Artificial Intelligence (AI) is increasingly integrated into law enforcement strategies to address gender-basedviolence (GBV), offering predictive, investigative, and forensic solutions that enhance institutional capacity.This study investigates the role of AI in preventing and investigating crimes against women, with a specialemphasis on São Paulo’s Women’s Police Station (Delegacia da Mulher), recognized as a pioneering model inLatin America. By combining predictive analytics, forensic dashboards, blockchain-based evidencemanagement, and open-source intelligence (OSINT), the study proposes a framework capable of reducingforensic backlog, improving clearance rates, and enabling early intervention in high-risk cases. Comparativeperspectives from the European Union, the United States, and Interpol highlight best practices and ethicalsafeguards. The findings demonstrate that AI integration, if ethically governed, can transform public securityresponses to gender-based violence in Brazil and beyond.