The digital paradigm, commonly called Industry 4.0, has led many companies to adopt technologies that support process automation. The human factor has been left behind, which is in contradiction with the recommendations evidenced in the literature. Since the creation of value in industry 4.0 can be reached profitably through the adoption of technologies that end up placing human beings at the center of modernization and improvement, the loss of skills due to labor turnover is something to be avoided by companies. Engagement is an employee's emotional state that manifests itself with motivation and absorption in the workplace. Currently, the only way to assess workforce engagement is by using traditional scales techniques (such as Utrecht Work Engagement Scale, or Gallup Q12 employee Engagement scale). Therefore, there are no mechanisms in the industrial environment capable of collecting data, which, properly treated, can predict employee engagement and help in recognizing when the employee is about to leave the company. This paper aims to present a vision about an innovative technological tool that intends to assess and, at the same time, foster workforce engagement, in order to monitor the future possibility of them remaining in the company or leaving.