Insurtechs have a major opportunity to address the industry's lack of data transparency, according to Ashwin Agarwal. "Whoever builds that trusted, transparent pricing layer first sets the terms for the entire industry."

Agencies rarely struggle because they don't use the right technology. They struggle because technology decisions become disconnected from the operational problems they are trying to solve.

Insurtech service providers recommend human review and information sourcing checks as ways to prevent inconsistent claims and underwriting model output.

The insurtech builds secure, compliant AI infrastructure for regulated industries including banking, credit unions, healthcare and insurance.

Entrepreneurs report a high level of trust when using an AI chatbot or search tool to look up options related to business insurance, according to an ERGO NEXT survey.

When multiple data sources disagree, AI can be a "tie breaker" to correct discrepancies in property information, according to insurance data experts.

When AI can make false evidence look real, insurers can struggle to know who to trust, writes Tom Rasmussen, vice president of product for claims at Carpe.