Covéa is to deploy Tractable’s AI to speed up the processing of policyholders’ claims across its MAAF, MMA and GMF brands in France.

The technology uses computer vision technology to understand in real-time photos of car damage taken by bodyshops, and to make sense of the impact as a human would. It then shares repair method recommendations and guides the process to ensure each claim is processed and settled as quickly as possible.

Bruno Lacoste Badie, expertise and indemnity solutions director at Covéa, said: “Using AI to accelerate claims assessment is a step change for policyholders of the MAAF, MMA and GMA brands, and for our repair service providers. In addition to making claims handling more efficient, Tractable’s AI will allow all stakeholders to make better, more accurate decisions that benefit everyone.”

Adrien Cohen, president of Tractable, said: “This collaboration means our technology will be making a positive, tangible difference to every part of the French auto repair sector. With our AI, a repairer won’t have to wait on approvals from an assessor in person, but can move a repair on immediately - giving them more autonomy, helping them to work on more vehicles, and ensuring expertise is directed to complex claims. The aim is to get the insured back on the road, as quickly as possible.”

Tractable’s AI uses deep learning, along with machine learning techniques. Its AI is trained on many millions of photos of car damage, and the algorithms learn from experience by analysing a large variety of examples.


Image courtesy Tractable

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