Goscore
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07 · Product · Financial Intelligence

Turn raw financial data into decision-ready evidence.

The foundation underneath every Goscore use case: consented Open Banking data, enrichment, categorisation, income and expense analysis, affordability indicators and risk features exposed through APIs and decision flows.

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Where this sits in the decision stack
Primary buyer
Data / Risk Platform / Product
Job to be done
Create reliable reusable financial signals for lending workflows
Adoption model
Challenger · second look · API layer
§ 01 — How Goscore creates value

Better evidence before a more consequential decision.

  • 01Normalise and categorise transaction data
  • 02Verify income and recurring obligations
  • 03Calculate behavioural affordability and risk indicators
  • 04Feed explainable features into existing scorecards and workflows
Goscore evidence
PSD2
transaction-based financial analysis
30k+
applications processed by 2022 in historical Goscore materials

Gathered during pilot implementations and production lending use cases. Figures are specific to those portfolios and policies; results vary by lender, policy and implementation.

§ 02 — Low-risk adoption

Prove the outcome before changing production.

01

Replay

Run a representative historical portfolio through Goscore.

02

Compare

Measure incremental information, decision changes and realised outcomes.

03

Define

Choose the narrow segment where Goscore adds measurable value.

04

Integrate

Deploy as a challenger or additional decision layer with clear governance.

Do not buy the claim. Test the portfolio.

The first commercial objective is not a transformation project. It is a controlled evidence exercise with a pre-agreed success threshold.