Report by Cisco and Omdia

The Impact of Agentic AI on Network Operations

13 FINDINGSPublished Sep 23, 2026
View Original Report →

Key Findings

95% of enterprises say their existing non-agentic AIOps tools fall short in one or more significant areas.

AIOpsEnterprise

75% of organizations have already deployed AI for NetOps.

AI AdoptionNetOpsEnterpriseNetOps

51% of organizations run agentic AI that acts in production today.

Agentic AIEnterpriseNetOps

86% of organizations say a single integrated platform is the most effective path forward for scaling agent-driven operations.

NetOpsEnterprise

80% of organizations are comfortable granting AI a high or fully autonomous role in NetOps.

NetOpsEnterpriseNetOps

82% of organizations are comfortable allowing AI to make at least some production network changes without prior human approval.

AutomationChange ManagementNetOpsEnterprise

84% of organizations expect an AI-led operating model within twelve months.

AI AdoptionOperating ModelNetOpsEnterprise

36% of organizations say full observability, including detailed tracing, summarized rationale, and post-action audits, is the minimum acceptable standard.

ObservabilityAudit TrailsNetOpsEnterprise

Tasks performed by agents can generate up to 450% more total network traffic when agentic AI-generated traffic is included.

Network TrafficAgentic AINetOpsEnterprise

The average organization generates about 4,100 monitoring alerts and events each day, with more than half being network-related.

Network OperationsMonitoringEnterpriseNetOps

Nearly half of network alerts are closed without investigation.

Network OperationsAlert ManagementEnterpriseNetwork AlertsNetOps

24% of organizations are comfortable with AI acting with no human oversight in NetOps.

AutonomyAI GovernanceNetOpsEnterprise

69% of organizations require detailed explainability for agent-driven actions.

NetOpsAI TrustEnterprise