The insurance industry has long embraced various forms of
"Insurers have been using forms of AI in their business for several years now. They've been using models in claims to support fraud detection. They've been using models in pricing and they've been using models in marketing," said Chris Raimondo, EY Americas insurance technology leader. "I think where the inflection point came is the introduction of
Some insurance companies are testing traditional forms of AI.
At Builders Insurance, "we're about a year and a half into our journey with AI... But we really wanted to dip our toe into AI and see what to do," said Kenneth Bunn, vice president of claims, who spoke at a recent webinar hosted by Gradient AI. "So we looked at several different areas, such as first notice of loss, direct assignment, and optical character recognition in document processing, and we're excited about the opportunities for straight-through processing. When we really stepped back and looked at what we were going to be able to do in the quickest amount of time most efficiently, we landed on a risk-ranking model, as well as a reserve adequacy model, for work comp."
"This has really allowed us to focus appropriate teams and claim handling protocols, depending on the level of risk," said Ann Latimer, Signal Mutual's senior vice president, head of claims operations. "We're also starting to use it to assist in setting reserves, but especially in the question of when there's a large discrepancy between the adjusters' view of the reserve and the model's view of the reserve."
As executives embrace the potential of generative AI, they are also mindful of the data challenges that come with its implementation.
"This technology is completely dependent on
Raimondo said the introduction of AI technologies into the claims process adds an additional layer of complexity from a regulatory standpoint.
"It's a highly regulated industry," Raimondo said. "The regulation is fragmented as well, because it is state-based through departments of insurance. There's some hesitation to get too far ahead of the curve, because of the regulatory nature of the industry and the potential for bias and reputational risk that they don't want to introduce into their companies. So that's why a human being involved throughout this is very critical in the early days of utilizing the tech."
"We've been using AI within claims for 15 years. We have an entire suite of machine learning models that are used all across the claim handling process that help with triage and assignment, fraud and identification and early severity detection," said Erik Roen, senior vice president and CIO of claim technology and claim business intelligence and analytics at Travelers.
Roen also highlighted Travelers' Responsible Artificial Intelligence Framework, which serves as part of Travelers' governance framework.
The company tries to follow three basic rules or laws, he said.
"First and foremost, we want to make sure we pay what we owe on every single claim to fulfill that promise," Roen said. "Second, we want to provide a great experience to that customer, that claimant. And then the third law is that we want to make sure we handle it as efficiently as possible, internally, as long as we don't make that experience worse for the customer and we're not not paying what we owe. Those three laws, in that order, really are what guide us in everything that we do, and how we're changing the claim process, whether we use AI or generative AI or not."
In the future, Raimondo predicts that generative AI will become an even more powerful tool in use cases beyond customer-centric roles.
"Think about all the different knowledge workers in an insurance carrier that are specialized," he said. "You have underwriters, claims adjusters, actuaries... and I think that's where you're going to see that CoPilot or co-bot introduction, where instead of having human assistants pulling together volumes of data, these knowledge workers are going to use