For Internal IT Teams

Handle more tickets without adding headcount

SuperIT resolves IT incidents and service requests for your employees, safely and around the clock. End users get consistent support while your team focuses on work that moves the business forward.

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An internal IT engineer working through the ticket queue

The ticket queue keeps growing. Headcount does not.

Your team is drowning in L1 tickets

Password resets, printer issues, VPN problems. Engineers spend all day on basic requests.

After-hours coverage is a nightmare

Users need help at 2 a.m. On-call rotations burn out your best people.

Budget is frozen, tickets keep growing

No headcount approved, but the company keeps hiring. You need to do more with the same team.

Designed for internal IT teams

Same platform, tuned for a single organisation and its departments.

Employee directory integration

Know who is asking, their department, manager and device assignments.

Department-aware routing

Route escalations to the right team based on issue type, location or org unit.

Onboarding and offboarding

Handle account provisioning, access requests and leaver workflows from the same agent.

Maintenance awareness

Respect change windows and scheduled maintenance. Don't troubleshoot what is already known to be down.

What you get day to day

Level 0 support works each eligible ticket from intake to resolution, with your team in control.

Immediate response, 24/7

Every ticket gets attention as it arrives. No queue wait and no after-hours roster for routine work.

Autonomous resolution

SuperIT investigates and resolves eligible incidents and service requests within the policies you set.

Full-context escalation

When judgment is needed, the ticket reaches an engineer with the evidence, actions taken and recommended next step.

Clean PSA write-back

Status, notes, actions and outcomes are written back automatically, keeping your PSA accurate.

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Safe autonomy, under your control

You decide what SuperIT can and cannot do. Every action is governed by the policies and approvals you set.

Supervised by default

Pilots start conservative: read-only diagnostics, internal notes, engineer-driven. Autonomy expands only as you switch it on, at the pace you are comfortable with.

Inherits the user's permissions

The agent acts as the signed-in user it is helping. It can never do something that person couldn't do themselves. Targeting admin accounts is rejected outright.

Allowlist & blocklist controls

You define exactly what the agent is allowed to do. Everything else is off-limits by default. Anything unrecognised fails safe to "needs approval", never to "run it".

Approval workflows

Sensitive actions require explicit sign-off. Nothing high-risk happens without a human saying yes.

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In their own words

Representative comments from leaders we have spoken with.

“I've got fifty open tickets just waiting on clients who never reply. We lose 45 minutes to an hour, per tech, per day, just chasing people!”
Service desk lead
“Triage is fine. But where's the button where it just does it?”
IT manager

Common questions

What is the SuperIT device agent, and does it replace my RMM?

It does not replace your RMM. It runs side-by-side with it. Our own AI agent (lightweight and available on Windows, Mac and Linux) gathers rich technical detail in an AI-friendly way, which is what feeds the Digital Twin and lets SuperIT safely see and help fix things on the actual machine. It also lets SuperIT run commands on the device in real time, protected by our security pipeline. These are not pre-defined scripts; the agent chooses the right command for the exact moment and we check it before it runs.

What is the Digital Twin?

The Digital Twin is a live knowledge graph of your environment (users, devices, hardware, applications, networks, and how they all relate) with key metrics snapshotted over time. It is how the agent perceives the environment the way a seasoned engineer would, so it can reason about the real issue instead of guessing. Because it tracks patterns over time, it can answer things like "what changed" or "what was running when this started".

Where does the agent's knowledge come from?

On top of the frontier models' general IT knowledge, SuperIT builds a living library of "Skills" from the highest-signal source we have found: your tickets. Resolved tickets and their notes are often a more accurate picture of how your environment really works than a knowledge base that has gone stale. Every night it "dreams", distilling new learnings from conversations and tickets back into the knowledge and flagging anything outdated. It does not need to be 100% perfect to be effective, because the agent can only ever do what you have allowed it to.

What happens when the agent gets it wrong, or isn't sure?

Uncertainty handling is designed in, because an AI that always has an answer is an AI you cannot trust. When SuperIT is not confident, it does not guess: it gathers more signal, asks a clarifying question, or escalates to your engineers with everything it has found so far. Every fix is verified after it is applied. SuperIT checks the issue is actually resolved before telling anyone it is, and a ticket is never closed on an unverified answer. If something does go wrong, the blast radius is bounded by design: the agent runs with the permissions of the user it is helping, higher-risk actions sit behind approvals, and the audit trail shows exactly what was proposed, approved, and executed, so you are never reconstructing events from memory.

Our documentation is out of date. Won't the AI just cite the wrong procedure?

Stale documentation is how AI tools lose a room, so we built around it. SuperIT grounds its troubleshooting in the Digital Twin (the live state of the actual device and environment) rather than what a document says should be true. The Skills it executes are curated and validated, not improvised from whatever a search index returns; if no skill fits the situation cleanly, it escalates rather than freelancing. The knowledge is continuously maintained too: resolved tickets feed back into the library every night, and anything that looks outdated is flagged for review rather than silently reused. Knowing when not to answer is part of the design.

How cleanly does it write back to our PSA?

This is make-or-break for any tool in our category, and we treat it that way. SuperIT works inside your PSA from the first message: it picks up or creates the ticket, keeps status and priority current, writes proper notes as it works, records what was run and what the outcome was, and closes with documentation your engineers would be happy to find six months later. Escalations land as fully-investigated tickets with the evidence attached. Your PSA stays the system of record. We just make what is in it more accurate.

How much does it do on its own versus asking a human first?

You decide, and it ramps up as you get comfortable. Pilots usually start conservative (internal notes only, engineer-driven), then progressively enable more autonomy. Sensitive actions run behind an approval matrix (for example, a password reset on a global-admin account must be approved by a named group). If there is any risk of going in circles, it escalates to an engineer rather than wasting the user's time.

How do end users interact with it?

Through the channels they already use: directly via your ticketing system, a web chat, a Microsoft Teams or Slack bot, or embedded in your existing customer portal (CloudRadial, Desk Director). We deliberately do not make people learn a new tool or change how they ask for help. The agent adapts its tone too: concise and non-technical for an end user, more technical for an engineer.
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See SuperIT on your service desk

Book a demo around your ITSM, identity stack and the ticket types your team most wants off the queue.

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