In highly complex IT environments, changes in one area can have unforeseen effects elsewhere, complicating risk assessment. This session introduces the new AI/ML-driven Change Risk Advisor decision support system that  saves time and enhances process efficiency for the change management team by accelerating the approval process with comprehensive inputs for new changes.