Embracing artificial intelligence in insurance is a race, but one that experts describe as a race to the starting rather than the finish line.
“I think this is sort of a race to the starting line,” said Indico Data CEO Tom Wilde. “Getting your data in order so that AI can take advantage of it is going to prove to be one of the keys to compete into the next decade.”
Indeed, agentic and generative AI capabilities are still in their early days in insurance, but Wilde said he sees these technologies transforming the decision process in ways that seemed previously impossible.
“I think of insurance as sort of driven by decisioning: Should I underwrite this risk? How do I adjudicate this claim?” he said. “We kind of describe this as the dawn of the decision era where the combination of the rise of cloud computing and data investments and now AI really creates an unprecedented opportunity to drive high-performance decisioning across the enterprise—especially the insurance enterprise.”
Wilde said this comes as carriers are recognizing that they’ve been relying on individual expertise for decades, and this reliance can only take them so far.
“I absolutely have heard and seen [carriers] moving from this period of individual expertise to institutional expertise,” he said. “And AI really allows us to ring that out and make sure that decision capability is done repeatedly with transparency. So, I think that’s a huge opportunity.”
He added that for the first time in insurance, an endpoint can be created out of an unstructured data source to save time and create efficiency.
“We can take a 25-page underwriting guideline document and almost make it a programmatic endpoint where we can query it. We can make it part of a workflow,” he said. “Whereas previously, everything would grind to a halt while somebody had to open it and read it and figure out how to apply what was in that document to whatever process it was part of.”
While AI is reshaping many functions in insurance from underwriting to claims, humans shouldn’t be completely left out of the loop. Michael Parcelli, senior vice president at Xceedance, said integrating AI effectively requires a careful balance between automation and human oversight.
“It’s not going to replace humans wholesale. There’s still going to be an exception management trail there, and you still want an auditor and some oversight. So, I think that you’ll still have a balance,” he said. “But whereas you may have done 80 percent of the work in the past, and maybe 20 percent of the oversight and auditing, you can spend 20 percent on your work and then leave that 80 percent for the tools and enabling technologies to pick that up.”