AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and interact with third-party services. This paper develops an AI-native mathematical framework for underwriting, pricing, and contract design for agentic AI deployments. A deployment is represented by a risk state that captures autonomy level, operational authority, permission exposure, governance maturity, and dependency concentration. The framework maps
Record details
Published: 14 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Jobs & economy · Agents & autonomy · Environment
Retrieved: 16 July 2026
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ethics.ai (14 July 2026), “AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation,” evidence record 10609, https://ethics.ai/record/10609 (originally published by arXiv).
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