STOP SOLVING THE SAME TICKET AGAIN.
This is a hypothetical example of my approach. It is not a delivered client project, a Commercial Networks result or a promised outcome.
A fictional repeat-ticket example connects service-desk evidence to detection, remediation and review.
(90 − 30) × 12 assumed minutes ÷ 60 = 12 hours per month, before maintenance overhead. All figures are fictional.
Simplified workflow illustration · no live systems connected
THE PROBLEM.
Imagine 90 eligible tickets per month for a recurring endpoint condition, each taking an assumed 12 minutes of technician handling. First establish whether they share a cause, rather than just a title.
HOW I WOULD APPROACH IT.
This is a hypothetical application of my method. I would sample tickets with engineers, define eligible cases and confirm a bounded remediation before proposing automation.
THE PROPOSED WORKFLOW.
Confirm a repeatable condition
Read resolution notes and identify device state. Separate cases needing human judgement and measure actual handling time.
Build a bounded workflow
Detect the condition, check prerequisites, run a limited action and verify the result. Escalate failures with useful logs.
Measure remaining work
Compare eligible tickets, repeat failures and manual handling after the pilot. Maintain the workflow as exceptions change.
MAKE IT TRUSTWORTHY.
Test a successful fix, failed prerequisites, an already healthy device and an unsuccessful action. Pilot within a small group and retain the previous configuration.
Controls that matter
- Defined eligibility
- Bounded changes
- Human escalation
- Post-action verification
- Maintenance ownership
WHY IT MATTERS.
If eligible tickets fall from 90 to 30 a month, at an assumed 12 minutes each, the fictional difference is 12 hours per month. Maintenance and investigation overhead must also be measured in a real business case.
AUTOMATE A VERIFIED FIX. NOT AN ASSUMPTION.
Disk-space alert optimisation
GOT SOMETHING
WORTH AUTOMATING?
Tell me where your RMM is creating work.
Let’s look at what could run better —
and how to get there.