Measure automation savings without double counting
Count distinct work, active human effort, exceptions and maintenance, then separate existing savings from a proposed scenario.
Role path / Automation & AI
Find the repeatable work, test it safely and count what it really saves.
For the person responsible for workflow automation and AI trials in an MSP, whether that is your whole role or one of several responsibilities.
Automate before you hire
What human review and maintenance will remain after this workflow runs, and have you measured them?
Test the repeatable work before opening a requisition, without confusing saved effort with judgment, coverage or a smaller payroll.
Compare repeatable workflows by input quality, error cost and review burden before testing one small candidate.
Use AI for summaries and drafts with explicit review points, protected inputs and a correction-rate record that includes rejected output.
Set prompt-data boundaries, check the exact account and tool documentation, and give staff an approved-use note with an owner and a stop route.
Count distinct work, active human effort, exceptions and maintenance, then separate existing savings from a proposed scenario.
Count distinct work, active human effort, exceptions and maintenance, then separate existing savings from a proposed scenario.
Test the repeatable work before opening a requisition, without confusing saved effort with judgment, coverage or a smaller payroll.
Compare repeatable workflows by input quality, error cost and review burden before testing one small candidate.
Use AI for summaries and drafts with explicit review points, protected inputs and a correction-rate record that includes rejected output.
Set prompt-data boundaries, check the exact account and tool documentation, and give staff an approved-use note with an owner and a stop route.
Design an authenticated knowledge agent that answers from a small approved procedure library and refuses unsupported or unauthorized requests.
Build a dry-run request-to-approval workflow with verified organization context, duplicate controls and a separately gated write stage.
Compare two fictional procedure revisions in a private, bounded draft workflow and produce a source-checked change note without rewriting policy automatically.
Produce an evidence-linked handoff from fictional ticket notes while preserving failed fixes, unresolved status and human authority over replies and changes.
Turn a discovered script or policy suggestion into a reviewed provenance record, a bounded lab plan and an evidence-based accept or reject decision.
For Owner, Tech lead, Automation & AI
For Automation & AI, Tech lead, Service manager, Service desk & technicians
For Service manager, Automation & AI, Service desk & technicians
For Service desk & technicians, Automation & AI, Tech lead, Cybersecurity
For Automation & AI, Service manager, Tech lead, Service desk & technicians
For Tech lead, Service desk & technicians, Service manager, Automation & AI
For Service desk & technicians, Service manager, Automation & AI
For Service desk & technicians, Tech lead, Cybersecurity, Automation & AI
Compare current workload with an automation scenario. Separate existing from proposed savings, include exceptions and maintenance, and record an owned next step.
For Owner, Service manager, Automation & AI, Tech lead
Contents & limits →