This research aims to evaluate the risk management of automated welding, coating and overlay projects for a client in the steel industry. For a project of this magnitude, in which the impact of failure compromises the result of the customer's operation and the image of the service provider, a detailed planning of the stages is important and the contracted company appoints a qualified project manager to increase the chance of success. The methodology applied is qualitative, with a single exploratory case study. The data collected are from three sources: interview with those responsible for the project, analysis of documents from the project carried out and direct observation. It was found that the client contracting the project scored as satisfied with the results, due to the technology used and the close relationship, but the supplier company uses few methods of risk survey, monitoring and feedback, with limitation to analyze technical risks , which opens up the opportunity for improvement. It is suggested the implementation of means by which the organization makes it possible to assess risk from the formal information feedback process, without relying only on the accumulated experience of its professionals. What will boost your growth and develop competitive advantage.

Industry 4.0 concepts have been studied over the past few years, as well as how to implement them within companies. Due to the recent discussion of Industry 4.0, organizations are experiencing a moment of transition, where they deal with analog and digital technologies at the same time (hybridism). The transformation to Smart Factory impacts the company's operational processes, technological development and strategies. In this context, it is possible to analyze companies according to the level of adoption of Industry 4.0 concepts, named as "maturity" in Industry 4.0. This study aims to analyze the maturity level in eleven companies located in Greater São Paulo, classifying them into five distinct levels (from no application of Industry 4.0 to application of practices provided for in Smart Factory). The main contributions of this work are to present an analysis in relation to the different levels of maturity in the companies surveyed and to suggest a checklist that can support companies in the analysis of their current level of maturity and, in this way, enable a plan to reach higher levels of maturity to reach the Smart Factory. This work is characterized as an exploratory qualitative case study in which answers were collected from key people in the organizations surveyed, through a questionnaire developed from a literature review on maturity in Industry 4.0.