Major Insurance carrier in Europe
Customer video analytics for Fraud detection
Problem
The client needed an efficient method to analyze and detect potential fraud in video testimonials submitted by customers explaining the reason for the loss of their insured devices.
Solution
An AI-powered video analytics solution was developed to identify patterns of non-verbal cues indicative of potential fraud. The system leveraged expert insights to define behavioral traits commonly associated with deceptive behavior.
Outcome
The automated fraud detection system significantly reduced costs for the insurer while identifying a substantial number of fraudulent cases, enhancing overall efficiency and accuracy in fraud prevention.
AI-Powered Video Analysis to Uncover Fraud in Insurance Claims
As part of the insurance claims process, customers were required to upload video testimonials explaining the reason for the loss of their insured devices. The challenge was to analyze these videos for non-verbal cues that might indicate potential fraud. A video analytics solution was developed using Python-based modules, incorporating expert insights to define behavioral patterns associated with deceptive behavior. The system utilized image and video analytics to detect these patterns and calculate the likelihood of fraud.
Automating this task led to significant cost savings for the insurer by minimizing manual intervention and improving operational efficiency. The solution enhanced fraud detection capabilities, identified fraudulent claims with greater accuracy, and streamlined the claims process, resulting in faster resolution and a more reliable experience for both the insurer and genuine customers.
Smart solutions for honest claims
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