As maxillofacial surgery becomes increasingly digitized and the transformative impact of pre-surgical scanning and computer simulation is recognized, this clinical paper presents an algorithm for the selection of interventions in severe congenital oligodontia with Angle class-III malocclusion (OCIII) utilizing such technologies. A complex, multifactorial condition with varying degrees of craniofacial involvement, OCIII is associated with edentulous facial appearance, mandibular prognathism and deep underbite, as well as malocclusion. Our methodology involves the integration of CBCT imaging, intra- and extra- oral scanning, and 3D planning with the assessment of bone volume, number of missing teeth, skeletal discrepancies, and patient compliance in the selection of suitable treatments. This approach accounts for unique patient characteristics by promoting personalized medicine and facilitating the development of predictable treatment modality results by offering a decision-tree for standardized treatment selection in cases of OCIII. This study unequivocally establishes the importance of digital treatment planning for OCIII, enabling the adaptation of surgical protocol for specific concerns and underlying limitations, thereby orchestrating successful treatments, improving patient satisfaction, and surpassing conventional methods.