Doug, Mbaya and Megha, Kumsi and Janeth, Graziani (2025) Building a Centralized AI Compliance Platform: Integrating LangChain, Amazon Bedrock, and Knowledge Graphs to Enable Transparent and Auditable Decision-Making in BFSI. International Journal of Informatics and Data Science Research, 2 (9). pp. 32-47. ISSN 2997-3961

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Abstract

The growing complexity of regulatory compliance in the BFSI sector has highlighted the need for transparent, auditable, and AI-driven decision-making platforms. Traditional compliance workflows are often fragmented across multiple systems, resulting in inefficiencies, inconsistent enforcement, and challenges in regulatory reporting. This article proposes the design of a centralized AI compliance platform that integrates LangChain for intelligent agent orchestration, Amazon Bedrock for scalable foundation model deployment, and knowledge graphs for structured reasoning and traceability.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	18 Sep 2025 08:21
Last Modified:	18 Sep 2025 08:21
URI:	http://eprints.umsida.ac.id/id/eprint/16357

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