Authors : Gunjan Kumar

Volume/Issue : Volume 10 - 2025, Issue 9 - September

Google Scholar : https://tinyurl.com/4bwrtve3

Scribd : https://tinyurl.com/3zexf6kb

DOI : https://doi.org/10.38124/ijisrt/25sep616

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Abstract : Financial services are rapidly advancing towards highly autonomous, intelligent, and personalized solutions by integrating agentic AI (Artificial Intelligence) systems. This paper presents a comprehensive architecture and implementation of autonomous agentic AI frameworks, specifically designed for financial services, and built upon a series of Amazon Web Services (AWS) cloud technologies. We propose a scalable and secure architecture for developing intelligent financial assistants that can manage and performing a wide range of multi-step financial tasks, such as personalized financial planning, portfolio rebalancing, and account management, and we review the entire end- to-end workflow to build and deploy such autonomous systems. In particular, this work focuses on how large language models (LLMs) can be orchestrated with backend systems, services such as AWS Lambda, Amazon Bedrock, Agent Core Runtime for orchestration, and Amazon DynamoDB for state management, to enable autonomous financial services. We also address critical concerns related to security, ethical standards, and auditability, which are essential for responsible adoption of these systems in financial institutions. This research aims to bridge technological innovation with customer- centric and regulatory priorities in the finance industry. By doing so, this paper showcases how agentic AI can power next generation financial service delivery to transform customer experience and drive institutional efficiency.

Keywords : Agentic AI, Autonomous Financial Assistants, AWS, Amazon Bedrock, DynamoDB, Conversational AI, Cloud Computing, Financial Services, Ethical AI, Personalized Finance.

References :

1. Somu, B. Transforming Banking Infrastructure Services with Artificial Intelligence, Machine Learning, and Agentic AI: Modernizing Financial Systems in the Age of Automation. Global Pen Press UK PUBLICATION.
2. Rohit, K. (2025). Agentic AI for Secure Financial Data Processing: Real-Time Analytics, Cloud Migration, and Risk Mitigation in AWS-Based Architectures.
3. Somu, B. (2025). The Future of Financial IT: Agentic Artificial Intelligence and Intelligent Infrastructure in Modern Banking. Deep Science Publishing.
4. Somu, B. (2025). The Future of Financial IT: Agentic Artificial Intelligence and Intelligent Infrastructure in Modern Banking. Deep Science Publishing.
5. Joshi, S. (2025). Review of Autonomous and Collaborative Agentic AI and Multi-Agent Systems for Enterprise Applications.
6. Inala, R., & Somu, B. (2024). Agentic AI in Retail Banking: Redefining Customer Service and Financial Decision-Making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1).
7. Pamisetty, A. (2025). Agentic Intelligence and Cloud-Powered Supply Chains: Transforming Wholesale, Banking, and Insurance with Big Data and Artificial Intelligence. Deep Science Publishing.
8. Joshi, S. (2025). A Comprehensive Review of Gen AI Agents: Applications and Frameworks in Finance, Investments and Risk Domains. International Journal of Innovative Science and Research Technology, 1339-1355.
9. Biswas, A., & Talukdar, W. (2025). Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt. Packt Publishing Ltd.
10. Joshi, S. (2025). Comprehensive Review of Artificial General Intelligence AGI and Agentic GenAI: Applications in Business and Finance. Available at SSRN 5250611.
11. Alla, V. S. S., Larrson, A., Sapre, M., & Raghupathi, S. (2025). Scalable Conversational AI Architecture for Financial Services: A Case Study in Mortgage Industry Digital Transformation.
12. Alla, V. S. S., Larrson, A., Sapre, M., & Raghupathi, S. (2025). Scalable Conversational AI Architecture for Financial Services: A Case Study in Mortgage Industry Digital Transformation.
13. Zhang, S., Yadav, D., Jin, T., & Teng, M. (2025). Building analyst-like agents: A self-improving multi-agent framework for financial reasoning in the enterprise.
14. Huang, K. (2025). Agentic AI. Springer. https://doi. org/10.1007/978-3-031-90026-6.
15. Jagannathan, S., Sridhar, S., Gulkotwar, N., Baskar, P., & Tambe, A. (2025). A Roadmap for Agentic AI in Financial Services Industry. Available at SSRN 5392281.
16. Joshi, S. (2025). Advancing innovation in financial stability: A comprehensive review of ai agent frameworks, challenges and applications. World Journal of Advanced Engineering Technology and Sciences, 14(2), 117-126.
17. Motamary, S. (2025). Empowering Retail Oss/Bss Platforms With Agentic Ai And Scalable Data Engineering. Metallurgical and Materials Engineering, 1361-1380.
18. Bandi, A., Kongari, B., Naguru, R., Pasnoor, S., & Vilipala, S. V. (2025). The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges. Future Internet, 17(9), 404.
19. Krishnan, N. (2025). Ai agents: Evolution, architecture, and real-world applications. arXiv preprint arXiv:2503.12687.
20. Joshi, S. (2025). Comprehensive review of Artificial General Intelligence (AGI): Applications in Business and Finance.
21. Wilson, R., & Tyson, J. (2025). Age of Invisible Machines: A Guide to Orchestrating AI Agents and Making Organizations More Self-Driving, Revised and Updated. John Wiley & Sons.
22. Olujimi, P. A., Owolawi, P. A., Mogase, R. C., & Wyk, E. V. (2025). Agentic AI frameworks in SMMEs: A systematic literature review of ecosystemic interconnected agents. AI, 6(6), 123.
23. Eboseremen, B. O., Ogedengbe, A. O., Obuse, E., Oladimeji, O., Ajayi, J. O., Akindemowo, A. O., ... & Ayodeji, D. C. (2022). Developing an AI-Driven Personalization Pipeline for Customer Retention in Investment Platforms.
24. Petrova, T., Bliznioukov, B., Puzikov, A., & State, R. (2025). From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents. arXiv preprint arXiv:2507.10644.
25. Figueiredo, M. (2025). Generative AI with SAP and Amazon Bedrock: Utilizing GenAI with SAP and AWS Business Use Cases. Springer Nature.
26. Ghaffar, A., & Oyeronke, A. (2025). AI Into Business Automation: Practical Frameworks For Streamlining Operations. IRE Transactions on Education, 9.
27. Chinnaraju, A. (2025). AI-powered consumer segmentation and targeting: A theoretical framework for precision marketing by autonomous (Agentic) AI. Int. J. Sci. Res. Arch, 14, 401-424.
28. Ranjan, S., Chembachere, D., & Lobo, L. (2025). Architectural Patterns for LLM Adoption in Agentic AI. In Agentic AI in Enterprise: Harnessing Agentic AI for Business Transformation (pp. 95-150). Berkeley, CA: Apress.
29. Sapkota, R., Roumeliotis, K. I., & Karkee, M. (2025). Vibe coding vs. agentic coding: Fundamentals and practical implications of agentic ai. arXiv preprint arXiv:2505.19443.
30. Hunt, S., Chissell, E., & Mawar, A. (2025). Will 2025 be the year of the agent? A primer for competition practitioners on the next wave of AI innovation. Competition Law & Policy Debate, 9(1), 20-30.