Role of AI-Driven Content in Reducing Operational Cost of Financial Institutions

The increase in integration of artificial intelligence (AI) into financial services has introduced new areas for customer interaction management. Banking and fintech institutions increasingly making use of AI-powered systems—including virtual assistants, intelligent chatbots, and automated notification frameworks—to process high volumes of routine customer inquiries at scale. This study empirically examines how such AI-driven communication systems influence perceptions of operational cost efficiency among active users of digital financial platforms. A structured survey was collected from 46 participants who regularly engage with mobile banking, digital payment, or fintech applications. The instrument assessed three core dimensions: user awareness of AI-enabled features, direct interaction experiences with those features, and perceived utility of AI systems in streamlining service delivery. Results indicate that 95.6% of respondents acknowledged the presence of AI features in their financial applications, 80.4% reported direct interaction with AI-driven tools, and 71.8% expressed the belief that AI adoption contributes to reduced operational costs in financial institutions. These results suggest that user acceptance of AI-driven communication tools is sufficiently established to yield meaningful operational efficiencies, particularly within younger, digitally engaged demographics.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-16
DOI
https://doi.org/10.64388/irev9i9-1715178
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of AI-Driven Content in Reducing Operational Cost of Financial Institutions

Hitesh Kesarwani, Soumya Mishra
Iconic Research and Engineering Journals
AI in Service Interactions
article

Role of AI-Driven Content in Reducing Operational Cost of Financial Institutions

Hitesh Kesarwani, Soumya Mishra
article en

Abstract

The increase in integration of artificial intelligence (AI) into financial services has introduced new areas for customer interaction management. Banking and fintech institutions increasingly making use of AI-powered systems—including virtual assistants, intelligent chatbots, and automated notification frameworks—to process high volumes of routine customer inquiries at scale. This study empirically examines how such AI-driven communication systems influence perceptions of operational cost efficiency among active users of digital financial platforms. A structured survey was collected from 46 participants who regularly engage with mobile banking, digital payment, or fintech applications. The instrument assessed three core dimensions: user awareness of AI-enabled features, direct interaction experiences with those features, and perceived utility of AI systems in streamlining service delivery. Results indicate that 95.6% of respondents acknowledged the presence of AI features in their financial applications, 80.4% reported direct interaction with AI-driven tools, and 71.8% expressed the belief that AI adoption contributes to reduced operational costs in financial institutions. These results suggest that user acceptance of AI-driven communication tools is sufficiently established to yield meaningful operational efficiencies, particularly within younger, digitally engaged demographics.

Iconic Research and Engineering JournalsVol. 9(9)
Openalex Percentile: Top 22%
AI in Service Interactions
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