Saurabh Goel and Kush Shah of Cisco demonstrated how AgenticOps brings AI-driven operations to Cisco Cloud Control. Goel showed deep reasoning in the AI Assistant handling a long-horizon wireless capacity planning task. Shah walked through the agentic loop of sensing, diagnosing, and remediating network issues, using live incidents from Cisco’s own network and early results from beta customers. Goel and Shah, both product managers in Cisco Networking, presented at Networking Field Day 41.

Goel cited Cisco survey data showing that more than half of IT teams’ daily alerts are network related and that 90% of respondents face cross-domain issues, a load that exceeds what people alone can handle. Cisco Cloud Control addresses this with a single front door for login, inventory, topology, and alerts. From there, operators can use the AI Assistant, delegate work to agents, or bring in Cisco intelligence through MCP servers. In Goel’s demo, deep reasoning assessed whether a London office with six APs could support a 200-person event. It pulled data from Meraki dashboard APIs, scored AP health, channel utilization, and connection success, and returned an overall readiness score of four with prioritized fixes for DHCP and authentication failures. Shah then showed the agentic loop on Cisco’s RTP network. An incident for RADIUS rejections on a corporate SSID arrived with a briefing, recommended actions, and a full reasoning log, and a PoE alert led to a cable test that found a faulty cable.

Both presenters described autonomy as a journey of trust that moves from diagnosis and recommendations toward constrained operation and, eventually, automation under policy. Actions entered beta the week before the event. RBAC governs agent changes, and an audit trail records them. Cisco is also embedding ThousandEyes hop-by-hop data so that root cause analysis can look beyond Cisco’s own gear. Beta customers have already found a failing WAN link, an AP on an access port that affected 166 clients, and a retail guest circuit with no cellular failover. Delegates pushed back on calling statistical output “reasoning,” and Shah conceded that the model sometimes pulls in unrelated issues, adding that human feedback is how it improves. With roughly 150,000 queries a month, Goel said Cisco is still tuning guardrails to block misuse without shutting out users who are simply curious.

Presented by Kush Shah, Product Management Leader, and Saurabh Goel, Product Management Leader. Recorded live at Networking Field Day 41 in Santa Clara, CA on October 9, 2026. Watch the entire presentation at https://techfieldday.com/appearance/cisco-networking-and-security-presents-at-networking-field-day-41/ or visit https://techfieldday.com/event/nfd41/ or https://Cisco.com/ for more information.