Agentic AI Revolutionizes Network Operations Amid Rising Complexity
Network operations teams are struggling to keep up with increasing complexity from more applications, devices, cloud dependencies, security controls, and telemetry. AI workloads have added another layer of demand with new traffic patterns, performance requirements, and operational complexity.
A recent Cisco and Omdia study found that 75% of organizations have already deployed AI for network operations. More than half are running agentic AI systems in production today, and 84% expect to reach an AI-led operating model within 12 months.
The report highlights the limitations of current NetOps practices, where teams are drowning in data and struggling to connect signals quickly enough to understand what's happening and take action. The average organization generates around 4,100 monitoring alerts and events per day, with about half tied to the network.
To address these challenges, agentic AI systems that can sense, reason, act, and verify within clear controls are being implemented. These systems provide a unified view across domains, giving agents the context they need to act decisively and reliably within even the most complex environments.