Operations | Monitoring | ITSM | DevOps | Cloud

Incident response rarely fails because teams lack tools. More often, it fails because those tools are disconnected when pressure is highest. A monitoring system detects the issue. An ITSM platform holds the incident record. Engineers coordinate in chat. A bridge is created manually. A cloud team checks infrastructure events. Security teams review detections. Leaders ask for updates. Meanwhile, responders are jumping between systems, chasing context, and trying to make decisions quickly.

AI is changing incident management, but not in the way most people think. For years, operations teams focused on getting better at detecting problems. Monitoring improved. Observability improved. AI is now helping teams correlate signals, reduce noise, and identify issues faster than ever before. That’s all valuable, but many organizations are discovering that finding the problem is no longer the hardest part. The harder part is everything that happens next. Who owns the issue?