Mitchell Releases Artificial Intelligence-Enabled Claim Review Solution

The solution improves the collision claim estimate review process using visual computing and machine-learning technology to analyze photos and help identify incorrect replace or repair decisions.

(Image source: Mitchell.)

Mitchell International (San Diego), a provider of technology, connectivity and information solutions to the property/casualty claims and collision repair industries, has launched Mitchell WorkCenter Assisted Review, which the vendor claims is the first integrated workflow solution to leverage artificial intelligence for the estimate review process. By using visual computing to analyze photos, the solution uses machine-learning technology to help identify incorrect replace or repair decisions, helping insurance companies review more estimates in less time while refining estimating guidelines and consistency, according to Mitchell.

Debbie Day, EVP and general manager, Auto Physical Damage, Mitchell International.

“Mitchell is extremely proud to announce the availability of Mitchell WorkCenter Assisted Review,” comments Debbie Day, Executive VP and General Manager, Mitchell Auto Physical Damage Solutions. “We are committed to helping our customers increase efficiencies and reduce costs.  In less than a year after we first announced our assisted review project with Tractable, Ltd., we have developed an integrated artificial intelligence solution that will help to save thousands of hours of review time while leading to more accurate and consistent estimates.”

A Mitchell statement explains that by reviewing millions of damaged vehicle photos, computers are trained to recognize vehicle damage and use computer vision to double-check repair vs. replace decisions. Mitchell WorkCenter Assisted Review uses this technology to quickly identify estimates that are potentially inaccurate, allowing carriers to more easily maintain estimate quality and consistency, be more selective about sending appraisers into the field, and improve cycle times and productivity.

Substantially Reducing Time for Claim Audit and Review

“Early pilot tests demonstrated that A.I.-identified claims consistently reduced the amount of time for the audit and review function per claim by a substantial margin,” Olivier Baudoux, Vice President, Product Management and Strategy for Mitchell Auto Physical Damage Solutions. “WorkCenter Assisted Review is designed to provide insurers with a more targeted and efficient review of all claims.”

The vendor describes the way Mitchell WorkCenter Assisted Review helps insurers as follows:

  • Increase the volume and accuracy of claims review with little to no increase to review resources;
  • Improve claims outcomes by improving workflow, accuracy and cycle times;
  • Increase operational efficiency by improving and maintaining review accuracy even as claims volume increases;
  • Instill confidence in estimating with Artificial Intelligence technology with increasing consistency over time;
  • Better inform estimating rules with analytics gained from consistent estimate reviews; and
  • Save Reviewer time by identifying potential repair or replace errors.

Mitchell WorkCenter Assisted Review is available for implementation for Mitchell WorkCenter claims management solution customers in North America, according to the vendor.

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Anthony R. O’Donnell // Anthony O'Donnell is Executive Editor of Insurance Innovation Reporter. For nearly two decades, he has been an observer and commentator on the use of information technology in the insurance industry, following industry trends and writing about the use of IT across all sectors of the insurance industry. He can be reached at [email protected] or (503) 936-2803.

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