Hi everybody ๐
Today, and for the 17th and final Reinsurance Tutorials video of the season, we will talk about the "AI for reinsurance contracts: eProcesing underwriting use case"
This final subject will be addressed by CCR Re experts Madeline Jauvat and Akli Kais.
Letโs start! โฌ
[Akli Kais]: Hello and welcome to this video on AI in reinsurance.
[Madeline Jauvat]: Hello. I'm Madeline Jauvat, Reinsurance Legal Advisor at CCR Re.
[Akli] : In this tutorial, we will be talking about the behind the scenes of the underwriting workflow in reinsurance and how AI can improve underwriting assistant routine.
We will also dive deep into how CCR Re implemented a document eProcessing tool, an AI-based assistant for entering contractual data from reinsurance treaties into our digital systems.
[Madeline] : In the reinsurance industry, entering contractual data from reinsurance treaties into a system refers to the process of capturing and recording valuable information contained in reinsurance contracts into a digital system. This information includes details such as policy limits, deductibles, premiums, coverage terms and conditions, and other relevant data.
The process involves analyzing the entire contract, identifying the key data points, and inputting them into a digital system in a structured and organized manner. Accurate and comprehensive data entry is essential for ensuring that reinsurance policies are properly priced, managed, and evaluated for risk. This can be a time-consuming and complex process, particularly for large and complex policies.
In this regard, with the collaboration of the digital factory team, we developed an AI-based assistant that can streamline and automate document processing, making the underwriting workflow more efficient and accurate.
[Akli] : To develop the document eProcessing tool, we followed five steps:
[Madeline] : At the end, I need to mention that the eProcessing document presents several benefits.
[Akli] : Thanks a lot for watching this video, now AI in reinsurance contracts has no secret for you.
[Madeline] : Thanks a lot and goodbye.
See you soon for a new season ๐