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.
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.
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