See how 5 companies
use AI for fraud detection

Context Windows brings together credible AI case studies from the open web, so you can pick and prioritise the use cases that are already working.

Real-world implementations from

Washington State University logoW
Washington State UniversityExpense auditing
Trustly logoT
TrustlyFraud detection
Avantia Group logoA
Avantia GroupClaims fraud detection
Washington State University logoW
Washington State UniversityExpense auditing
Trustly logoT
TrustlyFraud detection
Avantia Group logoA
Avantia GroupClaims fraud detection
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5 case studies
Trustly logoT

Trustly

Financial Services|Mid-size

Fraud detection

AgenticL4

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

75%Faster Risk Assessment
via aws.amazon.com
Published today
Washington State University logoW

Washington State University

Education & Training|Enterprise

Expense auditing

AgenticL4

Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.

$20k+Cost Savings
via workday.com
Published Feb 26, 2026
Avantia Group logoA

Avantia Group

Insurance|SMB

Claims fraud detection

AgenticL2

Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.

£1.2MProjected Annual Savings
via cloud.google.com
Published Jan 24, 2026
Robinhood logoR

Robinhood

Financial Services|Mid-size

Financial crime investigation

AgenticL3

Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.

~20%Efficiency Gain
via aws.amazon.com
Published Sep 2, 2025
IBM logoI

IBM

Technology|Enterprise

Journal entry processing

AgenticL3

Manual checks across systems bottlenecked the financial close. Now, AI automates ledger entries while analysts manage exceptions.

$600,000Annual Cost Savings
via ibm.com
Published May 1, 2025