Integration will allow the reinsurer to obtain GRLC messages from brokers and cedents
![TransRe to utilize ACORD's new AI models for improved data exchange](https://cdn-res.keymedia.com/cdn-cgi/image/w=840,h=504,f=auto/https://cdn-res.keymedia.com/cms/images/us/003/0343_638417030954512143.jpg)
These AI fashions, designed to acknowledge numerous dealer and cedent accounting and declare doc codecs, are part of ADEPT’s intensive library, which incorporates over 50 AI fashions aimed toward supporting the digitization of information throughout the re/insurance coverage trade.
ADEPT is a platform that facilitates real-time knowledge trade between digitally and non-digitally enabled buying and selling companions within the re/insurance coverage sector. TransRe plans to make the most of these AI fashions along side the ACORD Transcriber knowledge extraction service. This integration will allow TransRe to obtain ACORD World Reinsurance and Giant Industrial (GRLC) messages from brokers and cedents who will not be digitally enabled.
TransRe first adopted ADEPT in 2021 as a method to streamline and automate its handbook doc processes. The platform has enabled the corporate to transform non-standardized accounting and declare paperwork into validated ACORD GRLC messages, that are then integrated into TransRe’s proprietary reinsurance system, the TransRe Worldwide Reinsurance System (TIRS).
“Implementing ADEPT and integrating it into TIRS has allowed us to automate beforehand handbook doc processes and improved the accuracy and interoperability of our knowledge,” TransRe CIO and EVP George Di Martino stated.
“In an more and more digital ecosystem, it’s crucial that stakeholders are outfitted with revolutionary capabilities that assist them join and sustain with the accelerating tempo of change within the trade. By means of these new AI fashions, TransRe’s newest implementation of ADEPT will assist drive higher efficiencies for its shoppers throughout the worldwide insurance coverage trade,” ACORD world managing director and EVP Chris Newman stated.
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