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.

Autonomy configured per customer

You set the level of automation for each of your customers independently. The same agent can run read-only for one client, require a named approver for another and close autonomously for a third, with a human in the loop wherever you want one.

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".

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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.

Will SuperIT make our service feel like every other MSP using AI?

No. Your service model stays yours. SuperIT is designed to express your way of supporting clients at greater scale. You control how the agent communicates, which procedures it follows, what it can do without asking, when it should escalate, and where your people remain involved. It can work under your name and branding, or stay behind the scenes where you want the human relationship to remain front and centre. The aim is not to replace your service approach with ours. It is to make your best service more consistent across every client, engineer and shift.

Can we change how the agent speaks to our clients?

Yes. Your team can edit the prompts that guide the agent's voice, style and service behaviour. You can shape the language it uses, how concise or conversational it should be, how it explains technical work, and how it represents your support philosophy. A formal, process-led MSP should not sound like a relationship-led local provider, and neither should be forced into SuperIT's default voice. These communication settings work alongside your branding, Skills, routing rules and escalation paths, so the experience reflects more than a logo and colour scheme.

Is this more than white-labelling?

Yes. White-labelling changes how software looks. SuperIT lets you change how the service is delivered. Your brand and chosen name for the agent are one layer. Underneath that, you can configure its prompts, Skills, client-specific policies, approval requirements, routing rules and escalation behaviour. Those settings determine how SuperIT communicates, investigates, acts and hands work back to your team. The result is your operating model expressed through the software, rather than a generic bot with your logo attached.

How do we know SuperIT is delivering service our way?

Start narrowly, review the evidence, then expand. You can test SuperIT on past tickets, begin with one client, and run in a conservative mode before enabling autonomous actions. Its conversations, proposed actions, policy decisions, approvals, results and ticket updates are recorded for review. That gives your service team something concrete to assess: whether the language sounds right, whether the correct procedures were followed, whether handovers meet your standards, and whether the outcome was properly verified. Prompts, Skills and policies can then be refined before you widen the rollout.

Can we keep people involved where the relationship matters?

Yes. SuperIT is not intended to remove people from every interaction. You can keep your team involved where empathy, judgment, commercial context or an established client relationship matters. End users can ask for a person, and SuperIT escalates when it reaches the limits of its permissions or confidence. The engineer receives the conversation, evidence, diagnostics and actions already taken, so the user does not have to start again. SuperIT handles the repeatable execution while your people remain present for the moments clients remember.

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 autonomy do we have to give SuperIT?

Exactly as much as you are comfortable with. Most teams start conservatively. SuperIT can begin with read-only diagnostics, private notes and engineer approval. As you build confidence, you can allow selected actions to run automatically while keeping sensitive changes behind named approvers. Every action falls into one of three outcomes: allowed, approval required or denied. Anything that does not match a known policy fails safely to approval. Some system-level restrictions cannot be weakened, even by an administrator. You decide where autonomy helps your service and where a person should remain responsible.

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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