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Build your agentic NetOps team with grounded AI agents, live network context, and governed execution across your complex hybrid network. Diagnose faster, change safely, and close the loop,cutting downtime in ways monitoring and automation alone can't. Here's a look at what's new:

• The Agent Team
  Diagnosis, Change, and Assessment agents partner with your team to find root cause, plan and orchestrate change for human approval, and validate compliance at scale.
• NetOps Harness
  The foundation that makes every execution safe and accurate, whether it's a network engineer or an AI agent. It matches the approval model you choose, from human-in-the-loop to fully autonomous, logs every action for audit, and keeps cost trending down as issues recur instead of up as usage grows.
• AI Copilot
  A unified chat interface that routes every request to the right agent, replacing the fragmented entry points of Deep Diagnosis, Bot, and Runbook Companion.
• AI Agent Studio
  Govern and build custom agents by injecting domain knowledge and site-specific logic into how each agent reasons, tailoring each agent's behavior to your network and making the agent team yours.
• AI Domain Doctor
  Keeps the network data every other agent relies on clean by auto-fixing safe issues and flagging anything that would reshape topology for your review.
• AI Dashboard
  Turns a plain-language description of the data and visualization you need into a self-contained report, built from live queries against your network.
• Compounding Learning Loop
  Persistent memory captures the root cause of every incident and turns it into updated runbooks, intent-based automations, and a pattern library — so the same failure doesn't recur, and similar incidents get faster and cheaper to fix over time.