This week, The Register profiled Intern 2 — a glowing, pyramid-shaped desktop appliance that runs personal agentic bots in an isolated environment, leaning on cloudy inference to 'automate your world.' The pitch: if a Mac mini running local agents feels like overkill, this consumer gadget will quietly handle your digital chores for you.
Cute. Genuinely — the industrial design alone deserves credit. But if you run IT for a living, read that summary again and notice what's missing: a fleet. A pyramid on one desk automates one user's world. You are responsible for 300 endpoints, 40 servers, a stack of switches and firewalls, and a helpdesk queue that never reaches zero.
Here's the uncomfortable part: the pyramid's actual design principles — isolated execution, scoped automation, audited actions — are exactly what enterprise IT teams have needed from their RMM tooling for a decade. Most still don't have it, not because the concept is exotic, but because their automation is smeared across five disconnected tools. This post is about closing that gap with AlertMonitor's built-in RMM, including scripts you can deploy this week.
The Problem: Your 'Agentic' Workflow Is 12 Tabs and a Prayer
Ask a sysadmin how automation actually works in their environment today and you'll get something like this:
- Monitoring (PRTG, Zabbix, Nagios, SolarWinds) sees the problem and sends an email or Teams message. It cannot act.
- Remote access (ScreenConnect, TeamViewer, plain RDP) lets a human act — but proactively watches nothing.
- Helpdesk (Freshservice, Jira Service Management, ConnectWise Manage) records what happened, but has zero telemetry. Tickets get closed with a note that says 'fixed.'
- Scripts — the real automation — live in a OneDrive folder or a wiki page. Whether one ran, on which machine, with what output: nobody can say.
These tools were built in different eras for different buyers. Monitoring came out of the NOC. RMM grew out of MSP back offices. Helpdesk came from ITIL. 'Integration' between them means webhooks, CSV exports, and hope.
What That Costs in Real Numbers
Scenario 1 — the 2 AM disk. File server file01 hits 100% disk at 02:10. The monitoring email lands at 02:14. Nobody sees it until 07:30. A tech remotes in, clears temp files and an oversized IIS log folder, and writes 'cleaned up disk' in the ticket. User-facing impact: five and a half hours of 'server is full' errors from one department. And it happens again in three weeks, because the cleanup was never automated.
Scenario 2 — the MSP math. One alert on a client firewall requires: the monitoring tab to acknowledge it, the RMM tab to remote in, the vendor's cloud portal to check the firewall, the helpdesk tab to log the work, and a spreadsheet for time. Call it 8 minutes of pure swivel-chair overhead per alert. At 60 alerts a day across your techs, that is a full workday burned on switching tabs.
Scenario 3 — the SLA fight. Your helpdesk reports a 12-minute average response time. Your monitoring history shows pages sitting unacknowledged for 40 minutes. Both numbers are 'true' because the systems do not share a clock — and your IT manager cannot produce an SLA report that survives scrutiny.
The human cost is the one that never makes the dashboard: technicians do not burn out on hard problems. They burn out on repeating the same five-step dance fifty times a week.
Credit where it's due: the pyramid gets one thing right. Automation needs a controlled environment and a complete audit trail. Scale that idea from one desk to an entire fleet, and you get scripted remediation inside an RMM that is wired directly to your monitoring.
How AlertMonitor Closes the Loop
AlertMonitor is built on a different assumption than the legacy stack: the tool that sees the problem should also be the tool that fixes it — or hands the fix to a human with full context.
Concretely:
- RMM is built in, not bolted on. Technicians remotely view and manage endpoints, run scripts across device groups, push software, and open remote sessions — from the same console where the alerts fire. No tab-switching between a monitoring console and a separate RMM product bolted on beside it.
- Script results feed back into monitoring data. Automated remediations and manual technician actions both land on the same device timeline as the alert that triggered them. When someone asks what happened on
file01at 2 AM, the answer is one query — not an archaeology dig across four systems. - Alerts can trigger remediation automatically. Disk at 90%? Run the cleanup script. Service stopped? Restart it and verify it stays up. If the script output shows the fix did not hold, escalate to a human — who opens a remote session in one click, already looking at the script output.
- Helpdesk lives in the same platform. The alert creates or updates the ticket, technician actions are logged against it, and SLA reporting comes from one data set instead of two systems that disagree.
- Patching closes the last gap. Compliance checks and deployments run from the same console, and a failed patch is just another monitored state — not a surprise you discover mid-outage.
