mlsanityData to 14 Oct 2026

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa

arXiv 2508.15110 ↗First posted 20 Aug 2025cs.CE cs.CL cs.ETcited by 0

On the map: LLM agents and tool use → Financial trading and forecasting agents

Abstract (arXiv)

In this work, we highlight the transformative potential of Artificial Intelligence (AI), particularly Large Language Models (LLMs) and agentic AI, in the insurance sector. We consider and emphasize the unique opportunities, challenges, and potential pathways in insurance amid rapid performance improvements, increased open-source access, decreasing deployment costs, and the complexity of LLM or agentic AI frameworks. To bring it closer to home, we identify critical gaps in the African insurance market and highlight key local efforts, players, and partnership opportunities. Finally, we call upon actuaries, insurers, regulators, and tech leaders to a collaborative effort aimed at creating inclusive, sustainable, and equitable AI strategies and solutions: by and for Africans.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Financial trading and forecasting agents, one of 16 directions in LLM agents and tool use. Builds on 31 of its 91 references that are in the map. First posted on arXiv 20 Aug 2025.

Builds on

31 of 91 references.

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