ROI of AIOps for Operational Efficiency

This technical report examines the return on investment (ROI) of AIOps in enhancing operational efficiency within organizations. It defines AIOps as the integration of artificial intelligence and machine learning with operational practices to improve incident management and decision-making. The report identifies key teams that benefit from AIOps, including Network Operations Centers (NOCs), Major Incident Management (MIM) teams, and distributed service-owning teams. It outlines the capabilities of AIOps such as noise reduction, automation, triage, and data visualization, which contribute to faster incident detection and resolution. The document also discusses the quantifiable benefits of AIOps, including fewer incidents, lower mean time to resolution (MTTR), improved employee experience, and accelerated innovation. By leveraging AIOps, organizations can transition from reactive to proactive incident management, ultimately leading to a more resilient operational framework. The report emphasizes the importance of demonstrating tangible ROI to secure budget for AIOps initiatives.