Network Troubleshooting Automation
Let your AI agent handle log analysis, root cause investigation, and incident documentation—so you can focus on critical IT projects instead of repetitive diagnostics.
You spend hours digging through Cisco switch logs, Windows Event Viewer, and user emails just to find the source of every outage. As a network administrator, you’re constantly interrupted by Slack messages and tickets in ServiceNow, making it hard to keep up. Manual troubleshooting leaves you stressed and always behind.
An AI agent that diagnoses, investigates, and documents network and system issues for IT administrators, reducing manual work and downtime.
What this replaces
The hidden cost
What this is really costing you
In technology companies, network administrators waste valuable time manually reviewing syslogs, parsing error codes from Palo Alto firewalls, and collecting incident details from Jira tickets. Every incident means juggling multiple systems while users wait impatiently for answers. The constant context-switching and repetitive diagnostics drain your focus and delay real progress.
Time wasted
1.8 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$2,610/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Missed root causes can lead to recurring outages, extended downtime, and frustrated end users escalating tickets to management.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
1.8 hrs/week
of manual work
With your AI agent
15 min/week
agent-handled
You save
$2,030/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Diagnose a Server Outage
You ask your agent to analyze log files and pinpoint the cause of a server outage.
Resolve Network Connectivity Issues
You ask your agent to review network logs and suggest steps to fix intermittent connectivity problems.
Identify Failing Hardware
You ask your agent to assess error reports and recommend if a component needs replacement.
Prepare Incident Documentation
You ask your agent to summarize the troubleshooting process and outcome for a recent issue.
How to hire your agent
Connect your tools
Link your existing system monitoring, log management, and access management tools used for network and system administration.
Tell your agent what you need
Type, 'Analyze the last 24 hours of server logs and tell me why users can’t access the shared drive.'
Agent gets it done
Receive a detailed report with root cause analysis, recommended troubleshooting steps, and documentation for your records.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Analyze System and Network Logs
Pulls log files from Splunk or Windows Event Viewer, identifies error patterns, and summarizes root causes for quick review.
Generate Troubleshooting Instructions
Creates step-by-step remediation plans based on the specific issue, referencing Cisco IOS or VMware KB articles as needed.
Summarize Incident Reports
Compiles user-submitted tickets from Jira and diagnostic data into a clear incident summary for escalation or recordkeeping.
Flag Hardware for Replacement
Monitors recurring failure events and recommends when to replace network switches or server components, listing affected assets.
Document Resolutions Automatically
Drafts a detailed incident resolution log for Confluence or SharePoint, including actions taken and final outcomes.
AI Agent FAQ
Yes, the agent can process logs exported from Splunk, Graylog, or Windows Event Viewer. You upload the relevant files, and the agent analyzes them without direct system access.
The agent reads log formats from Cisco, Juniper, and Palo Alto devices. As long as you provide the exported logs, it can interpret the data regardless of vendor.
All uploaded logs and incident details are encrypted in transit using TLS 1.3. No data is stored after processing, and you control what information is shared at every step.
Your AI agent can analyze incidents from different offices as long as you provide the relevant data. Multi-location support is included—just upload logs for each site.
The agent provides analysis and recommendations but cannot access live systems or perform physical repairs. It currently handles English-language logs; support for other languages is planned.
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