How we helped to prevent roughly 30% frauds which secured ROI within 1st year
Despite implemented rule-based engine and background check for new customers, our client suffered from application fraud (customers not paying for hardware and postpaid services) and was struggling to reduce it.
We have applied our own machine learning fraud detection framework to enhance risk management and empower fraud prevention process with AI.
Our framework was implemented in production, preventing roughly 30% frauds, which secured ROI within 1st year. Measured by a randomized control trial.
Case Studies
Protected: O2 Seamless Journey: A Successful Migration to Azure for Big Data Solutions with Adastra
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Pepper as a robotic bank assistant at Tatra banka
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