What We Do
At Prolego.ai, we allow life insurance companies to reduce their customer acquisition costs and to optimize their application process in real-time. By supplementing underwriters with predictive risk assessments, they can determine which applicants are low-risk and for whom certain medical tests would be unnecessary.
With predictive modelling, everyone wins. Insurers minimize invasive medical tests and consumers get access to an accelerated underwriting process.
How It Works
Our state-of-the-art predictive models are powered by performing supervised learning on historical insurance application and medical test data.
Using this information, we can provide underwriters with accurate risk assessments of new applicants, optimizing the underwriters' workflow. Furthermore, every time an underwriter makes a decision about whether to prescribe a medical test, the AI learns about whether its recommendation was correct, further increasing its accuracy.
What We Offer
We offer you full customizability and tailor our predictive model to work with your application form. We allow you to automate predictions by connecting our model directly to your application form. We also provide a simple and easy-to-use interface for underwriters, allowing them to quickly get the risk predictions they want. Now, if your underwriters decide that the applicant's risk of foregoing a medical test is sufficiently low, that test can be skipped, saving the insurance company hundreds of dollars per applicant and greatly accelerating the time to issue the policy.
Our model is trained on an insurance company's historical data, meaning that it reflects the real risk of the applicants as accurately as possible.
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