Asirom uses Solera’s Artificial Intelligence for the risk inspection of motor policies
Asirom VIG has improved the validation flow of risk inspections related to
Currently, Asirom customers can perform their own risk inspection for
The photographs used to generate the inspection report are analyzed using Solera's Intelligent Damage Detection, part of the company's Qapter® solution, an industry leading end-to-end AI powered claims platform. Qapter Intelligent Damage Detection uses Solera's Visual Intelligence technology to detect and document pre-existing damages at policy inception. This evidence is used to improve risk scoring at underwriting and ensure only new damages are estimated in a potential accident claim.
The new flow developed for
"Usage of artificial intelligence represents a step forward for the insurance market in
The use of AI in the detection and assessment of damage is a tool that Asirom aims to include soon in the process of investigating claims, thus ensuring full transparency for the customer, and reducing the time to process claims. In addition, damage inspectors will have a virtual assistant to assist them in assessing damage and proposing appropriate technological solutions.
"Damage estimating assisted by AI is undoubtedly a true game-changer for the motor insurance industry. High volume, repetitive tasks such as physical inspections, photo taking and reporting will be executed more efficiently thanks to digital technologies like Visual Intelligence. By integrating this technology into Asirom's risk inspection process, we can support its objective to enhance speed and accuracy across its validation flows and improve customer experiences," comments
The platform is in a continuous development process, aiming both to increase the user experience in the application, as well as to improve the performance of the fault identification algorithm and to propose technological solutions. In order to have high quality photos to detect damage with great precision through AI, Solera's Guided Image Capture application will guide the client in the process of collecting photos, by generating a mask with the shape of the body specific to the insured vehicle, properly oriented.
The widespread use of the application generates an increase in the number of cases investigated, leading to an increase in the performance of the solution based on Solera Visual Intelligence technology. The accuracy of the fault identification process will improve as the application is used and, as a result, it will be possible to automatically generate the repair estimate in case of damage, which will lead to a high degree of digitization of the damage instrumentation process.
About
Asirom VIG is one of the most important insurance companies on the market, with 30 years of experience in
Asirom is part of the Vienna Insurance Group (VIG), a company with over 200 years of experience in the financial field and leader in the insurance market, both in
For more information, please visit www.asirom.ro
About Solera
Solera is a global leader in risk and asset management data and software solutions, empowering companies across the automotive and insurance ecosystem with trusted solutions that adhere to the highest standards of data privacy, security and integrity to support connectivity across the vehicle value chain. Solera's solutions bring together customers, insurers and suppliers, empowering smarter decision-making through service, software, enriched data, proprietary algorithms and machine learning that come together to deliver insight and ensure customers' vehicles and property are optimally maintained and expertly repaired. The company is active in over 90 countries across six continents, processing more than 300 million digital transactions annually for over 235,000 customers and partners. By drawing on the market-leading solution capabilities and business process best practices from its technologies around the world, Solera provides unsurpassed scale and strength with superior performance while delivering innovation to move the industry forward.
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