Fintech Fraud Detection (UK)
The Challenge
Manual fraud detection resulting in 64% false positives.
Human+AI Solution
Human+AI ML model + agentic workflow for alert routing + human validation.
Full Story
A UK Fintech firm struggled with manual fraud detection generating 64% false positives. We implemented custom ML models paired with an intelligent agentic workflow for alert routing. Crucially, the system incorporated a mandatory human validation layer, resulting in a 90% accurate fraud detection rate and 2.3x faster processing.
Enterprise Architecture Parallel
Validated by Stripe
Our agentic workflow mirrors Stripe Radar's approach: utilizing adaptive machine learning to flag risks in under 100 milliseconds, combined with 'Human-in-the-Loop' custom rules to drastically reduce false positives.
View Industry PrecedentMeasured Results
Ready for your own success story?
Our Human+AI hybrid approach consistently delivers 2.3x faster results while maintaining 100% compliance and reliability.
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