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This paper develops an AI-native framework for underwriting, pricing, and contract design for agentic AI deployments, representing each deployment by a risk state and formulating a contract-design problem over premiums, deductibles, and governance obligations.
A new report on AI underwriting, covered by the Financial Times, highlights insurance as an important tool for AI governance, creating market demand for incident data, standards, audits, monitoring, and response services.
This paper explores the use of agentic AI and retrieval-augmented models for straight-through underwriting, comparing single-LLM, naive RAG, and multi-agent RAG pipelines in a synthetic BOP underwriting environment.
This article explores the challenges of underwriting autonomous AI agents as new economic actors, using examples like a retail store run by an AI and an agent that incorporated itself, arguing that traditional credit analysis frameworks fail when borrowers are not human.
SecureLend Agents is a new product launching AI-driven underwriting agents designed for venture capitalists, lenders, and insurers to automate risk assessment.