate a governed customer-and-card view that is exposed through reusable services to mobile, web, servicing and partner channels.

The same data model supplies fraud-investigation tools with real-time transaction context and links to supporting evidence. Selective Cloud provides encryption, private connectivity, workload isolation and automated resilience while core records remain in their existing systems of record.

The outcome

Payment services that can evolve independently

Arborline now processes 16 terabytes of operational payment data each day and supports 65 production microservices. At peak, the platform handles 5.8 million events per hour while preserving sub-second access for customer channels.

Reusable services doubled the pace of feature releases across mobile and servicing experiences. Fraud analysts also receive a consolidated case context in seconds rather than navigating multiple legacy screens.

Measured impact

A data foundation designed for the moments that matter

16 TB
processed daily
65
production microservices
5.8M
peak hourly events
faster feature releases

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