Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting
Artificial intelligence (AI) is beginning to reshape actuarial practice, particularly in domains that require reasoning over unstructured documents, heterogeneous data sources, and regulated decision workflows. Actuaries now face a design space that ranges from traditional rule-based automation to large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent ``agentic'' systems that plan, retrieve, call tools, and reflect. This paper examines how these emerging architecture
Record details
Published: 8 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Jobs & economy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (8 July 2026), “Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting,” evidence record 113, https://ethics.ai/record/113 (originally published by arXiv).
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