In the Media

Agentic AI co-workers can improve the premium audit process for commercial insurers (by staying abreast of regulatory requirements and standardizing responses in consistent formats) and policyholders (by eliminating unnecessary questions), says NeuralMetrics CUO Chris Schrenk.

NeuralMetrics CTO Sathish Manimuthu explains how Agentic AI, or autonomous, role-based AI assistants, can learn and adapt to reliably execute complex insurance tasks and collaborate on intricate workflows — such as commercial underwriting and premium audits.

As generative AI advances in 2025, NeuralMetrics CEO Prakash Vasant foresees commercial insurers and MGAs will increasingly deploy agentic AI to reliably execute complex tasks — enabling productivity and cost efficiencies across underwriting activities and related operations.

NeuralMetrics CTO Sathish Manimuthu outlines four ways generative AI will elevate commercial insurance application submissions and policy lifecycle management within the agency distribution channel.

Marcus Daley, NeuralMetrics technical co-founder, explores the transformative impact of autonomous AI assistants in insurance, highlighting how these advanced, cognitive AI co-workers enhance efficiency and empower underwriters to improve risk assessment and policyholder engagement.

According to NeuralMetrics CEO Prakash Vasant, AI assistants can boost the efficiency and accuracy of commercial underwriting teams. They can ingest underwriting guidelines and diverse data inputs to manage tasks such as risk appetite determination and exposure analysis.

In a Target Markets InfoSeries session, NeuralMetrics technical co-founder Marcus Daley talks about the impact of gen AI and role-based AI assistants on the underwriting processes of commercial program administrators and MGAs.

PropertyCasualty360 Insurance Luminary honorees cast aside dated industry stereotypes and push for innovation and fresh thinking around the most impactful issues of our time.

Chris Schrenk, NeuralMetrics chief underwriting officer, discusses how integrating AI technologies requires a shift in operational philosophy and some IT updates to optimize the value of generative AI.