
Introduction The rapid integration of sophisticated artificial intelligence models into corporate workflows has vastly outpaced the structural development of governance frameworks needed to maintain oversight and control. While companies race to leverage the efficiencies of automated decision-making, recent industry data suggests that most organizations are operating without a safety net, leaving them vulnerable to unmitigated technical failures. This gap between










