In this paper, a satisfaction survey of an industrial site hazard factor management application was conducted targeting workers in eight major industrial sectors (construction, manufacturing, service industry, distribution and logistics, transportation, medical and nursing professions, and firefighting). The effectiveness of the application was verified. The hypothesis testing results through the research model are as follows: The impact of the preventive nature of risk factors was measured, and the relationship between preventive management of risk factors was confirmed through the attributes of usability and stability in service quality. It was verified that each factor indeed influences artificial intelligence risk management services. Furthermore, it was confirmed that if risk factors in the workplace can be discovered in advance through artificial intelligence risk management services, there is a positive impact on the intention to adopt the application. Through this, it was discovered that the implementation of functionality related to observing risk factors is necessary for the utilization of existing worker support programs in specific industrial sites. It is essential to ensure the continuity of workers' tasks through the prediction of risk factors, which can lead to increased work productivity.