"You need to think of it [AI] like how you would train an intern," said Sathish Kumar Manimuthu, chief technology officer at NeuralMetrics. "Start small, teach it and then expand it into various complex workflows in the organization." (Credit: peshkova/Adobe Stock)

Many underwriters have large workloads that require long hours and limited access to the data they need to make a decision quickly. Autonomous AI agents are here to help ease the burden on underwriters by performing menial tasks the same way an underwriter would so they can focus on more complex assessments.

AI agents act as assistants for underwriters and other insurance professionals and are intelligent entities that learn to make decisions and execute actions without direct human involvement. The technology can complete various tasks that could revolutionize the underwriting workflow, from generating accurate responses for risk quality questions to analyzing a customer's claims history and business information. These AI agents can monitor a client's activities and ultimately make a calculated recommendation of whether to accept or decline an applicant.

"The time it takes from a request to come in, to a quote getting insured is massively reduced [with autonomous AI agents]," said Sathish Kumar Manimuthu, chief technology officer at NeuralMetrics, creators of an AI-powered data platform that offers actionable risk assessments for P&C carriers, brokers and agents.