Ali, Md Musa and Ferdausi, Shaharia and Fatema, Kanis and Mahmud, Md Rakib and Hoque, Md Refadul (2025) Leveraging Artificial Intelligence in finance and virtual visitor oversight: Advancing digital financial assistance via AI-powered technologies. World Journal of Advanced Engineering Technology and Sciences, 15 (3). 039-048. ISSN 2582-8266
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Abstract
The integration of Artificial Intelligence (AI) into financial services and virtual visitor monitoring systems has redefined the delivery of support in increasingly digital environments. This paper explores how AI-driven technologies, such as machine learning algorithms and predictive analytics, can enhance financial assistance, risk management, and user experience in both the finance sector and remote client servicing contexts. By automating credit scoring, fraud detection, virtual customer interaction, and behavioral analysis, institutions can offer more efficient, secure, and personalized support systems [22, 23]. Additionally, AI-enabled visitor monitoring platforms are becoming essential in sectors like telebanking and digital finance advising, ensuring identity verification, compliance, and real-time engagement [3]. This research contributes to a growing body of literature emphasizing the potential of AI in transforming traditional finance and remote interaction models, proposing a hybrid framework to optimize financial aid delivery and client monitoring simultaneously. The study uses recent advancements and case studies to analyze system effectiveness, ethical implications, and future implementation challenges [4, 5].
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.3.0905 |
Uncontrolled Keywords: | Artificial Intelligence (AI); Financial Risk Management; Virtual Visitor Monitoring; Predictive Analytics; Customer Segmentation; Explainable AI (XAI) |
Depositing User: | Editor Engineering Section |
Date Deposited: | 16 Aug 2025 12:42 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/4348 |