One of the UK’s insurers is employing artificial intelligence to create end-to-end assessments and estimates of vehicle damage.
Ageas is using an AI solution, developed by technology company Tractable, to support some of the complex tasks that a human assessor would normally carry out when evaluating vehicle damage. For example, the AI identifies which parts of the vehicle have been affected and to what extent, and generates a full estimate including recommended repair, paint, and blend operations, as well as costs and labour hours.
The AI also rapidly accelerates how quickly those tasks are completed. As a result, by submitting photos as they report an accident by simply using a smartphone, policyholders can receive decisions on the next steps from Ageas within minutes – even while they are on their initial phone call to the insurer.
After successful UK trials in 2019, Ageas and Tractable will now scale the use of the technology to resolve thousands of claims every month.
Tractable’s AI uses deep learning for computer vision, along with machine learning techniques. The AI is trained on many millions of photos of car damage, and the algorithms learn from experience by analysing a large variety of different examples.
The AI allows insurers to evaluate the damage to a vehicle, based on photos provided by repairers, appraisers or policyholders. Via a platform, Tractable’s AI shares damage estimates and guides the claim process to ensure each claim is processed and settled as quickly as possible.
Tractable’s AI has processed over $1 billion in auto claims for the world’s top insurers, including Covéa, the largest auto insurer in the French market, Tokio Marine, the largest insurer in Japan, and Talanx-Warta, the second-largest auto insurer in Poland.