Case Study

Fraudulent Claim Analytics at Fortune 500 Insurance Group

Our customer is a global insurance provider serving across 20 nations (English and Dutch Caribbean, including Trinidad and Tobago, Barbados, Jamaica, Curacao, Aruba, St. Maarten, and Bonaire, name to a few). In addition, our client offers products and services in the entire range of the Eastern Caribbean, Bahamas, Cayman Islands, United States Virgin Islands, and Belize.

Utilizing AI & ML models, the client required a robust system to manage their motor claim and approval processes.

Pioneering hyper-personalized AI/ML solution architecture, Technovert was able to implement a solution that improves the efficacy of underwriting operations. The success resulted in the long-term efficiency of the client’s claim management process.

To know about the Tech stack used and solution architecture implemented, download the case study to your right.

Claim Management Efficiency With ML-driven Fraud Detection




United States

Engaged in


    Download Case Study

    The Challenge

    Our client embarked on a strategy to leverage AI/ML to make their motor claim management and approval process more efficient. It was observed that during the pandemic, although the comprehensive policy claims volume was low – the claim amount per incident in the operating territory was observed to increase at ~10% on an average. This resulted in an increased risk exposure. The client needed a solution to predict and alert on suspicious claims.

    Download the case study for a detailed representation.

    Challenges get the best out of us. What about you?

    We love what we do so much and we're always looking for the next big challenge, the next problem to be solved, the next idea that simply needs the breath of life to become a reality. What's your challenge?