Multi-Agent AI Architecture for Regulated Insurers: A generic AI framework under Solvency II and the AI Act in Austria and Germany

Battle Count: 0

While the paper discusses financial regulation and risk management (Solvency II, VaR), it is specifically tailored to the insurance sector's operational and compliance needs rather than high-frequency or algorithmic trading strategies. The optimization models are firm-level strategic, not market-timing.

High complexity due to the need for a custom multi-agent infrastructure, integration of asynchronous protocols (MCP, A2A), strict regulatory compliance layers (Solvency II, AI Act), and human-in-the-loop tiered access controls.

The paper presents a theoretical framework and mathematical formulations but lacks empirical implementation details, code, or specific dataset descriptions. It is a conceptual architecture proposal rather than an experimental study.