TechnologyCase Study

Cisco: AgenticOps Brings Autonomous AI Agents to Enterprise Network Operations

Cisco: AgenticOps Brings Autonomous AI Agents to Enterprise Network Operations

·18 min read
CiscoSoftware & Cloud · Enterprise NetworkingFortune 100 · 50M+ networks deployed globally

Key People & Companies

Jeetu Patel

President and Chief Product Officer at Cisco

Cisco

Cisco

AgenticOps

Cisco · Platform

Deep Network Model

Cisco · LLM

AI Canvas

Cisco · Platform

Martin Lund

Executive Vice President at Cisco’s Common Hardware Group

Cisco AI Assistant

Cisco · Platform

Scott Herren

EVP and CFO at Cisco

+ 29 more entities in the full study

Key Results

  • Troubleshooting time collapsed from hours to seconds with Cisco AI Assistant, enabling IT teams to resolve issues before they impacted users. [src-50]
  • The Deep Network Model achieved 20% more accurate reasoning than general-purpose LLMs on CCIE-style multiple-choice questions, demonstrating domain-specific superiority. [src-23, src-42, src-61, src-30]
  • Cisco Silicon One G300 delivered 33% higher network utilization and 28% faster job completion times for AI workloads, maximizing GPU utilization in training clusters. [src-65, src-62, src-27, src-33]
  • + 7 more results inside

For teams responsible for operating and securing distributed networks and infrastructure, AgenticOps represents a profound and fundamental shift away from complexity. This is the true power of Cisco as a platform. By delivering agentic capabilities aligned to critical IT operations priorities, we're combining Cisco's unique cross‑domain visibility, purpose-built models, and governance together to supercharge teams.

Jeetu Patel, President and Chief Product Officer at Cisco

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