A comparative study on the effect of use of Artificial Intelligence supported services by the customers of banks

  Banks should increase customer awareness regarding advanced AI applications such as robo-advisors and machine learning-based financial services through educational campaigns and demonstrations.   Financial institutions should continue investing in AI-powered fraud detection and cybersecurity systems to strengthen customer trust and confidence.   Banks should focus on improving the personalization of AI services by using customer data responsibly to provide customized financial recommendations and solutions.   Regular training programs should be conducted to help customers effectively utilize AI-enabled banking services and digital platforms.   Public sector banks should accelerate the adoption of AI technologies to match the service quality and innovation levels of private sector banks.   Banks should maintain a balance between AI-driven automation and human interaction, especially for complex financial issues where customers prefer personal assistance.   Continuous monitoring and upgrading of AI systems should be undertaken to ensure accuracy, transparency, and fairness in decision-making processes.   Future AI initiatives should focus on enhancing accessibility across multiple banking channels, including mobile applications, websites, ATMs, and customer support platforms.   Banks should collect regular customer feedback regarding AI services and use the insights to improve service quality and customer satisfaction.

 Shaikh, A. A., Kumar, R., Mishra, A., & Elahi, M. (2024). Customer satisfaction in using banking services through artificial intelligence (AI) in India. International Journal of Banking and Finance, 12(2), 45–60. Barla, S., & Reddy, P. K. (2025). Customer perception and satisfaction towards artificial intelligence in banking services. IUP Journal of Accounting Research & Audit Practices, 24(3), 601–612. Hussain, M., Vemaraju, S., & Garg, R. (2025). Impact of artificial intelligence on customer satisfaction and loyalty in digital banking. International Journal of Innovative Research in Social Sciences, 8(1), 112–125. Noreen, U., Shafique, M. N., Ahmed, Z., & Ashfaq, M. (2023). Role of artificial intelligence in banking 4.0: A consumer perspective. Sustainability, 15(4), 3682. https://doi.org/10.3390/su15043682 Garg, R. (2024). A systematic literature review on artificial intelligence technology in banking. Journal of Management Information and Decision Sciences, 27(1), 1–12. Mahmud, M. S. (2025). Artificial intelligence vs. human interaction in retail banking: A pilot study. Journal of Information Systems and Management, 10(2), 55–70. Ashrafuzzaman, M., Parveen, S., Sumiya, T., & Rahman, M. (2024). AI-powered personalization in digital banking: Enhancing customer engagement. Asian Journal of Information Systems, 5(1), 22–35. Singh, A., & Sharma, V. (2022). Customer-facing artificial intelligence in financial services: A systematic literature review. Journal of Financial Services Marketing, 27(3), 145–160. Gerling, M., & Lessmann, S. (2024). Artificial intelligence and natural language processing in banking marketing: A systematic review. arXiv Preprint. https://arxiv.org/abs/2411.14463 George, A., Alam, M., & Hasan, S. (2025). Machine learning approaches for fraud detection in digital banking: A systematic review. arXiv Preprint. https://arxiv.org/abs/2510.05167