• Goal

Our client wanted to change the way loans were issued in the UK.

Traditional credit scoring systems often forced borrowers into high‑interest loans or excluded them entirely, despite evidence of responsible financial behavior. Our client identified that reliance on bureau data alone was leading to unfair lending decisions and limiting access to affordable credit.

They aimed to fix this by using open banking data and alternative financial indicators to assess a borrower’s real affordability — not just their credit score.

• Our solution

Our client came to us with business logic and scoring rules already defined. This significantly shortened the discovery phase. We only had to identify requirements, map necessary activities and design the architecture.

Then we created a prototype to quickly validate feasibility. After the positive outcome, we started working on a full solution.

It was a modular system built around three core components:

– Authentication module — handled secure creation and removal of applications.

– Scoring module — retrieved open banking data and classified it according to our client’s specifications: income patterns, spending behaviour, recurring commitments, demographic factors, etc.

– Configuration & Validation module — applied a three-step evaluation of the classified data against our client’s scoring rules and delivered a verdict.

All components were brought together in a unified dashboard that gave lenders a clear overview of each application’s status.

• Workflow

The development team operated fully remotely, following Agile methodology with structured sprints and bi-weekly demos to ensure continuous feedback and alignment. Transparent communication and progress tracking were maintained through Jira for task management and Slack for daily collaboration.