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SuperIT vs Neo Agent
Autonomous AI technician
Neo and SuperIT want the same outcome and get there differently, and the difference is configuration. Neo is built around defined workflows and individual agents set up for specific tasks, with scheduling to match. That is genuinely powerful when the work is known and repeatable, and it means the setup is yours to do up front. SuperIT is agentic first. Engineers talk to it the way they would talk to any AI, it can work from your tickets, and it reasons its way through a problem rather than following a flow you defined in advance. That means less to configure, faster to stand up, and far better odds on the incidents nobody anticipated. Its own endpoint agent and Digital Twin are what make that possible, and it curates your knowledge base as it works. Neo is the better fit if tightly scoped, scheduled workflows are what you need. If the queue is full of things you could never have scripted, that is SuperIT.
At a glance
| Dimension | SuperIT | Neo Agent |
|---|---|---|
| Triage & ticket prep | Full AI triage and ticket preparation, informed by live device state as well as ticket history. | Triages tickets and checks similar ones, playbooks and documentation before acting. |
| Resolution model | Reasons through the incident; engineers can just ask it in chat. No workflow defined in advance. | Runs the workflows and agents you configure, plus scheduled proactive work. |
| Setup & configuration | Connect the PSA, deploy the endpoint agent, set autonomy per customer. Little to define up front. | Individual agents and workflows configured per task, with scheduling to match. |
| Device & environment context | SuperIT endpoint agent alongside your existing RMM, feeding a live Digital Twin. Native Microsoft 365 and any public API. | Queries RMM, IdP, M365 and docs during ticket handling; no proprietary device twin. |
| Knowledge | Knowledge base curated live as the agent works, plus your Agent Skills. | Reads your existing playbooks and documentation; no live curation. |
| Stack alignment | Works with your existing PSA and RMM, and with anything exposing a public API. Nothing gets replaced. | Also an overlay on your PSA and RMM, with a broad published integration list. |
| Human role & approvals | Autonomy set per customer, from read-only to autonomous, with a human in the loop wherever you want one. | Propose, approve or autonomous per action, with None, Read or Write per tool. |
What Neo Agent is
Neo is an AI technician for MSPs, built around configured agents and defined workflows. It reads tickets, checks similar ones, playbooks and documentation, makes decisions, runs fixes and closes the loop. It works reactively from tickets and alerts, and proactively on scheduled audits, QBR reports and SLA sweeps. Neo positions against legacy RPA: the workflows are yours to define, but you do not need a dedicated automation engineer to build them.
Neo Agent strengths
- Genuinely capable on defined, repeatable workflows, with individual agents scoped to specific tasks.
- Scheduling is first class, so proactive audits, QBR reports and SLA sweeps run on their own cadence.
- Broad published integration surface: PSA, RMM, IdP, distributors (Pax8), docs and proactive ops.
- Mature human-in-the-loop controls: propose, approve or autonomous per action; None/Read/Write per tool.
- An Automation Report on day two that ranks automation opportunities from PSA history.
Honest limitations
- Workflows and agents have to be defined up front, so the setup effort lands before the value does.
- No first-class native chat for engineers, so it is less useful as the thing a technician just asks.
- Coverage is as good as the workflows you built, which makes unanticipated incidents harder to serve.
- No live knowledge base curation, so documentation stays a separate job.
- Credit plans are sized for steady volume, so a low-volume shop pays for headroom it does not use.
- SOC 2 Type II still in progress (Type I complete per Neo).
Resolution model
SuperIT: SuperIT reasons through the incident rather than following a flow you defined in advance. Engineers can simply ask it, in chat, the way they would ask any AI, and it can pick work up from your tickets. It investigates, executes approved fixes, verifies and closes.
Neo Agent: Neo runs the workflows and agents you configure: it triages, executes L1 playbooks like password resets, MFA and onboarding, runs RMM scripts, logs time and closes tickets. Proactive agents handle scheduled operational work.
Same destination, different route. Neo is strongest where the work is defined in advance. SuperIT is strongest on the unknown unknowns, because nothing had to be anticipated for it to try.
Setup & configuration
SuperIT: Less to configure. Connect the PSA, deploy the endpoint agent, set the autonomy level per customer, and it works from there. Knowledge base curation happens live as the agent works, rather than as a project.
Neo Agent: Individual agents and workflows are configured for specific tasks, with scheduling set to match. Powerful once built, and the building is up front.
This is the real decision between these two. If you want to define the work precisely, Neo rewards that. If you want it working quickly and generalising to whatever arrives, SuperIT is the lighter setup.
Workflows & automation
SuperIT: SuperIT has a PowerShell execution environment with approval workflows, so engineers can build and run scripted actions inside the same safety pipeline as everything else, and expose them to Level 0 support or end users.
Neo Agent: Neo's strength is the configured workflow and the scheduled agent, which is the core of the product.
Both do workflows, from opposite directions. Neo starts from the defined flow. SuperIT starts from the conversation and drops into a governed PowerShell environment when a scripted action is the right answer.