The Same Incident, Two Ways
Fragmented stack: alert email fires (02:14) → human notices (07:30) → open the RMM, remote in → hunt for the cleanup script in OneDrive → run it manually → switch to the helpdesk to write the ticket → switch back to monitoring to close the alert. Roughly 40 minutes of work, three tools, five hours of user impact.
AlertMonitor: alert fires (02:10) → auto-remediation script runs → output logged to the device timeline → alert auto-resolves with evidence attached → ticket updated automatically. Under five minutes, zero humans — and if a human is needed, they start with full context instead of a vague email.
Practical Steps: Ship Your First Automated Remediations This Week
Step 1: Find Your Repeat Offenders
Pull your alert history for the last 90 days. Any alert that has fired three or more times and was resolved the same way each time is a scripted-remediation candidate. For most teams, the list is dominated by disk space, services that crash, and print servers that need a weekly restart.
Step 2: Build the Scripts
Disk check and cleanup across Windows servers — the classic 2 AM pager, solved:
$servers = 'file01','sql01','app01'
Get-CimInstance -ComputerName $servers -ClassName Win32_LogicalDisk -Filter 'DriveType=3' |
Select-Object @{n='Server';e={$_.PSComputerName}},
@{n='Drive';e={$_.DeviceID}},
@{n='FreeGB';e={[math]::Round($_.FreeSpace/1GB,1)}},
@{n='FreePct';e={[math]::Round(($_.FreeSpace/$_.Size)*100,1)}} |
Where-Object { $_.FreePct -lt 15 } |
ForEach-Object {
Write-Output ('ALERT: {0} drive {1} at {2}% free - running cleanup' -f $_.Server, $_.Drive, $_.FreePct)
Invoke-Command -ComputerName $_.PSComputerName -ScriptBlock {
Get-ChildItem $env:TEMP -ErrorAction SilentlyContinue | Remove-Item -Recurse -Force -ErrorAction SilentlyContinue
Write-Output ('Temp cleanup complete on {0}' -f $env:COMPUTERNAME)
}
}
Service watchdog with verification — restart it, then prove it stayed up:
$services = 'Spooler','W32Time'
foreach ($name in $services) {
$svc = Get-Service -Name $name -ErrorAction SilentlyContinue
if ($svc -and $svc.Status -ne 'Running') {
Start-Service -Name $name
Start-Sleep -Seconds 10
$check = Get-Service -Name $name
Write-Output ('{0} was {1}, restarted to {2} at {3}' -f $name, $svc.Status, $check.Status, (Get-Date -Format 'HH:mm:ss'))
}
else {
Write-Output ('{0} is {1}' -f $name, $svc.Status)
}
}
Linux endpoint disk hygiene — same principle for your Ubuntu fleet:
#!/bin/bash
THRESHOLD=85
usage=$(df / --output=pcent | tail -1 | tr -dc '0-9')
if [ "$usage" -ge "$THRESHOLD" ]; then
journalctl --vacuum-time=7d
apt-get clean 2>/dev/null
echo "Cleanup executed. Root partition was at ${usage}%."
df -h /
else
echo "Root usage OK at ${usage}%."
fi
Step 3: Wire Them Into AlertMonitor
Assign each script to a device group in AlertMonitor, then bind it to the matching alert condition — a disk usage threshold, a service state, whatever the repeat offender is. Define what success looks like in the script output, and set an escalation path for when the script fails. Every run appears on the device timeline, and the associated helpdesk ticket updates itself.
Step 4: Keep the Audit Trail the Pyramid Promises
This is where the pyramid's 'isolated environment' idea translates directly: automation must be scoped and logged. Which script ran, on which devices, with what output, approved by whom. AlertMonitor's unified timeline gives you that by default — no separate log files, no tribal knowledge.
Step 5: Measure the Delta
Thirty days in, compare MTTR and after-hours page volume against your baseline. Teams that automate their top five repeat offenders typically watch those incidents drop from human-response to near-zero, and the recovered hours go to work that actually needs a human.
The Bottom Line
A glowing pyramid can automate one person's digital errands. Your job is harder: keep an entire environment — Windows and Linux endpoints, servers, network gear, printers — healthy, patched, and answerable to users. That is not a consumer gadget problem; it is a platform problem. When monitoring, RMM, helpdesk, and patching share one console and one timeline, agentic automation stops being a headline and becomes your Tuesday afternoon.
Related Resources
AlertMonitor RMM & Remote Management AlertMonitor Platform Overview Book a Demo RMM & Remote Management Resources
Is your security operations ready?
Get a free SOC assessment or see how AlertMonitor cuts through alert noise with automated triage.