Heritage conservation demands innovative approaches that integrate advanced technologies with traditional principles to protect monuments and historic buildings. This research investigates the potential of Building Information Modeling (BIM) in heritage conservation, with a focus on developing and adapting workflows tailored to Heritage Building Information Modeling (HBIM). Through a systematic analysis of literature, the research highlights the adaptation of scan-to-BIM methodologies for HBIM creation and their significant role in enhancing preservation efforts. Key technologies, including laser scanning, photogrammetry, and machine learning, are discussed for their contributions to generate accurate and information-rich digital models of heritage structures. Furthermore, this work discovers critical specifications and proposes a structured framework for balancing these specifications within HBIM workflows. This framework addresses challenges such as standardization, scalability, and adaptability, which are essential for accurately capturing the complexity of heritage buildings. By examining these issues, the study identifies opportunities to improve HBIM's capability to monitor, document, and manage culturally significant assets. The findings provide a comprehensive understanding of HBIM processes and their potential to support the effective conservation of heritage.