This thesis explores the development of an AI-powered portfolio management tool utilizing ChatGPT. The research adopts a case study approach, following the principles of Design Science Research (DSR) methodology, to address the challenges faced in managing diverse financial assets. The study includes a comprehensive literature review on the intersection of artificial intelligence and financial portfolio management, emphasizing recent advancements in machine learning and language models. Based on the findings, a tailored tool was developed to automate data integration, performance tracking, and decision-making support. The results demonstrate that AI-based solutions can enhance the efficiency and accuracy of portfolio management processes, providing actionable insights and reducing manual workload. The thesis concludes with recommendations for integrating AI into financial workflows and considerations for future enhancements.
