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EAGLE: A Multi-Agent Generative AI System for Personalized Banking Recommendation and Risk-Aware Financial Planning

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  • Srivastava, Varad

Abstract

Traditional banking, which relies on relationship managers to provide personalized financial advice, recommend products and assess risk, has been left relatively untouched from potential enhancements of Generative AI. In this work, we propose - EAGLE, a multi-agent system for this task, which automates banking recommendations while incorporating real-time, risk-aware financial planning and augments and enhances operations by cutting down on time taken for research on customer profiles, products, financial plans as well as call handling. Through simulated experiments and novel proposed metrics, we establish robust performance on this task using our framework. Our proposed multi-agent system enhances personalization of products recommendation, enables risk-aware financial planning and asset allocation, as well as establishes a foundation for next-generation banking systems.

Suggested Citation

  • Srivastava, Varad, 2025. "EAGLE: A Multi-Agent Generative AI System for Personalized Banking Recommendation and Risk-Aware Financial Planning," OSF Preprints dwspv_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:dwspv_v1
    DOI: 10.31219/osf.io/dwspv_v1
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    References listed on IDEAS

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    1. Yangyang Yu & Haohang Li & Zhi Chen & Yuechen Jiang & Yang Li & Denghui Zhang & Rong Liu & Jordan W. Suchow & Khaldoun Khashanah, 2023. "FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design," Papers 2311.13743, arXiv.org, revised Dec 2023.
    2. Tianyu Zhou & Pinqiao Wang & Yilin Wu & Hongyang Yang, 2024. "FinRobot: AI Agent for Equity Research and Valuation with Large Language Models," Papers 2411.08804, arXiv.org.
    3. Taejin Park, 2024. "Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework," Papers 2403.19735, arXiv.org.
    4. Yichen Luo & Yebo Feng & Jiahua Xu & Paolo Tasca & Yang Liu, 2025. "LLM-Powered Multi-Agent System for Automated Crypto Portfolio Management," Papers 2501.00826, arXiv.org, revised Jan 2025.
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