L1 IT helpdesk
Resolves password resets, VPN and device issues directly in Slack — verified, fixed, logged. Anything deeper becomes a routed ticket with diagnostics attached, so engineers are interrupted only for engineering.
An engineer gets pulled off work
for every password reset.
The $200 context switch
Each 'quick reset' costs an engineer twenty minutes of rebuilt focus. Ten a day is a full-time engineer lost to resets.
Locked out means work stopped
The requester loses an hour waiting for a fix that takes ninety seconds — multiplied across everyone, every week.
No tickets, no patterns
Fixes happen in DMs and hallways. Nothing is logged, so the VPN issue that hit six people looks like six coincidences.
The reset took ninety seconds. The interruption cost an afternoon.
L1 resolves itself. L2 gets a real ticket.
- Identity checked — MFA prompt to the enrolled device, passed
- Known issue? No — no open incident matches
"Locked out after the password change — can someone reset me? I'm mid-demo at 10."
Verifies identity with an MFA prompt — then resets, forcing a new password on next login.
- Resolved: 2 min — reset, verified, done before the demo
- Ticket auto-filed: category, asset, resolution — no form filled
You're back in — new password required on next login. Good luck in the demo.
Files the resolved ticket behind the scenes — the log exists even when no engineer was needed.
- Not L1: VPN fails only on the warehouse subnet
- Diagnostics attached: logs, subnet, affected users — gathered before routing
Creates the L2 ticket with diagnostics already gathered — the engineer starts at the problem, not at 'have you tried…'.
Tells the requester honestly: routed to network engineering, here's your ticket, expect an update by 2 PM.
- 84% resolved at L1 — resets, access, VPN restarts, printer queues
- Pattern flagged: six VPN drops, same subnet, same week
Clusters the week's tickets — the warehouse switch, not six flaky laptops, is the story.
L1 volume, deflection rate, and the one infrastructure fix that removes twenty future tickets.
Same requests. Engineers uninterrupted.
| Moment | Before Clarwiz | On Clarwiz |
|---|---|---|
| The reset | DM an engineer, wait an hour. | Ninety seconds in chat, identity verified. |
| The interrupt | Every request pulls a person. | 84% resolved with no human pulled. |
| Escalations | 'It's broken', forwarded raw. | Diagnostics gathered before the ticket lands. |
| The log | Hallway fixes, no record. | Every fix filed, even the chat ones. |
| Patterns | Six coincidences. | One flagged root cause, one real fix. |
How does it verify identity before a reset?
Which issues can it fully resolve?
Does it touch production systems?
Slack only, or other channels?
What do we need to integrate before a demo?
See this run on your own data.
Thirty minutes, nothing connected.
We take this process, connect nothing, and show you the run end to end on your real conversations and orders. When you're ready, go live at the autonomy level you choose.