Mitchell, a company that delivers technology solutions to the Property & Casualty (P&C) claims and Collision Repair industries, has enabled Claim Genius’ artificial intelligence (AI) access through the Mitchell Intelligent Open Platform (MIOP).
The move will enable US and Canadian carriers to use Mitchell Intelligent Estimating with Claim Genius computer vision algorithms to generate partial or complete damage appraisals of vehicles using photos and videos.
The use of Mitchell Intelligent Estimating with Claim Genius AI will enable real time processing of the photos of damaged vehicles.
Subsequently, Mitchell translates the AI recommendations into information that is specific to the Vehicle Identification Number (VIN) and pre-populates part and operation line items on the estimate.
The appraiser can then access it to review or edit the estimate.
Claim Genius CEO and founder Raj Pofale said: “As a leader in AI-based auto claims technologies, we are committed to streamlining the appraisal process and to helping reduce claim processing time, increase carrier profitability and revolutionize the claims experience for insurance customers worldwide.
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By GlobalData“Through our collaboration with Mitchell, Claim Genius will continue to deliver on this commitment while providing the industry with an innovative, scalable and cost-effective solution for claims automation.”
Mitchell senior vice president of global product strategy and artificial intelligence Olivier Baudoux said: “Mitchell’s open, cloud-based platform gives insurers the ability to create an automated claims experience that meets their needs.
“By teaming up with Claim Genius, customers will enjoy more AI options. This further demonstrates our pledge to ongoing innovation through standardization of the latest AI solutions under the MIOP, a single, easy-to-integrate platform.”
“Mitchell Intelligent Estimating, together with Claim Genius’ AI, will help enable carriers, automakers and multi-shop organizations (MSOs) to increase customer satisfaction, decrease expenses and lower cycle times.”