The increasing complexity of modern organizations requires new approaches to capturing, analyzing and understanding organizational structures and dependencies. While digital twin technology has proven itself in manufacturing, aerospace, and infrastructure, its application to organizational contexts remains largely unexplored. Organizations struggle to maintain a coherent overview of their strategic goals, operational processes, supporting systems, and risk exposure, as organizational knowledge is typically scattered across documents, spreadsheets, and implicit experiential knowledge. Although interest in Digital Twins of Organizations (DTOs) has grown in recent years, practical knowledge models and platform-based implementations remain rare.