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Mitchell and Claim Genius work to make estimate automation a reality

by techsterhub bureau
September 22, 2022
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Mitchell, an Enlyte company and leading provider of technology, connectivity, and information solutions to the Property & Casualty (P&C) claims and Collision Repair industries, today announced that its advanced claims automation solution will support straight-through processing using the latest artificial intelligence (AI) from Claim Genius. With Mitchell’s cloud-based architecture, open platform and comprehensive repair data, and Claim Genius’ proprietary computer vision technology—which detects exterior, interior, and unrelated prior damage, as well as returns recommendations for labor operations and judgment times—U.S. and Canadian auto insurers, can automatically produce a full or partial estimate from photos or videos of collision damage. This will help them accelerate claims processing, enhance policyholder satisfaction and provide a streamlined, digital claims experience.

Representatives from both companies will be at InsureTech Connect this week to demonstrate their integrated technologies.

“Our focus continues to be on delivering a best-in-class, scalable claims automation solution powered by the industry’s leading AI,” said Olivier Baudoux, senior vice president of global product strategy and artificial intelligence at Mitchell. “Through our open, cloud-based platform and collaboration with innovators like Claim Genius, auto insurers have many options and can determine the optimal solution to achieve significant efficiency gains.”

Launched in 2019, Mitchell Intelligent Estimating is the industry’s first claims automation solution to feature an open platform and choice of AI providers. In addition to third-party computer vision technologies from Claim Genius, Tractable , and Inspektlabs, Mitchell also offers its own AI engine and supports insurer-developed AI algorithms. After processing policyholder-submitted photos and videos, AI recommendations are returned based on the Vehicle Identification Number (VIN) and Mitchell’s repair data. These recommendations pre-populate individual estimate lines, giving appraisers the option to review the estimate first or leverage straight-through processing to complete it without human intervention for low-severity claims.

“Estimate automation is rapidly becoming a key priority and, with Mitchell and Claim Genius, a key differentiator for our auto insurance customers,” said Raj Pofale, CEO and founder of Claim Genius. “The latest release of our AI technology is trained on millions of global claim estimates and vehicle images, providing even greater support for fast, accurate and efficient claims resolution.”

 

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