• Computer Science > Artificial Intelligence [Submitted on 21 Jan 2026] Title:Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique View PDF HTML (experimental)Abstract:Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to assess risk and determine policy pricing. • While AI offers substantial efficiency improvements, existing solutions lack comprehensive reasoning capabilities and internal mechanisms to ensure reliability within regulated, high-stakes environments. • Full automation remains impractical and inadvisable in scenarios where human judgment and accountability are critical. • This study presents a decision-negative, human-in-the-loop agentic system that incorporates an adversarial self-critique mechanism as a bounded safety architecture for regulated underwriting workflows. • Within this system, a critic agent challenges the primary agent’s conclusions prior to submitting recommendations to human reviewers. • This internal system of checks and balances addresses a critical gap in AI safety for regulated workflows.

Article Summaries:

  • Computer Science > Artificial Intelligence [Submitted on 21 Jan 2026] Title:Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique View PDF HTML (experimental)Abstract:Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to assess risk and determine policy pricing. While AI offers substantial efficiency improvements, existing solutions lack comprehensive reasoning capabilities and internal mechanisms to ensure reliability within regulated, high-stakes environments. Full automation remains impractical and

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