Touchless Auto Claims: One Year On - Insurance Thought Leadership

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November 14, 2021

Touchless Auto Claims: One Year On

Summary:

How is a claims process that normally takes weeks now happening in seconds? And how is this already having an impact on thousands of people?

Photo Courtesy of Pexels

Just a bit more than a year ago, a driver made a phone call to their insurance company — and made history.

How? Well, the insurance claim that followed was the first-ever completely touchless claim — in that it was entirely carried out by a trained artificial intelligence (AI). The AI received pictures of the claim from the driver, assessed the damage, created a line-by-line estimate of what it would cost to repair and sent the claim back.

Total time to process: 15 seconds. Humans involved (apart from the driver)? Zero.

If you’ve ever made a conventional insurance claim, this sounds unbelievable. The process can be long and unpleasant, with far too many hold-ups (as you wait for someone to look at your car) and data collection loops (as the repairer and insurer agree on what exactly should happen to it, and when).

So how is a process that normally takes weeks now happening in seconds? And how is this already having an impact on thousands of people, around the world — and why don’t more of them know about it?

One vision

How a computer can “see” what’s in an image is known, naturally enough, as “computer vision.” In 2014, this technology was at a tipping point. Advances in computing and processing power meant that we were finally able to train an AI to understand what’s in an image, like a human would. That meant you could, in theory, accelerate any task that relied on visual assessments — like facial recognition, or detecting cancer in medical images.

At my company, Tractable, we applied this technology in an unusual way — to help people recover from accidents and disasters. We started with cars, mainly because cars are similar globally (making the training easier), because they get damaged all the time and because the first thing that happens when they get damaged is that a driver or a body shop takes lots of photos — which is what we needed to train the AI.

By 2019, we’d worked with some of the world’s leading insurers to prove that our technology could make them more efficient, applying our AI to enable them to check whether their repairs and claims had been carried out safely and correctly.

But we wanted to have a bigger impact. So, working with companies like global insurer Ageas, we sought to apply our technology at first notice of loss (FNOL) — when a driver first calls to report a claim.

This was difficult, to say the least. It’s one thing for an AI to analyze a perfectly taken photo of one dent to one panel, another for it to assess a collection of grainy pictures of a well-worn station wagon with multiple impacts, taken at night with low lighting. And for the technology to be useful, it had to provide a return almost immediately — perhaps, even, on that initial phone call.

It was a huge technological challenge — but, driven forward by some of the world’s leading AI researchers, one we were able to meet. By 2019, our AI was providing line-by-line estimates of damage at FNOL. (You can see us talking about this here with Ageas, at the DIA conference in Amsterdam.)

See also: Getting to ‘Amazon-Like’ Auto Claims

Taking the human out of the loop

At this point, the AI was accelerating most of the process — but, quite sensibly, the insurance carrier had a human involved to ensure quality control and provide support.

We wanted to know if we could take the obvious next step and make some of these claims touchless — i.e., driven entirely by AI. That way, you free up your appraisers’ and claims handlers’ time, directing them to cases where they can make an impact and use their expertise effectively, instead of expending effort on claims that could be easily resolved with technology.

So, last October we convinced an insurer to take the plunge and let our technology finish a claim on its own — and since then we haven’t looked back. Our AI has now carried out tens of thousands of touchless claims worldwide. It is generating estimates for major insurers in the U.S., Japan, the U.K., Spain and Italy, to name a few. You can see Admiral talk about the impact on their Spanish unit and operations here. (Check out the killer quote at 12:54.)

It’s no exaggeration to say AI has made an impact for millions of households worldwide and helped return vehicles to their drivers far quicker than previously possible.

Trust in the machine

So why isn’t the impact of our technology more widely recognized?

Perhaps the answer is that people just don’t realize what’s happening behind the scenes. After all, if you’re a policyholder, you have no idea that an AI has just assessed your damage — you’re only aware that your claim has been completed in record time, and you’re now able to carry on with your life.

Since October 2020, Tractable’s touchless claims have been live across the world, making the insurance process more efficient, helping body shops carry out more repairs and processing claims and returning vehicles to drivers far more quickly than was possible before.

The challenge for us? The introduction has been so seamless and smooth, they haven’t noticed.

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About the Author

James Spears is head of automotive at Tractable. He supports the North America leadership in driving adoption of Tractable’s AI products.

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