Customer Perception of AI-Based Banking Services: Study on SBI

Main Article Content

Dr. Jayaprasad D.
Dr. M. Kumaraswamy

Abstract

This study examines the customer perception of Artificial Intelligence (AI)-based banking services with special reference to the State Bank of India (SBI). With the rapid advancement of digital technologies, AI has become an integral part of banking operations, enhancing efficiency, security, and customer experience through tools such as chatbots, mobile banking applications, and automated services. The primary objective of the study is to analyze the level of customer awareness, usage, and perception of AI-driven services such as YONO SBI and chatbot assistance. The study is based on primary data collected through a structured questionnaire from SBI customers using a convenience sampling method. Statistical tools such as percentage analysis and chi-square tests are used for data interpretation. The findings indicate that a majority of customers have a positive perception of AI-based banking services due to their convenience, speed, and accessibility. However, concerns regarding data security, privacy, and lack of digital literacy among certain groups still exist. The study concludes that while AI significantly enhances customer satisfaction and banking efficiency, banks need to focus on improving trust, awareness, and user-friendliness to ensure wider adoption. 

Article Details

Section

Research Articles

Author Biographies

Dr. Jayaprasad D.

Assistant Professor, Shri G. R. Gandhi Arts, Shri Y. A. Patil Commerce and Shri M. P. Doshi Science Degree College, Indi, Vijayapura.

Dr. M. Kumaraswamy

Professor, Department of Studies in Commerce, Hemagangothri, Hassan University, Hassan.

How to Cite

Jayaprasad D., & M. Kumaraswamy. (2026). Customer Perception of AI-Based Banking Services: Study on SBI . ಅಕ್ಷರಸೂರ್ಯ (AKSHARASURYA), 15(02), 90 to 99. https://aksharasurya.com/index.php/latest/article/view/2002

References

Reserve Bank of India. (2023). Report on trend and progress of banking in India. https://www.aura.com/learn/how-to-find-out-if-my-information-is-on-the-dark-web

State Bank of India. (2023). Annual report. https://onlinesbi.sbi.bank.in/

McKinsey & Company. (2022). The future of AI in banking.

Accenture. (2021). AI in banking: Transforming customer experience.

Deloitte. (2022). AI and banking industry insights.

IBM. (2020). AI in banking: Customer experience and trust.

Kumar, V., & Gupta, S. (2021). Impact of artificial intelligence on customer satisfaction in banking sector. International Journal of Research in Finance and Marketing, 11(3), 45–52.

Sharma, R., & Singh, A. (2020). Customer perception towards digital banking services in India. Journal of Banking and Finance, 9(2), 12–20.

Verma, P. (2022). Role of artificial intelligence in banking sector. International Journal of Advanced Research, 10(5), 100–105.

Patel, K. (2021). Adoption of AI-based services in Indian banking. Journal of Commerce and Management, 8(1), 30–38.

Fares, O. H. (2022). Utilization of artificial intelligence in the banking sector. https://pmc.ncbi.nlm.nih.gov/articles/PMC9366789/

Pluskota, P. (2026). Application of artificial intelligence in banking. Sustainability, 18(2), 732. https://doi.org/10.3390/su18020732

https://www.researchgate.net/publication/380119377_Artificial_Intelligence_in_Banking_and_Finance

Polireddi, N. S. (2024). Role of AI and machine learning in banking. https://www.sciencedirect.com/science/article/pii/S2665917424001119

https://upcommons.upc.edu/bitstreams/4fb76a13-1215-425b-bd18-617ff1dfdccf/download