Automated Underwriting

Problem

In automated underwriting, the risk perspective of the system and the classification models of the client profiles are so crucial to determine the right assessment and approval path of the related issue. If the model construction of the system doesn’t cover all the issues, there will always be misevaluated cases. Keeping the model always up-to-date is another challenge.

Challenge

The model of the product should be designed by considering as many variables as possible and feeding with substantial issue data to be updated and aware of most of the possibilities. False-positive or false-negative cases shouldn’t be ranged as exceptions.

Solution

Aigoritma improves claims automation by using machine learning models as a fast and accurate solution to help insurance companies. Clients can submit the claim online through the claim automation services by filling in the information about the cause of the loss. This automation can provide accurate optimization with a fast, fair and satisfactory customer experience.

See Aigoritma in Action

Schedule a live demo to learn more about how Aigoritma’s trusted enterprise AI platform can help you deliver value and success to your organization.

© 2022 Aigoritma. All rights reserved.