An Artificial Intelligence Framework for Project Initiating

The research draws attention to a question that all companies ask themselves nowadays: "Is it possible, and if so, how can Artificial Intelligence be integrated into the company and its processes?". This thesis specifically deals with the role that Artificial Intelligence could play if integrated correctly within Project Management processes, and it has the aim of exploring how machine learning technologies can support decision-making processes in the early stage of projects. The work arises from the need to identify operational ways to introduce AI tools in organizational contexts, defining a methodological framework that guides their implementation in an effective and sustainable way. The research path combines a theoretical part, dedicated to the analysis of the fundamentals of artificial intelligence and project management models, with an application part developed in collaboration with Italdesign, a company in the automotive sector. At this stage, operational flows, the structure of business data and the opportunities for integrating AI into request for quotation (RFQ) management were analyzed, identifying the areas with the greatest potential for automation and decision support. Finally, the thesis proposes a conceptual model for the introduction of AI tools in the project initiating phase, which combines the technological perspective with the organizational one. This approach aims to provide a reference basis for future applications and studies aimed at promoting data-aware and data-centered digital transformation in the field of project manage??ment.