Year: 2025
Type: article
Abstract: The integration of artificial intelligence (AI) into financial services has transformed the way institutions manage data, interact with customers, and mitigate risks.This journal paper examines a financial intelligence platform developed through the referenced repository, designed to streamline financial processes using AI and machine learning (ML).The platform leverages algorithms such as logistic regression, natural language processing (NLP), and row-level security for sensitive financial data.Supported by frontend technologies such as Next.js,Tailwind CSS, and Clerk for secure authentication, the system offers both scalability and adaptability in digital banking environments.Drawing insights from recent studies, including the World Economic Forum's Artificial Intelligence in Financial Services (2025), Gyau et al.'s Transforming Banking (2024), and Ridzuan et al.'s AI in the Financial Sector (2024), this paper situates the repository within a broader academic and industry context.Key findings highlight the transformative impact of AI in financial performance improvement, fraud detection, and customer experience personalization.However, challenges such as algorithmic bias, regulatory compliance, and data governance remain significant.This work contributes to the discourse on AI-driven finance by presenting the repository as a case study of practical innovation while identifying future directions for integrating generative AI, blockchain, and regulatory-aligned compliance mechanisms.
Language: English
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4414416959
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