TwinDesk Solutions | See It Work, Meet the Team, Model the Value

TwinDesk Solutions

The overview explains it. This page shows it.

The questions every IT leader asks next: which tickets does automation actually take, what happens when one goes wrong, who picks up the work it cannot close, what makes it stop and ask permission, and what is any of this worth against my own volume.

Under 2 min
median time to resolve a production incident
1,130+
certified engineers on the delivery bench
Zero
idle time. You pay for resolved tickets, not for seats or hours

What lands where

Which tickets automation closes, and which reach a person

The split is not arbitrary. Automation takes the work where the steps are known and the blast radius is small. Anything that needs judgment, or that could break something if it went wrong, routes to an engineer with the diagnosis already attached.

Common ticket types, the resolution path each follows, and who closes it
Ticket type Typical resolution path Closed by
Password and MFA reset Verify identity, reset credential in the directory, confirm sign-in, notify the user Automation
Account unlock Check lockout source, clear the lock, confirm authentication, close the ticket Automation
Software install and license Check entitlement, assign the license, trigger deployment, verify install Automation
VPN and connectivity Read client logs and gateway state, isolate the cause, apply the known fix, test the tunnel Automation
Disk space and service restart Identify the consuming process, clear safe paths or restart the service, confirm health Automation
Access and group membership Confirm entitlement against policy, draft the change, pause for approval, then apply and verify Automation + approval
Onboarding and offboarding Run the runbook across directory, mailbox, apps and devices, pause on privileged steps Automation + approval
Production change Diagnose, draft the runbook, hold for a named approver, execute and verify on approval Automation + approval
Multi-system incident Automation gathers evidence across systems and correlates it, then hands a completed investigation to an engineer Engineer
Root cause and problem management Recurring incidents are analysed and engineered out so the ticket stops coming back Engineer

Note. These are representative of the ticket types most enterprises start with, not a fixed list. Which categories automation takes on day one depends on your own ticket mix, which is what the scoping conversation establishes.

TwinDesk in action

A 4 a.m. incident, resolved without waking the team

A production database node spikes to 98% CPU. Nobody has noticed yet. Here is what happens next, and where the on-call engineer comes in. Press play, then make the call yourself.

INC0092447 · P1 · Production DB node — CPU at 98%
02:03:14
02:03:14Alert fires
02:03:31Auto-diagnose
02:04:06Human approval
02:04:52Verify and close
Based on a production incident resolved through TwinDesk.
45 min → under 2 min
mean time to resolve
1
human click required, on a phone, from bed
0
unauthorized changes made to production

Who handles what automation cannot

There are real engineers behind the service

The Human Ops Desk is not one team on a rota. It is a certified bench spanning every core IT discipline, and it is where every ticket automation cannot close ends up.

ValueDX delivery bench by service area, resource level and certified headcount
Service area Resource levels Key skills Certified strength
IT infrastructure L1, L2, L3, SME, Lead Windows Server, Linux, Unix, VMware, Oracle DBA, SQL DBA, Storage, Backup, Data Center Ops, ITSM
450+
Application support L1, L2, L3, SME, Technical Lead Application Support, Middleware, Production Support, SQL, IIS, WebLogic, Tomcat, Monitoring, Service Desk
300+
Networking L1, L2, L3, SME, Network Lead Cisco Routing & Switching, LAN/WAN, SD-WAN, Wireless, Firewall, VPN, DNS, DHCP, NOC, Load Balancer
180+
Cloud L2, L3, SME, Lead, Cloud Architect Microsoft Azure, AWS, Azure DevOps, AKS, Docker, Kubernetes, Terraform, IaC, CI/CD, Cloud Migration
120+
Cyber security L1 SOC, L2 Analyst, L3 Engineer, SME, Security Lead SOC, SIEM, Forcepoint DLP, IAM, Endpoint Security, Vulnerability Mgmt, Firewall, Incident Response, GRC
80+
1,130+
certified, deployable engineers across five disciplines
This is the pool Policy Guard routes approvals to, and the team that owns everything automation hands over.

The rules behind the pause

What makes TwinDesk stop and ask

A human-in-the-loop design is only as good as the rule that decides when to involve the human. Too loose and it executes things it should not. Too tight and your engineers are approving password resets all day. These are the conditions that hold a ticket at the gate.

The action is privileged

Anything touching admin rights, security groups, privileged accounts or directory objects that grant access. The automation drafts the change; a named person authorises it.

The action is irreversible

Deletions, terminations, destructive writes, anything without a clean rollback. If undoing it would itself be an incident, it does not run unattended.

Confidence is below threshold

When the diagnosis does not clear the confidence bar set for that ticket type, the automation stops rather than guessing. Thresholds are calibrated per category during shadow mode.

It falls outside policy or a change window

Production changes outside an agreed window, or any step your security policy does not permit unattended, are held regardless of how confident the automation is.

Why it matters

An engineer receiving a gate request is not starting from a blank ticket. They get the diagnosis, the evidence behind it, the exact action proposed and the policy verdict, which is why an approval is usually one click rather than a fresh investigation. Every gate decision, approved or refused, is written to the audit trail in your ITSM.

Value calculator

Estimate what this is worth on your volume

Set your monthly ticket count, what a ticket costs you today, and how much of the queue is repetitive. Because TwinDesk bills per resolved ticket, this is close to how the invoice actually behaves. Every assumption is written out underneath so you can check the arithmetic.

16,000
$21
60%

Assumptions. TwinDesk resolves an automated ticket at an assumed $3, the midpoint of the $1–5 range seen in delivered engagements. Savings are calculated only on the repetitive share of the queue, never the whole queue. Engineer capacity assumes 700 tickets per agent per month, with 80% of that effort removed rather than 100%, because approval time stays with your people by design. Hours returned assume a 160-hour working month. Figures are indicative and are confirmed against your own ticket data during scoping.

Estimated annual saving
$0
on the repetitive share of the queue only
What that share costs you today
$0
annual spend on the tickets automation would take
What it would cost through TwinDesk
$0
billed on resolved tickets, nothing for idle time
Cost per ticket, today and with TwinDesk
$21 → $3
86% lower per automated resolution
Tickets moved off your team each year
0
handled by automation instead of an engineer
Engineer capacity released
0 FTE
redeployable to projects and root-cause work
Engineer hours returned each month
0 hrs
assumes a 160-hour working month per engineer

Next step

Bring us your ticket data and we will show you the numbers

The calculator above is a model. A short conversation about your actual queue, what comes in, what it costs you and which parts automation can take off your team immediately, gets you a real figure. No obligation, and no slide deck unless you want one.