Ticket noise
RMM-generated ticket volume, duplicate alerts, repeat reopenings, resolution notes and which tickets lead to a useful action.
Useful output
A shortlist of monitors to improve, consolidate or retire — with critical alerts protected.
AUDIT THE PLATFORM.
IMPROVE THE OPERATION.
Audit → Solution → Develop → Test → Implement → Monitor → Report.
A practical approach I would adapt to your MSP, your RMM and the way your engineers work. The first deliverable is clarity about what is worth fixing.
Repeat support work
Common incident categories, recurring device conditions, technician steps and customer-specific variations.
Useful output
Candidates for reusable workflows, ranked by frequency, effort, risk and repeatability.
Patching + compliance
Approval rules, deployment rings, failures, reboot debt, device scope, offline agents and reporting definitions.
Useful output
A trusted baseline and a recovery plan organised by failure cause.
Platform configuration
Client/site structure, groups, inherited policies, EDFs, schedules, scripts, exceptions and unused configuration.
Useful output
A clearer targeting model, documented exceptions and maintainable shared components.
RMM + PSA handover
Alert-to-ticket rules, deduplication, ownership, escalation context, closure and state reset.
Useful output
Tickets that tell an engineer what happened, what was tried and what to do next.
Security + reliability
Permissions, secret handling, logging, script ownership, change records, rollback and failure paths.
Useful output
A practical improvement backlog with safe deployment and maintenance built in.
AUDIT.
Understand the problem.
Review RMM usage, ticket patterns, alert quality, device scope and patching. Speak with engineers, sample resolutions and agree a baseline before changing the platform.
Inputs: platform inventory, ticket history, patch reports and engineer feedback.
Output: findings, root causes and a prioritised problem list.
SOLUTION.
Agree the right design.
Compare configuration changes, automation and process improvements. Prioritise by recurrence, effort, impact and risk. Define scope, success criteria, exceptions and ownership.
Inputs: audit evidence and your service priorities.
Output: an agreed solution, acceptance criteria and implementation plan.
DEVELOP.
Build reusable engineering.
Keep site-specific services and parameters in configuration. Develop detection, prerequisites, bounded actions, validation, useful logging and escalation paths. Plan rollback alongside the change.
Inputs: the agreed design, platform capabilities and customer requirements.
Output: maintainable workflows and supporting documentation.
TEST.
Prove the behaviour and targeting.
Test success, failure, existing installations, healthy devices and excluded scope. Use detection-only checks where appropriate, then pilot within a representative group and review results with engineers.
Inputs: test cases, pilot scope and a recovery route.
Output: test evidence, known exceptions and a rollout decision.
IMPLEMENT.
Roll out with control.
Deploy in agreed stages with change records, communication and rollback available. Confirm the right devices receive the right configuration and that another platform is not performing conflicting work.
Inputs: change approval, pilot evidence and deployment scope.
Output: a controlled rollout and a clear operational handover.
MONITOR.
Check the outcome keeps working.
Verify installation and remediation results. Monitor repeat failures, ticket quality, patch deadlines and exceptions. Escalate failures with context and maintain the workflow as the environment changes.
Inputs: execution results, device state, alerts and service-desk feedback.
Output: verified outcomes, exception ownership and follow-up actions.
REPORT.
Make progress visible.
Compare like-for-like periods and consistent device scope. Report actionable alerts, recurring tickets, patch compliance and handling effort, including maintenance overhead. Recommend the next improvement.
Inputs: baseline and current evidence using agreed measures.
Output: an understandable report, outstanding risks and the next priorities.
HOW I WOULD MEASURE SUCCESSBETTER SIGNALS.
BETTER SIGNALS.
DEFENSIBLE RESULTS.
Ticket quality
Duplicate volume, actionable alerts, recurrence, missed incidents and engineer handling time.
Patch reliability
Compliance against the same scope and deadline, failed jobs, reboot debt and approved exceptions.
Automation health
Successful verified outcomes, escalations, repeat failures, maintenance effort and ownership.
I establish your baseline before agreeing targets. Time-saving estimates use explicit assumptions and are checked against pilot evidence; they are never a substitute for measured results.
SEE THE WORKED SCENARIOSLET’S LOOK AT YOUR PLATFORMLET’S MAKE IT USEFUL
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.