AI-Powered Chatbots and Service Agents: Redefining Customer Support with Microsoft Co-Pilot

Authors

  • Satyanarayana Asundi

Keywords:

AI chatbots, Microsoft Co-Pilot, customer support automation, NLP, machine learning, AI ethics, CRM integration.

Abstract

Artificial Intelligence (AI) has significantly transformed customer service, with AI-powered chatbots and service agents redefining customer interactions. Microsoft Co-Pilot, an AI-driven virtual assistant, has been integrated into various enterprise solutions, enhancing customer experience and operational efficiency. This paper examines the role of AI service agents in Microsoft Co-Pilot, analysing their benefits, business impact, and ethical considerations. Additionally, it explores the challenges and regulatory frameworks governing AI-powered decision-making in customer service automation.

Downloads

Download data is not yet available.

References

Ashri, R. (2019). The AI-Powered workplace: How Artificial Intelligence, Data, and Messaging Platforms Are Defining the Future of Work. Apress.

Asundi, S. (2021b). Wireless networks encryption. International Journal on Recent and Innovation Trends in Computing and Communication, 9(9), 11396. https://doi.org/10.17762/ijritcc.v9i9.11396

Asundi, S. (2021, November 5). Cloud computing breaches and security issues. https://doi.org/10.13140/RG.2.2.23811.00803

Asundi, S. (2022). CPTED best practices. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 322–325. https://www.researchgate.net/publication/387897202_Crime_Prevention_Through_Environmental_Design_CPTED_CPTED_Best_Practices

Cerruti, C., & Valeri, A. (2022). AI-powered platforms: Automated transactions in digital marketplaces. Retrieved from https://www.researchgate.net/publication/369762615_AI-Powered_Platforms_automated_transactions_in_digital_marketplaces

Chourasia, S., Pandey, S. M., Murtaza, Q., Agrawal, S., & Gupta, K. (2023). Redefining Industry 5.0 in Ophthalmology and Digital Metrology: A Global perspective. MAPAN, 38(2), 527–545. https://doi.org/10.1007/s12647-023-00633-1

Féry, G. (2022). The Digital Journey of Water and Sanitation Utilities in Latin America and The Caribbean: What is at Stake and How to Begin. https://doi.org/10.18235/0004562

Følstad, A., Araujo, T., Papadopoulos, S., Law, E. L., Luger, E., Goodwin, M., & Brandtzaeg, P. B. (2021). Chatbot research and design: 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23–24, 2020, Revised Selected Papers. Springer Nature.

Hadi, M. U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., & Khan, M. A. (2023). Large language models: A comprehensive survey of their applications, challenges, limitations, and future prospects. Authorea Preprints. https://doi.org/10.22541/au.168053120.89114668/v1

Jung, T., Cho, J., Han, D. D., Ahn, S. J., Gupta, M., Das, G., Heo, C. Y., Loureiro, S. M. C., Sigala, M., Trunfio, M., Taylor, A., & Dieck, M. C. T. (2023). Metaverse for service industries: Future applications, opportunities, challenges and research directions. Computers in Human Behavior, 151, 108039. https://doi.org/10.1016/j.chb.2023.108039

Kowalkowski, C., Wirtz, J., & Ehret, M. (2023). Digital service innovation in B2B markets. Journal of Service Management, 35(2), 280–305. https://doi.org/10.1108/josm-12-2022-0403

Martínez-Plumed, F., Gómez, E., & Hernández-Orallo, J. (2020). Futures of artificial intelligence through technology readiness levels. Telematics and Informatics, 58, 101525. https://doi.org/10.1016/j.tele.2020.101525

Oecd. (2021). Preparing the tourism workforce for the digital future. In OECD Tourism Papers. https://doi.org/10.1787/9258d999-en

Tuffaha, M. (2022). Adoption Factors of Artificial intelligence in Human Resource Management. https://doi.org/10.4995/thesis/10251/185909

Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253–261. https://doi.org/10.1016/j.jbusres.2020.06.057

Wang, Y. (2022). Digital supply chain transformation: emerging technologies for sustainable growth. https://doi.org/10.18573/book8

Zhang, P., & Kamel Boulos, M. N. (2023). Generative AI in medicine and healthcare: Promises, opportunities and challenges. Future Internet, 15(3), 89. https://doi.org/10.3390/fi15030089

Downloads

Published

30.10.2023

How to Cite

Satyanarayana Asundi. (2023). AI-Powered Chatbots and Service Agents: Redefining Customer Support with Microsoft Co-Pilot. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 615 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7267

Issue

Section

Research Article