ROOT CAUSE, POWERED BY AGENTIC NETOPS
Reduce MTTR for Network Troubleshooting
Every minute spent chasing root cause is a minute not spent helping prevent network outages or supporting business initiatives. With Agents, match the incoming incident to your live network, tracing straight to root cause instead of a guess.
An Agent Diagnoses. Deterministic Automation Fixes
Not every incident needs your best engineer or your most expensive agent. A deterministic Runbook resolves known problems automatically, and only the truly novel or complex incidents get routed to Deep Diagnosis, saving cost and freeing time for your best engineers.
- Run on a harness grounded in your network’s live context and intent for improved outcomes.
- Calculate live paths in real time, revealing what’s happening in your network, not what configs say should happen (e.g., asymmetric routing, failovers, policy reroutes).
- Review the root cause analysis and recommendation in plain English.
- Draw on your generated Skills and any connected ITSM and observability systems like ServiceNow or Dynatrace for extra context.
- Build repeatable workflows with the Runbook Companion Agent after diagnosis.
A Compounding Learning Loop Turns Every Diagnosis Into a Smarter Agent
Every time a senior engineer works through something new, that expertise doesn’t stay locked in one person’s head. NetBrain turns it into a runbook the whole NOC can run.
Over time, the NOC handles more on its own using deterministic automation, and senior engineers spend more time on complex problems and new initiatives.
Let previous tickets drive learning. Turn ticket history and diagnosis memory into automated prevention rules and troubleshooting skills.
That is the learning loop: every resolved incident becomes validated, reusable automation, so the next occurrence costs less to prevent and takes less time to close. The NOC shifts from reactive to preventive and proactive, one resolution at a time.
Plain-Language Diagnosis for Every Engineer
AI agents give engineers a natural-language way into input a problem and receive a diagnosis. Ask it what’s wrong in natural language and watch as it runs the same checks an expert would in a fraction of the time: Layer 2/Layer 3 reachability, policy changes, misconfigured ACL rules. It answers them all transparently.
Every answer is shown step by step, as Deep Diagnosis reasons using purpose-built tools grounded in your network’s live context. It even provides the recommended action to take, including instructions.
Once Deep Diagnosis finds root cause, hand it off to the Change Agent with one click to generate a safely executable deterministic change runbook (pre-check, execute, post-check, compare, document), without touching devices.
See Make Safe Network Changes to explore governed agentic workflows further. Autonomy is earned incrementally: start human-in-the-loop, extend to human-on-the-loop as confidence builds, task type by task type.
“ This platform helped us with the creation of workflows and, since is no-code, it doesn't require programming. So we can focus on just setting up our workflows. Our main benefits from this tool is that provides network validation, diagrams, and if there is a problem, we can diagnose or troubleshoot it.”
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Frequently Asked Questions
- What does MTTR mean, and why does it matter for network teams?
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MTTR (Mean Time to Repair) is the average time it takes to fully resolve a network incident, from detection to restoration. Lower MTTR means less downtime and less firefighting per incident.
- How does NetBrain's Deep Diagnosis Agent reduce MTTR?
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An engineer asks Deep Diagnosis a question through AI Copilot, and it reasons through the network in real time, asking for missing context instead of guessing. It returns a plain-language root cause and points to matching automation already in the system. MTTR drops because engineers spend less time gathering context and more time acting on an answer.
- What's the difference between the Deep Diagnosis Agent and the Runbook Companion Agent?
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The Deep Diagnosis Agent finds root cause for complex or novel incidents. Transfer the diagnosis to a Runbook via the Runbook Companion Agent, for future automated diagnosis and change windows.
- Does automating network troubleshooting mean replacing our existing monitoring tools?
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No. NetBrain works alongside your existing monitoring, ITSM, and observability stack. REST APIs and webhooks handle custom connections, and MCP lets NetBrain exchange live network context directly with tools like ServiceNow, Dynatrace, BigPanda, and Selector, adding the diagnosis and automation layer those tools don’t do on their own.
- How quickly can we expect MTTR to improve after deployment?
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It varies by network complexity and how many incident types are already codified as Runbooks. Highest-volume incident types typically improve first.
- Does reducing MTTR also help prevent network outages?
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Often, yes. The Assessment Agent builds everything needed to automatically check across the network for the same root cause, so the same incident gets caught and handled before it escalates into a full outage.