As enterprise data environments expand, incident management often remains manual and resource intensive. A global organization managing hundreds of data workflows handled thousands of incidents each month, with nearly 70% being repetitive, leading to extended resolution times and reliance on support teams.

To address this, the organization implemented an AI-powered Ops Support Assistant that analyzes incidents, maps them to resolution strategies, and executes actions autonomously escalating only when needed.

The result was a sharp reduction in resolution time from ~ 4 hours to under 3 minutes, significantly lowering manual effort and improving consistency. More importantly, the organization transitioned to a scalable, autonomous operations framework.