Solution
Your L1 techs spend hours gathering the background on tickets you've already solved. Triage runs the same way every time, across every client, without a senior engineer touching it — and nothing reaches a client environment without a named sign-off, so the liability stays with the person, not the AI.
One workflow
runs across every client — no cross-tenant mistakes, no rebuilding from scratch
A name on every change
so when a client or acquirer asks who approved it, you have an answer, not a shrug
A change log on demand
when an auditor asks what changed in a tenant, you pull a record — you don't rebuild one
The problem
Your techs are fast. But every repeat ticket still takes 20 minutes of background work before anyone touches it. Multiply that across 30 clients and it's where your margin disappears. And when a client escalates or an auditor asks what changed in their tenant, your team is reverse-engineering Slack and ticket notes instead of pulling a record.
Your best engineers are still the ones gathering the background on issues you've resolved a dozen times. Every hour they spend there is an hour you can't bill at senior rates, or an hour that pushes your headcount number up before your revenue justifies it.
If a technician uses a generic AI tool against a client's Microsoft 365 tenant and something goes sideways, the incident lands on your NOC documentation, and potentially on your E&O. "The agent did it" isn't a defensible answer on the call.
When a client escalates and asks for a change log, your team is reverse-engineering Slack messages and ticket notes. That's a compliance exposure and a client trust problem in the same moment.
If you're positioning your MSP for acquisition, or carrying clients with SOC 2 or ISO requirements, your operational documentation is part of your valuation. Reconstructed audit trails don't hold up.
What changes
Your L1 tech opens a ticket and the workflow has already pulled the relevant background, flagged the classification, and drafted the next step. So your senior engineer reviews a recommendation, not a blank page.
Every workflow moves through real steps: who's assigned, who approved, what ran, and what the output was. So you can hand a client a clean record instead of an explanation.
Every run logs the decision, the approver, and the output as it happens. When a client or auditor asks, you're not reconstructing history. You're pulling a record.
Your team handles more ticket volume at the same headcount. The human sign-off stays. The margin drain doesn't — and you're not the one explaining a change when something goes wrong.
How the workflow runs
A ticket or finding starts a run inside one client's environment. The workflow pulls the background, drafts the next step, and waits for a named technician to approve it. The action runs, the evidence captures, and the record is already there when a client or auditor asks what changed.
Walkthrough
Watch EtherAssist take a repeat ticket from L1 triage to approved action, with the change log captured along the way.
How we deliver it
If repeat tickets are where your senior hours are disappearing, start here. If you're not sure yet that triage is the bottleneck, book an operations workflow review — it surfaces where the hours are actually going before you commit. If the trigger is a licence gap, a device posture issue, or a Cloud PC finding that needs a named owner, start with the visibility side of the platform; the action handoff lands back here once someone signs off.
EtherAssist gives IT and compliance teams the speed of AI without giving up data control, auditability, or practical governance. It supports troubleshooting, scripting, documentation, policy work, and repeatable internal support workflows.
Where this fits
FAQ
The question isn't whether AI saves time. It's whether the time savings show up in your utilisation numbers, and whether you can defend every action it took to a client or an auditor.
It changes what your L1 and L2 techs can complete without escalating. When repeat tickets stop pulling senior hours into background-gathering, utilisation shifts and you handle more client volume before the headcount line moves.
No. Every action that touches a client environment goes through a named technician's approval. EtherAssist prepares the work; your team owns the outcome. That's deliberate, because the alternative lands on your E&O.
A general AI tool answers prompts. It doesn't know which tenant it's in, doesn't keep a record, and doesn't ask for approval. If something breaks, you're explaining a chat log to a client. EtherAssist runs inside the estate it was opened for and logs every step as it happens.
EtherInsights surfaces what's wrong across your client estates: licence drift, posture issues, Intune, Windows 365, and security findings. EtherAssist takes the ones worth acting on and turns them into a workflow with an owner, an approver, and a record.
Start here
Choose a ticket type, remediation step, or recurring compliance ask that keeps landing on senior techs. We'll map where the senior hours are going today, and what the workflow looks like once it's scoped, approved, and evidenced for every client estate.