AI case study

TrustlyFraud detection

Fraud signals buried in unstructured bank data. Generative AI now categorizes each account before models score 500 transactions per second.

Published

Key results

Faster Risk Assessment
75%
Fraud Attempt Reduction
52%
False Positive Reduction
43%

Result highlights

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The story

Context

A global pay-by-bank payment processor with 110 million customers across 30+ countries, authorizing or declining more than 500 transactions per second in real time.

Challenge

The previous system wasn't built to analyze transaction data at the volume and speed required for real-time authorizations. The data science team had...

Solution
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Scope & timeline

  • ML model deployment cut from weeks to hours

Quotes

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The company

Account-to-account payment network for instant bank transfers and open banking.

IndustryFinancial Services
LocationStockholm, Sweden
Employees1K-5K
Founded2008

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Trustly's Fraud detection is part of this use case:

Fraud Detection
5 case studies(+300% YoY)
Proven impact?
LowModerateVery Strong
7.2Strong

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