SCOR partners with DGTAL to harness AI for claims management
SCOR’s German operations has partnered with DGTAL to leverage artificial intelligence for improving claims assessments and management, with their first pilot launching next month.
DGTAL and SCOR will launch a pilot to use the DRILLER platform for the assessment of disability claims starting in April 2024.
DRILLER is an AI-powered portfolio tool designed to develop and display a contextual understanding across a wide array of cases and documents. This application allows users to sift through massive volumes of data to identify patterns, trends, and insights, thereby facilitating a more nuanced and comprehensive analysis for decision-makers.
SCOR will be the first reinsurer to pilot the next DRILLER release, which will provide a full contextual understanding of key documents and full claims files with the ambition to significantly shorten assessment time and improve quality. In combination with already existing DRILLER functionalities, incoming cases will be presented “ready-for-human-decision” and learnings from the portfolio will be safeguarded, DGTAL explained.
With the implementation of DRILLER, SCOR sees “great potential” for leveraging AI to improve claims management and anticipates a “significant acceleration” in claims assessments as well as enhanced accuracy and speed.
Arndt Gossmann (pictured right), DGTAL CEO, said: “The insurance business is document-heavy and therefore it will benefit tremendously from AI. I am impressed by SCOR’s commitment as a reinsurer to be among those that aim to take advantage early. And I am looking forward to working with the SCOR team to make this happen.”
Thomas Trompetter (pictured left), SCOR head of client services Central Europe, added: “Claims management is very complex in disability insurance and AI solutions certainly have the potential to play a significant role in the long-term profitability of insurance portfolios in the coming years. Digitalisation of processes and increased efficiency in claims assessment are essential. In future, we would like to be able to better utilise the resources available with the support of AI.”
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