Conference proceedings article

Generative AI in Customer Support Services: A Framework for Augmenting the Routines of Frontline Service Employees



Publication Details
Authors:
Reinhard, P.; Li, M.; Peters, C.; Leimeister, J.
Editor:
Bui, Tung X.
Publisher:
University of Hawaiʻi at Mānoa
Place:
Waikiki, Hawaii, USA

Publication year:
2024
Pages range :
TBD
Book title:
Hawaii International Conference on System Sciences (HICSS)
ISBN:
978-0-9981331-7-1
Languages:
English


Abstract

Customer support service employees are facing an increased workload, while artificial intelligence (AI) appears to possess the potential to change the way we work. With the advent of modern types of generative AI, new opportunities to augment frontline service employees have emerged. However, little is known about how to integrate generative AI in customer support service organizations and purposefully change service employee work routines. Following multi-method qualitative research, we performed a literature review, conducted workshops, and interviewed IT support agents, managers, and AI experts. Thereby, we examine AI augmentation for frontline service employees in the context of IT support to carve out where and how GenAI can be leveraged to develop more efficient and higher-quality customer support. Our resulting framework reveals that especially adapting solutions and retaining knowledge is subject to a high degree of AI augmentation.



Keywords
artificial intelligence, augmentation, customer service, dempub, Generative AI, itegpub, large language models, pub cpe, pub jml, pub mli, pub pre


Authors/Editors

Last updated on 2024-12-01 at 14:19