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Why ResolvCmd

Your team is wasting hours every day.

Senior techs interrupted constantly. Junior techs Slacking instead of resolving. New hires taking 90 days to ramp. Knowledge stuck in heads instead of helpdesk. The documentation exists. The delivery is broken.

Here's what changes when ResolvCmd reads your docs and delivers source-cited resolutions inside every ticket.

A typical L2 ticket

A VPN connection drops after MFA enrollment.

Your tech has seen this before, maybe six months ago. There's a doc for it. They search Hudu for "VPN MFA." Four results, none right. They try "VPN credentials post-enrollment." Nothing. They Slack Sarah. Sarah's in the middle of a server migration.

Nine minutes gone. The client is still waiting. The doc existed the whole time.

rc> resolve

ticket: VPN drops after MFA enrollment

RESOLUTION · HIGH CONFIDENCE

  1. Confirm the user's account joined the MFA-enforced security group [SOP-MFA-007]
  2. Push the updated RADIUS profile so the VPN gateway sees the new claim [SOP-VPN-MFA-014]
  3. Force the VPN client to re-authenticate (Disconnect, then Reconnect) [KB-AZURE-042]
  4. If still failing, check Conditional Access exclusions for the VPN app [KB-CA-022]

Sources: Hudu · Confluence · IT Glue  ·  under 5 seconds

Same documentation, surfaced inside the ticket. No search. No Slack. No interruption.

Why existing tools don't solve this

Helpdesk AI deflects customers. Zendesk Fin, Intercom Fin, Salesforce Einstein. They auto-reply to customers from public help articles. Wrong audience for your IT team.

Generic AI doesn't know your stack. ChatGPT, Microsoft Copilot, Glean. They work in demos and fall apart on your real corpus. The AI cannot use your IT Glue, Hudu, or Confluence well enough. The team stops trusting it.

Knowledge bases store but don't deliver. IT Glue, Hudu, Confluence. The articles are written. Nobody opens them when a ticket arrives. The library exists. The delivery is broken.

Internal AI requires building. RAG pipelines need infrastructure, accuracy tuning, evaluation, and operational maintenance most IT teams don't have time for.

Read: Why ChatGPT doesn't know your SOPs

We're not talking about password resets. L1 issues are already scripted. The real cost is L2 and L3: the complex, infrequent tickets where your documentation exists but your team can't find it fast enough.

The cost

What broken delivery actually costs.

Six numbers, six independent sources. The pattern is consistent across operations research over the last decade.

1.8 hrs/day
per tech, spent searching for information
McKinsey Global Institute
23 min
to recover focus after a colleague is interrupted
UC Irvine, Gloria Mark
42%
of operational knowledge lives only in people's heads
Panopto / YouGov
$6 → $35+
ticket cost jump when an L1 escalates to L3
Unthread
46%
of tickets require multiple lookups across tools
Unthread
73%
of organizations have no enterprise search tool at all
Slite 2025 Enterprise Search Survey

What's it costing you?

Plug in your numbers. The calculator uses industry benchmarks for search time and lookup frequency to estimate what your team could save.

Across your team of 8

Hours saved per week

36.4 hours

Monthly savings

$5,532

Annual value

$66,383

Based on industry benchmarks from McKinsey, IDC, and Unthread. Your actual results will vary.

Before / after

The same ticket, two outcomes.

Comparison of ticket resolution with and without ResolvCmd
Aspect Without ResolvCmd With ResolvCmd
Tech gets an L2/L3 ticket Search Hudu, fail. Search Drive, wrong version. Slack a senior tech. Wait. Resolution appears in the ticket sidebar. Structured steps, sourced.
Time to resolution info 7-10 minutes (if it gets found) Under 5 seconds
Senior tech interrupted Yes. 23 min recovery cost. No
Resolution consistency Depends on who's working Same steps every time
Knowledge captured Stays in the senior tech's head Documented, sourced, reusable

Knowledge Studio

And the docs that don't exist yet?

ResolvCmd doesn't just deliver your documentation. It shows you where it's missing. Knowledge Studio detects gaps from real resolution data, then helps you build the docs that should exist.

Fewer gaps. Better resolutions. Less searching. Lower cost per ticket.

Gap detection

Knowledge Health surfaces missing docs

Documentation created

From real resolution data

Better resolutions

Higher confidence, broader coverage

Lower cost per ticket

Less searching, fewer escalations

See what your own tickets look like with ResolvCmd.

Connect your docs. Get your first resolution in under 10 minutes.

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