Insurance companies are assessing ways to integrate artificial intelligence (AI) and machine learning (ML) into their businesses to increase efficiency, and underwriters are a crucial part of that implementation.
Facultative cases exist on a spectrum of difficulty, and increasingly, insurers recognize that many of these substandard submissions benefit from a blend of human judgment and automated processes – a hybrid approach. RGA's Scott Sibley explains.
Driven by the need to slow or stop the spread of COVID-19, accelerated underwriting may save lives while increasing sales of life insurance.
When you have deployed an underwriting engine, that is not the end of the journey. Quite the opposite: it is just the beginning.
Several systems are available in the market. To help you research beyond a provider’s high-level content and demos to evaluate the right system for your business, we recommend asking them the following five questions.
Underwriting engines have been around for over 20 years. Initially they were used in head offices, processing application form information keyed in by clerical staff, and avoiding the need for (expensive) underwriters spending time on the more straightforward cases.
The industry has yet to tap the true potential of accelerated underwriting because the automation component has been missing.
The race to develop accelerated products has driven life insurers to cautiously embrace the next generation of data.
Kyobo Life Insurance announced on October 30 that its AI-based underwriting system, known as Best Analysis and Rapid Outcome (BARO), is now fully operational.