Software modelling has grown in importance since the end of the 20th century, and its importance continues to grow with IT systems becoming increasingly important, complex, and larger in scale. This dissertation addresses the intersection between artificial intelligence (AI) and software modelling, focusing on the generation of Unified Modeling Language (UML) and Business Process Model and Notation (BPMN) diagrams by AI. Being that UML plays a key role in representing complex and large-scale information systems structurally and BPMN helps communicate effectively business processes, this research is focused on the potential capability of AI, specifically GPT 3.5 and GPT 4.0, to generate and create these diagrams automatically from descriptive problem statements.