It is becoming increasingly important how IT projects handle production sets in order to ensure flawless deliveries and quickly satisfy customers and users with new qualityassured functionality. For newly started projects, it is a natural part to build a delivery structure around a Continuous Integration or Continuous Delivery workflow that are methods for automating and contributing to this. But for a management project that has been going on for several years without having adopted automated methods, it is not certain that it is just as economically justified from the customer's perspective. The purpose of the thesis project is to contribute with knowledge in automatic commissioning as older management projects can take part in to better understand whether there is an economic motivation to implement an automatic commissioning tool and a CI / CD method of operation. The knowledge can be used to better motivate a management group that annually bases the management project's budget to invest in an automated deployment flow. Based on the purpose, four questions were formed that have been answered by developing an automated commissioning tool and comparing it with the manual methods that a management project uses. The methods were evaluated by experiment and analysed by T-test to investigate the time efficiency of the tool and ROI analysis to assess whether the tool is a profitable investment. The result of the study indicates that an automatic tool is more time-efficient, but that the development time for developing the tool represents a higher cost than the time savings. This means that the management project on which the tool was applied would have a negative return of - 6% based on one year. Instead, the thesis highlights other positive consequences that should be emphasized by introducing automatic commissioning. The work responds to the purpose by clarifying how the two flows look from a developer perspective and presenting cost-related effects that the automatic tool constitutes compared to manual methods. The results of the study contribute to increase knowledge in automatic deployments and its effects on older management projects using manual methods.