For Managed Service Providers

Scale support quality without scaling headcount

SuperIT resolves IT incidents and service requests across your clients, around the clock. End users get consistent support while your engineers focus on work that grows the relationship.

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An MSP engineer focused on scaling exceptional client support

Growth should not make support less personal

You can't hire fast enough

Every new client means another tech. Finding and training them takes months you do not have.

Quality varies wildly

Your best tech delivers great service. Your night shift? Clients notice the gap.

Margins are shrinking

Labor costs eat into every contract. Scaling means lower profits or higher prices that lose deals.

Built for managed service providers

Multi-tenant by design: one platform, many clients, each configured the way you run them.

Multi-tenant architecture

Isolated tenants per client. One client's data never appears in another's context or responses.

Per-client configuration

Different allowlists, Skills, routing rules and branding per client, without separate deployments.

Per-client usage tracking

See consumption by client for billing, margin analysis and capacity planning.

White-label support

Present the agent under your brand where end users interact with it.

Where the industry is heading

From managed services to managed intelligence

The MSP industry is renaming itself around a real shift: from managing infrastructure and tickets to managing the intelligence layer of a client's business. Call it a Managed Intelligence Provider or keep calling it an MSP. The substance is the same. Clients now expect their IT partner to lead them into AI safely, and the provider who has done it already wins the relationship.

SuperIT is the system of intelligence underneath that shift. The agent absorbs day-to-day resolution work, so your engineers get hours back for the advisory work clients are asking for. Running SuperIT also gives you a credential no slide deck can: agentic AI operating safely in production, under your policies, with a full audit trail. You can lead from the front because you already are.

What you get day to day

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

Triage every new ticket

Classifies the request, sets the right priority and starts work as soon as it reaches the service desk.

Investigate with full context

Pulls together Skills, knowledge, ticket history, the Digital Twin and live data from connected systems.

Take approved action

Troubleshoots and resolves eligible work across endpoints and cloud platforms within the policies you set.

Help the end user in parallel

Responds immediately and helps the user self-resolve, limited to the data and actions they are allowed to access.

Escalate with the groundwork done

Gives the engineer the evidence, actions taken, working hypothesis and recommended next step.

Document the outcome

Writes clear internal notes, status, actions and outcomes back to your PSA automatically.

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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.

“When we started our MSP, support quality was excellent. It is SO hard to keep that consistency as our team gets bigger and we grow.”
MSP owner
“My techs are expensive, and half their day goes to basic fixes. We'd rather they spent that time improving our clients' businesses.”
MSP founder

Common questions

What is a Managed Intelligence Provider, and how does SuperIT fit in?

Managed Intelligence Provider (MIP) is the name the industry is settling on for where the MSP model goes next: from managing infrastructure and tickets to managing the intelligence layer of a client's business. That means deploying AI safely, governing what it can and cannot touch, and helping people get real value from it. Clients are driving the shift. Every MSP we speak to is being asked about AI by their customers. SuperIT is the system of intelligence underneath that move. It does the day-to-day resolution work autonomously, which gives your engineers their hours back for the advisory work clients are asking for. It also gives you something concrete to point to in those conversations: agentic AI running safely in your own production environment, with the policies, approvals, and audit trail to show for it.

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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