Manual ACMG interpretation requires the interpreter to retrieve population frequency data, functional predictions, splice impact scores, literature citations, and internal lab history for every variant - a process that takes 15 to 45 minutes per variant depending on complexity. The AI-driven variant classification platform automates that evidence retrieval and aggregation, presenting the interpreter with a pre-assembled evidence dossier, a suggested ACMG classification tier, a confidence score, and the specific criteria that contributed to the suggestion. The interpreter reviews, adjusts if needed, and signs off. For high-volume labs running large gene panels or population-scale WGS programmes, this reduces interpretation time per variant by 60–70% while maintaining full clinical oversight and an auditable decision trail. VUS re-analysis runs automatically as new evidence accumulates - ensuring reclassification happens when the evidence supports it, not when someone remembers to check.