Artificial Intelligence (AI)-Based Digital Payment Systems in India:Opportunities, Challenges, and Future Prospects

Sachin Awasthi; Prity Deshbhrtar

doi:10.69968/ijisem.2026v5i3447-460

Authors

Sachin Awasthi Assistant Professor, Department of Economics, SAM Global University Bhopal
Prity Deshbhrtar Research Scholar, Department of Economics, SAM Global University Bhopal

DOI:

https://doi.org/10.69968/ijisem.2026v5i3447-460

Keywords:

Artificial Intelligence (AI), Digital Payment Systems, FinTech, UPI, Fraud Detection, Cyber Security, Financial Inclusion, Risk Management

Abstract

Artificial Intelligence (AI) is rapidly transforming India's digital payment ecosystem by improving transaction security, operational efficiency, customer experience, and financial inclusion. The increasing adoption of AI-enabled technologies in digital payment platforms has enhanced fraud detection, risk management, personalized services, and decision-making. This study examines the opportunities, challenges, and future prospects of AI-based digital payment systems in India through a descriptive and analytical review of secondary data collected from peer-reviewed journals, RBI and NPCI reports, government publications, and other reliable sources. The findings indicate that AI has significantly improved the efficiency and security of digital payment systems. However, issues such as data privacy, cybersecurity, regulatory compliance, ethical concerns, and digital literacy continue to challenge its widespread adoption. The study concludes that AI can play a vital role in the future of India's digital payment ecosystem, provided its implementation is supported by effective governance, responsible AI practices, and a strong regulatory framework.

References

[1] Moharrak, M., & Mogaji, E. (2025). Generative AI in banking: empirical insights on integration, challenges and opportunities in a regulated industry. International Journal of Bank Marketing, 43(4), 871-896.

[2] J. Nair, A., Manohar, S., & Mittal, A. (2025). AI-enabled FinTech for innovative sustainability: promoting organizational sustainability practices in digital accounting and finance. International Journal of Accounting & Information Management, 33(2), 287-312.

[3] Lingareddy, N., Indoria, D., Deepika, S., George, G., & Priya, M. K. (2025, May). Enhancing Digital Payment Security: UPI Fraud Detection with Advanced Machine Learning Algorithms. In 2025 Global Conference in Emerging Technology (GINOTECH) (pp. 1-7). IEEE.

[4] Kumar, R. A., Ishrat, S., Prasad, M. D., Siddiq, P. A., & Shankar, N. H. (2025, June). AI-Driven Detection Mechanism for UPI Fraud and QR Code Tampering. In 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (pp. 877-883). IEEE.

[5] Davitaia, A. (2025). Artificial Intelligence and machine learning in fraud detection for digital payments. International Journal of Science and Research Archive, 15(3), 714-719.

[6] Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025, December). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-8). IEEE.

[7] Adegbite, M. (2025). The Intersection of AI, banking and fintech in seamless financial services. World Journal of Advanced Research and Reviews, 25, 1516-1526.

[8] Oyeniyi, L. D., Ugochukwu, C. E., & Mhlongo, N. Z. (2024). Implementing AI in banking customer service: A review of current trends and future applications. International Journal of Science and Research Archive, 11(2), 1492-1509.

[9] Jeyachandran, P. (2024). Leveraging machine learning for real-time fraud detection in digital payments. Available at SSRN 5076783.

[10] Lin, A. K. (2024). The AI revolution in financial services: emerging methods for fraud detection and prevention. Jurnal Galaksi, 1(1), 43-51.

[11] Naveeenkumar, N., Rallapalli, S., Sasikala, K., Priya, P. V., Husain, J., & Boopathi, S. (2024). Enhancing consumer behavior and experience through AI-driven insights optimization. In AI impacts in digital consumer behavior (pp. 1-35). IGI Global Scientific Publishing.

[12] Soyombo, O. T. (2024). Reviewing the role of AI in fraud detection and prevention in financial services. International Journal of Science and Research Archive, 11(1), 2101-2110.

[13] Zhang, X. (2024). Machine learning insights into digital payment behaviors and fraud prediction.

[14] Cubric, M., & Li, F. (2024). Bridging the ‘Concept–Product’gap in new product development: Emerging insights from the application of artificial intelligence in FinTech SMEs. Technovation, 134, 103017.

[15] Yazdi, M., Zarei, E., Adumene, S., & Beheshti, A. (2024). Navigating the power of artificial intelligence in risk management: a comparative analysis. Safety, 10(2), 42.

[16] Noreen, U., Shafique, A., Ahmed, Z., & Ashfaq, M. (2023). Banking 4.0: Artificial intelligence (AI) in banking industry & consumer’s perspective. Sustainability, 15(4), 3682.

[17] Jain, R. (2023). Role of artificial intelligence in banking and finance. Journal of management and science, 13(3), 1-4.

[18] Pamisetty, A. (2023). AI Powered Predictive Analytics in Digital Banking and Finance: A Deep Dive into Risk Detection, Fraud Prevention, and Customer Experience Management. Fraud Prevention, and Customer Experience Management (December 11, 2023).

[19] Devan, M., Prakash, S., & Jangoan, S. (2023). Predictive maintenance in banking: leveraging AI for real-time data analytics. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(2), 483-490.

[20] Fares, O. H., Butt, I., & Lee, S. H. M. (2022). Utilization of artificial intelligence in the banking sector: a systematic literature review. Journal of Financial Services Marketing, 1.

[21] Sheth, J. N., Jain, V., Roy, G., & Chakraborty, A. (2022). AI-driven banking services: the next frontier for a personalised experience in the emerging market. International Journal of Bank Marketing, 40(6), 1248-1271.

[22] Bao, Y., Hilary, G., & Ke, B. (2022). Artificial intelligence and fraud detection. In Innovative Technology at the Interface of Finance and Operations: Volume I (pp. 223-247). Cham: Springer International Publishing.

[23] Fritz-Morgenthal, S., Hein, B., & Papenbrock, J. (2022). Financial risk management and explainable, trustworthy, responsible AI. Frontiers in artificial intelligence, 5, 779799.

[24] Patra, G. K., Rajaram, S. K., Boddapati, V. N., Kuraku, C., & Gollangi, H. K. (2022). Advancing digital payment systems: combining AI, big data, and biometric authentication for enhanced security. International Journal of Engineering and Computer Science, 11(08), 10-18535.

[25] Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of marketing, 85(1), 131-151.

[26] Ghandour, A. (2021). Opportunities and challenges of artificial intelligence in banking: Systematic literature review. TEM journal, 10(4), 1581-1587.

[27] Cao, L., Yang, Q., & Yu, P. S. (2021). Data science and AI in FinTech: An overview. International Journal of Data Science and Analytics, 12(2), 81-99.

[28] Ashta, A., & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance. Strategic Change, 30(3), 211-222.

[29] Nwangene, C. R., Adewuyi, A. D. E. M. O. L. A., Ajuwon, A. Y. O. D. E. J. I., & Akintobi, A. O. (2021). Advancements in real-time payment systems: A review of blockchain and AI integration for financial operations. IRE Journals, 4(8), 206-221.

[30] Cao, L., Yuan, G., Leung, T., & Zhang, W. (2020). Special issue on AI and FinTech: the challenge ahead. IEEE intelligent systems, 35(2), 3-6.

[31] Caron, M. S. (2019). The transformative effect of AI on the banking industry. Banking & finance law review, 34(2), 169-214.

[32] Aziz, S., & Dowling, M. (2018). Machine learning and AI for risk management. In Disrupting finance: FinTech and strategy in the 21st century (pp. 33-50). Cham: Springer International Publishing.