Application of CPM, PERT and Monte Carlo Methods to the Planning of a Microsoft 365 Copilot Implementation Project in a Selected Public Administration Organisation

This thesis analyses the project schedule of a Microsoft 365 Copilot and AI agent implementation in a selected public administration organisation. The objective is to assess the project's time structure using three network analysis methods: the Critical Path Method (CPM), the Program Evaluation and Review Technique (PERT), and Monte Carlo simulation. The author serves as project manager of the analysed project, enabling the construction of a network model based on direct project knowledge and consultations with organisational experts. The model comprises 71 leaf-level activities arranged in nine phases. The results of each method are compared and interpreted from the perspective of project schedule risk. The comparison allows for an assessment of the value added by each approach in the context of this type of project.