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From 'Botsitting' to Autopilot: Why Your Current Automation is Burning Out IT Staff

SA
AlertMonitor Team
June 10, 2026
5 min read

A recent article in The Register highlighted a frustrating reality for modern IT teams: British workers are wasting nearly six hours a week "botsitting"—fixing the mistakes made by AI tools and automation scripts that were supposed to save time. For internal IT departments and MSPs, this isn't just a statistic; it’s a Tuesday morning. You deploy a script to clear temp files across a fleet, and instead of reducing tickets, you accidentally delete a critical config file on a domain controller, creating an outage that takes four hours to fix.

The problem isn't automation itself. The problem is that most automation in the IT ops space is "dumb" and untested. It’s a fire-and-forget approach that lacks the safety nets required for production environments. When your RMM or monitoring tool triggers a script blindly, you aren't saving time; you're just shifting the work from manual maintenance to manual cleanup.

The Hidden Cost of Fragile Automation

In many MSPs and IT shops, the current workflow for automation is fraught with risk. You might use a standalone RMM (like NinjaOne or ConnectWise) to push a script, or a separate monitoring tool to fire an alert. These tools rarely talk to each other in real-time, and they certainly don't "test" the impact of an action before taking it.

Consider a common scenario: The Print Spooler service hangs on 50% of your Windows endpoints. Your monitoring system fires 50 alerts. Your techs spend the morning manually RDPing into machines or running a "fix it" script from the RMM console. If that script contains a logic error—perhaps it tries to stop the service but fails to check if dependent services are running—you now have 50 machines with a broken print subsystem.

This is the "botsitting" trap. Instead of engineering resilient systems, your senior engineers are stuck babysitting scripts, correcting "cock-ups," and validating that the automation actually did what it was supposed to. The silos between your monitoring, RMM, and helpdesk mean there is no feedback loop. The monitoring tool doesn't know the RMM script failed, so the alert stays open, or worse, the ticket auto-closes while the user is still unable to print.

Closing the Loop with Reliable Self-Healing

AlertMonitor approaches self-healing differently. We don't just give you a button to "run script" and hope for the best. We close the loop between detection and resolution using a unified intelligence engine.

In AlertMonitor, self-healing isn't a side feature; it's a core part of the alert workflow. When a threshold is breached (e.g., CPU > 90% for 5 minutes), the system doesn't just page a human. It first looks for an attached Runbook. These Runbooks can perform a variety of remediation tasks—restarting hung services, clearing disk space, rotating IIS logs, or triggering a webhook to reset a port.

Crucially, AlertMonitor introduces Canary Deployment Monitoring for your scripts and agents. Before a self-healing script rolls out to your entire fleet of Windows Servers or Linux endpoints, AlertMonitor validates it against a designated "Canary Group." If the script successfully resolves the issue on the test group without errors or unintended side effects, it is then promoted to the general fleet. If it fails, the system halts the rollout and alerts the engineering team. This prevents the accidental fleet-wide disruptions that turn automation projects into nightmares.

Practical Steps: Implementing Proactive IT Today

To move from reactive firefighting to proactive IT, you need to start small, test rigorously, and standardize your remediation scripts. Here is how you can apply this using AlertMonitor and standard scripting languages.

1. Start with Low-Risk Service Recovery

Don't automate patch management immediately. Start with non-critical services that frequently hang, like the Print Spooler or a specific background sync service. Create a Runbook in AlertMonitor that attempts a restart before paging a technician.

PowerShell Example (Windows Endpoints):

PowerShell
$ServiceName = "Spooler"
$Service = Get-Service -Name $ServiceName -ErrorAction SilentlyContinue

if ($Service.Status -ne 'Running') {
    try {
        Write-Output "Service $ServiceName is stopped. Attempting restart..."
        Restart-Service -Name $ServiceName -Force -ErrorAction Stop
        Start-Sleep -Seconds 5
        $VerifyService = Get-Service -Name $ServiceName
        if ($VerifyService.Status -eq 'Running') {
            Write-Output "Successfully restarted $ServiceName."
            Exit 0
        } else {
            Write-Output "Failed to restart $ServiceName."
            Exit 1
        }
    } catch {
        Write-Output "Error restarting service: $_"
        Exit 1
    }
}

2. Automate Disk Space Cleanup

One of the most common alerts for sysadmins is low disk space on C: drives. Instead of manually cleaning up temp folders, attach a script to your "Disk Space < 10%" alert that safely removes temporary files older than 7 days.

Bash Example (Linux Servers):

Bash / Shell
#!/bin/bash

# Define threshold in MB
THRESHOLD=1024
# Get current free space in MB on / (root)
FREE_SPACE=$(df -m / | awk 'NR==2 {print $4}')

if [ "$FREE_SPACE" -lt "$THRESHOLD" ]; then
    echo "Disk space critically low ($FREE_SPACE MB). Cleaning temp files..."
    # Remove .log and .tmp files older than 7 days from /tmp
    find /tmp -type f \( -name "*.log" -o -name "*.tmp" \) -mtime +7 -delete
    echo "Cleanup complete."
else
    echo "Disk space sufficient ($FREE_SPACE MB). No action taken."
fi

3. Use Canary Groups for Every New Script

Before you assign the scripts above to your "All Servers" group in AlertMonitor, create a "Canary Group" containing one or two non-production servers. Set your AlertMonitor policy to run the remediation script on the Canary Group first. Only if the script exits with code 0 (Success) and the alert clears should the logic be applied to the rest of the environment.

Conclusion

Automation shouldn't be a source of anxiety or extra work. By combining unified monitoring with tested, canary-approved self-healing runbooks, AlertMonitor eliminates the "botsitting" burden. You stop spending six hours a week fixing what your tools broke, and start spending that time on strategic initiatives that actually move the business forward.

Related Resources

AlertMonitor Self-Healing & Proactive IT AlertMonitor Platform Overview Book a Demo Self-Healing & Proactive IT Resources

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