The Future of AI-Powered Contact Centers in Banking Operations
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V7I1P125Keywords:
Artificial Intelligence (AI), AI-Powered Contact Centers, Banking Operations, Conversational AI, Intelligent Call Routing, Agent Augmentation, Customer Experience (CX), Workforce Optimization, Operational Resilience, Digital Transformation in Banking, Automation in Financial Services, Human–AI Collaboration, Ethical AI in Banking, Predictive Analytics, Omnichannel Customer SupportAbstract
Contact centers remain one of the most critical customer touchpoints in banking operations. However, traditional contact center models struggle to scale efficiently while meeting modern customer expectations for fast, personalized, and always-available service. Artificial Intelligence (AI) is reshaping this landscape by enabling conversational automation, intelligent routing, and agent augmentation. This paper examines the future of AI-powered contact centers in banking, with particular focus on how AI reduces frontline agent dependency while improving service quality and operational resilience. Drawing on industry practices and practical observations, the paper discusses key AI technologies, workforce optimization models, ethical considerations, and future trends. The study concludes that AI does not replace human agents outright, but fundamentally transforms contact center structures by shifting human effort toward higher-value and judgment-intensive work.
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References
[1] A. Smith, “Artificial Intelligence in Banking Customer Service,” IEEE Transactions on Services Computing, vol. 16, no. 2, pp. 210–220, 2023.
[2] J. Brown and L. Wang, “Conversational AI for Contact Centers,” in Proceedings of the IEEE International Conference on AI, 2022.
[3] M. Johnson, Machine Learning Applications in Financial Services. Springer, 2021.
[4] R. Patel et al., “Speech Analytics and Compliance in Banking,” IEEE Access, vol. 10, 2022.
[5] Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595. https://doi.org/10.1016/j.jbusres.2018.10.050
[6] Gnewuch, U., Morana, S., Adam, M., & Maedche, A. (2017). Towards designing cooperative and social conversational agents for customer service. International Conference on Information Systems (ICIS), 1–19.
[7] Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–15. https://doi.org/10.1177/1094670520902262
[8] Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
[9] Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. A. (2020). Investigating the effects of big data analytics capabilities on firm performance: The mediating role of dynamic capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.04.004
[10] Accenture. (2017). Banking Technology Vision 2017: Intelligence unleashed. Accenture Report.
