## 1 Introduction  
The effect of market globalization is associated with increased customer demands and organizations' pursuit of excellence to achieve competitive advantages [1]. If organizations are to compete in times of economic uncertainty, it is essential to focus on improving core business processes [2]. This generates a situation in which managers seek solutions aimed at increasing efficiency and effectiveness through the automation and/or robotization of highly standardized business processes. A precise understanding of GPT's tools, such as ChatGPT, in the context of BPM, may reconfigure the conventional customer service model in the automotive sector by enhancing timely and accurate responses to customer queries, implementing intelligent chatbots, ultimately leading to a reduction in customer-query response times. In addition to the technologies characterized by a high degree of operationalization in business, a new tool based on artificial intelligence (AI) technology has emerged--ChatGPT, a large language model developed by OpenAI, unveiled in November 2022 [3]. The implementation of ChatGPT in BPM, along with chatbot tools and other AI technologies, offers the potential to automate routine activities and improve the overall customer experience [4]. In the course of researching organizational management, it becomes apparent that publications specifically addressing the implementation of ChatGPT are underrepresented, while studies examining the broader impact of AI technologies on business-process management can clearly be identified [5; 6]. Business processes (BPs) lie at the core of an organization [7]. BPs constitute a natural operational category, which means they occur in every organization [8]. To succeed in an environment of increasing market dynamics and high levels of competitive pressure, organizations need to constantly adapt their business processes [9]. business-process management (BPM) is defined in the literature as a management discipline dedicated to improving organizational performance by managing its processes [10]. [PERSON] and [PERSON] [11] identified the main components of BPM, which they classified as modeling, the implementation of automation, optimization, and process management using the process-owner role. The cross-functional role of the process owner, in the context of continuous management and process improvement, has been also indicated in the work of [1]. Other authors, by contrast, identify BPM as a technique enabling the management of operations within an organization's business-process dimension [12]. More specifically, BPM revolves around such activities as identification, definition, analysis, design, execution, monitoring, and measurement, as well as the continuous improvement of business processes [13]. In this paper, BPM is identified as a management method of a steadily growing interest [14; 15], which contributes to its development towards discounting the benefits of AI-based technologies and tools. Published studies have highlighted the benefits and limitations of AI technologies' implementation and the potential thereof to revolutionize traditional BPM processes [16]. The integration of artificial intelligence (AI) technologies in BPM can bring significant changes to traditional processes and improve the overall customer experience [6]. The literature study has revealed two cognitive gaps: a scarcity of publications addressing the subject of after-sales processes and a deficit of papers characterizing the potential of ChatGPT implementation in management. As a result, the research problem has been defined:  
Research question: What is the potential role of implementing ChatGPT in stream-lining after-sales processes in the automotive sector, particularly in terms of reducing process-completion time? It is important to acknowledge that ChatGPT has only been in operation for a few months during the writing of this article. Therefore, this study serves to highlight preliminary considerations and outlines for future research directions.