## 1 Introduction  
Recently, many industries in Thailand have begun to adopt digital transformation to stay competitive. For example, traditional car rental is transitioning into a car sharing business using Internet of Things (IoT) and mobile phone application technology [1]. The construction industry is also undergoing digital transformation to improve its ability to address challenges such as low productivity, project overruns, labor shortages, and inefficient performance management [2] Suboptimal collaboration among project managers, administrative staff, and on-site labors is a common problem in large construction firms. Infective collaboration leads to inefficient project management, delays, and increased costs. Miscommunication, human error, poorly standardized work processes, and data loss, also contribute to inefficient project management. Bridge inspection requires many staff operating in different locations to perform visual inspection, and to update bridge information. This routine process involves inspection planning, problem identification, and considerable human judgment that is difficult to standardize [3]. The analysis of large digital data sets may improve project management, safety, energy management, decision-making design, resource management, and control costs [4]. Bridge substructure defect inspection is ideally suited for automated or semi-automated digital applications due to frequent human errors and a chronic shortage of skilled inspectors as shown by the study of [PERSON]. [PERSON] and [PERSON] [5]. A 2021 study by [PERSON] et al. described the use of mobile phone applications to improve quality control, reduce miscommunication, increase transparency, and improve collaboration in Thailand's major construction organizations. Such applications enable users to remotely monitor their projects in real-time, support multimedia attachments, and reduce communication time [6]. In addition, our previous study described how artificial intelligence (AI) can assist users with bridge substructure defect inspection and severity prediction [7]. Recently, more study on the various bridge defect detection with AI have been performed in the laboratory, but not in real environment [8]. Here, we continue this work with the development of a mobile phone application with a built-in AI tool to improve quality control (QC) for bridge defect inspection quality control assessment. This tool can also be used to assist QC field technicians to build bridge information databases, detect defects, perform severity ranking, communicate with team members, and assign new tasks. In addition to technical development, we also describe the product development process from concept to implementation and propose factors that influence intention to use under the framework of the technology acceptance model. The overarching objective is to create value to Thailand's construction industry through digital transformation technology. In doing so, in collaboration with Thailand's Department of Highways, our study can improve project management, reduce workload for its limited experts, and improve collaboration among team members. Importantly, by helping to improve road and bridge infrastructure, these technologies may also reduce accidents, a serious problem in Thailand which ranked second in deaths from traffic accidents in a 2018 World Health Organization report [9]. Therefore, we investigated the use of digital technology to conduct nondestructive bridge defect inspection to evaluate the condition of reinforced concrete [10]. Improving project management through better collaboration and quality control can increase productivity and efficiency, leading to cost savings and competitive advantages. Collaboration is about teamwork and communication. Teamwork is individuals working together to achieve a common goal and is developed through continuous communication among team members. Each team member seeks to clarify their roles and responsibilities and reduce ambiguity.