AI-Powered Chatbots and Service Agents: Redefining Customer Support with Microsoft Co-Pilot
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
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
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.