Device & environment context
SuperIT: The SuperIT endpoint agent runs on Windows, macOS and Linux alongside the RMM you already have, and feeds a live Digital Twin: a continuously updated model of devices, network, identity and services and how they relate. Native integrations with Microsoft 365 and with any platform that exposes a public API add the rest of the context, and the actions to go with it.
Neo Agent: Neo queries RMM, IdP, M365, and docs in parallel during ticket handling. Strong API orchestration; device data comes from integrated tools rather than a proprietary twin layer.
Neo is strong on orchestration across tools. SuperIT runs its own endpoint agents, so stale GPO, Wi-Fi roam and profile corruption are visible to it. Those faults are invisible to anything reading only tickets and documentation.
Stack alignment
SuperIT: Works with your existing PSA and RMM: ConnectWise, Autotask, Halo, Syncro and others.
Neo Agent: Overlay on your PSA and RMM, similar model; Neo publishes a broad integration list.
Migration is not the deciding factor between these two. Depth of environment context and how you get billed are.
Human role
SuperIT: You set the level of autonomy per customer. 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. It is configured to the service provider and to each of their customers, not set globally by us.
Neo Agent: Configurable per action: propose, approve or fully autonomous, with None, Read or Write per tool. Technicians stay in control with logged, reversible actions.
Both are genuinely configurable. The difference is that SuperIT's autonomy is set per customer, so one provider can run different levels of automation across a whole client base from one place.
Time to value
SuperIT: Set up and running in an hour, working tickets to resolution within 24 hours. Most customers reach significant automation within a month, once the third-party integrations are connected and the workflows are tuned. SuperIT also produces an Automation Report per customer and per service provider.
Neo Agent: Markets live in two hours, with a day-two Insights Report ranking automation opportunities from PSA history.
Close to parity on the artefact, since both produce an automation report from your own history. The difference is what happens after it: Neo's value follows the workflows you then build, where SuperIT is already working tickets.
Channels
SuperIT: Slack, Microsoft Teams, email through your ticketing system, web chat, and embedded in your existing customer portal such as CloudRadial or Desk Director. Engineers get the same agent in an interactive chat.
Neo Agent: Microsoft Teams, with an optional end-user bot and phone agent.
Neo packages more channel SKUs. SuperIT spends that effort on resolution depth, because a channel only helps if something at the other end can finish the job.
Trust & controls
SuperIT: Allowlist and blocklist policies, approval workflows, no-go zones, full audit logs and per-tenant isolation. ISO 27001, SOC 2 Type II and ISO 42001 are all in progress.
Neo Agent: None/Read/Write per tool, test mode, propose/approve/autonomous modes, SOC 2 Type I (Type II in progress).
Neo's permission granularity is mature and worth crediting. SuperIT pairs the same kind of gating with a Digital Twin boundary, so what an agent may touch is bounded by the environment itself.
Choose SuperIT if…
- The tickets that hurt are the ones nobody anticipated, so a generalised agent beats a defined workflow.
- You want engineers to just ask the agent, in chat, rather than configure an agent for the task first.
- You would rather what you pay track the outcomes delivered, triage, investigations, resolutions, knowledge and insights, than credits consumed.
- You want the knowledge base curated as the work happens rather than maintained separately.
- You want less to set up before it starts working.
Where Neo Agent stops short
- Workflows and agents must be defined before they deliver, so the effort comes before the value.
- There is no first-class native chat for engineers to work through.
- It reasons from tickets, playbooks and documentation rather than from live device state.
- It does not curate your knowledge base as it works.
- Credit plans are sized for steady volume, so a low-volume shop pays for headroom it does not use.
Common questions
Neo Agent vs SuperIT: how do I decide?
Decide on how you want the work defined. Neo is built around workflows and agents you configure for specific tasks, on a schedule. If the work is known and repeatable, that is a real strength. SuperIT is agentic first: engineers ask it in chat, it reasons through the problem, and its endpoint agent and Digital Twin let it investigate what is actually happening. Less to configure, faster to start, and much better on the incidents nobody anticipated.
Can we run Neo and SuperIT together?
Yes, and some MSPs should. They are strong in different places. Neo can keep the defined workflows and scheduled operational work it is built for, while SuperIT handles incidents, engineer chat and the long tail nobody scripted. SuperIT integrates with anything that exposes a public API, so the two coexist without a fight over the PSA.
How is SuperIT different from Neo?
Three things. SuperIT reasons rather than following a configured workflow, so there is far less to set up and it handles what you did not anticipate. It runs its own endpoint agent and Digital Twin, so it diagnoses from live device state rather than from tickets and documentation. And it curates your knowledge base as it works, which Neo leaves as a separate job. SuperIT also has a PowerShell execution environment with approval workflows for the times a scripted action is the right answer.
See how SuperIT works in your environment
The best comparison is your own queue. Book a demo and we'll walk through the ticket types that matter to you.