[Client Info]Global Payments Firm
A multinational fintech company specializing in digital payment processing and fraud prevention across financial institutions and retail.
#1. summary.
The Digital Risk Intelligence Initiative aimed to help the client reduce fraud losses and improve real-time authorization across high-volume transactions. With millions of payment events daily, their legacy fraud engine was failing to catch emerging patterns, impacting approval rates and customer experience. Xuno deployed a predictive AI solution for behavioral risk scoring. The platform was integrated across mobile, web, and merchant endpoints.
Technologies used:
#2. challenges.
The client faced high false positive rates in fraud detection, causing revenue loss and user friction. Rule-based systems could not keep pace with evolving fraud signals, and siloed data across payment gateways and merchant networks created blind spots. Compliance requirements also mandated auditable decision-making, limiting flexibility and delaying deployment of updates to fraud logic.
#3. solution.
Xuno introduced a real-time behavioral scoring engine using AI-driven pattern recognition and anomaly detection. It combined customer device data, behavioral biometrics, and transaction metadata. We designed a dynamic risk dashboard that allowed compliance teams to audit decisions and retrain models with feedback loops. The platform also supported multilingual alerts and regional compliance protocols across EMEA and LATAM.
#4. outcome.
Fraud-related losses dropped by 27% within the first quarter. Transaction approval rates improved by 9%, and the average time to flag suspicious activity decreased by 61%. The predictive scoring engine was fully integrated into the client’s transaction pipeline, allowing faster, smarter approvals and fewer false declines. The engagement helped the client reclassify risk tiers in real time across 18 countries.
