Running an MSP is a margin business. A technician who can look after 400 endpoints is worth far more than one who manages 150, and the difference is rarely talent. It is how much routine admin the tooling absorbs.
AI has moved into that gap quickly. The major remote monitoring platforms have shipped copilots, ticket summarisation and agents that act on alerts without a human. Some of it is genuinely useful; some is a marketing badge on a pricing page. This guide covers eight platforms for MSPs and small IT teams, with the AI each vendor documents today and the prices each publishes.
How these platforms were assessed
Every figure below comes from the vendor's own pricing page. Where a vendor publishes nothing, that is stated plainly rather than filled in with an estimate, because a wrong price is worse than no price. Tools are listed with the AI that is live, not the roadmap item.
1. Atera — AI Copilot bundled into every plan
Atera charges per technician rather than per device, so adding endpoints does not change the bill. AI Copilot is not a paid add-on: it is an included line item on every tier, and it summarises tickets, drafts scripts and suggests resolutions inside the ticket view.
MSP pricing runs from Pro at $129 per technician per month billed annually ($139 monthly), through Growth at $159 ($189 monthly), to Power at $209 ($249 monthly). The tiers separate on Mac and Linux support, concurrent sessions and custom reporting. Details: atera.com/msp-pricing.
Why it made the list: AI included rather than upsold, on a model that does not punish endpoint growth.
2. SuperOps — per-endpoint pricing with an agentic platform story
SuperOps positions itself as an agentic IT management platform rather than an RMM with AI bolted on, and it prices per endpoint. There is a 100-endpoint minimum, so it suits teams with a real book of business rather than a handful of small clients.
Prime starts at $1.50 per endpoint per month at 100 endpoints, falling to $1.40, $1.30 and then $1.20 as volume grows. Prime Plus is listed at $3.00 and discounted to $2.50 on a limited-time early-bird rate. Annual billing adds a further 15% discount. Rates: superops.com/pricing.
Why it made the list: a per-endpoint ladder you can model against client contracts first.
3. Syncro — agentic service delivery with an approval gate
Syncro's AI and automation area covers AI ticket summarisation, an MCP server for connecting the platform to external assistants, and agentic service delivery that the vendor flags as new. The agent acts only with approval, which matters when you are accountable for someone else's estate.
Core is $129 per user per month billed annually, or $159 monthly. Team is $179 annually or $209 monthly. Both include unlimited endpoints, and an enterprise tier is quote-only. A 14-day trial runs without a card. Pricing: syncrosecure.com/pricing.
Why it made the list: approval-gated automation is the honest shape for AI here.
4. Freshservice — the clearest AI add-on pricing in the category
Freshservice is service management for internal IT and support teams rather than an MSP-specific RMM, so it suits the internal-IT arm of a growing company. Its Freddy AI family covers a copilot inside the ticket, a customer-facing agent and deflection reporting.
Plans are $19, $49 and $99 per agent per month billed annually, with Enterprise on request. Freddy AI Copilot sits outside the plan as a $29 per agent per month add-on, and the deflecting AI agent is priced the same way. Add-ons: freshworks.com/freshservice/pricing.
Why it made the list: the AI is priced separately and visibly, so you can see what automation costs.
5. HaloITSM — flat per-agent service management with AI in the platform
Now served from usehalo.com, Halo competes with the enterprise ITSM incumbents and markets Halo AI as a core platform capability covering workflow automation and context-aware assistance, rather than a separate product line.
UK pricing is GBP 66 per agent per month billed annually, with a region selector that switches currency for the US, Canada, Australia, New Zealand, the eurozone, Brazil and India. The vendor advertises compounding licence discounts as customers pass revenue milestones. Pricing: usehalo.com/pricing.
Why it made the list: a published number and a region-aware calculator, rare in this market.
6. NinjaOne — patch automation driven by a device-learning model
NinjaOne's most interesting AI work sits inside autonomous patch management, which uses what the vendor calls Patch Intelligence AI to judge whether an update is likely to cause trouble across a fleet. Patch failures are expensive and repetitive, which makes that a defensible use of AI.
NinjaOne does not publish a plan table. Its pricing page states that device pricing runs as low as $1.50 per month at 10,000 endpoints, rising to $3.75 at 50 or fewer, and says the figure varies by region and product bundle. Any single number quoted elsewhere should be treated as unreliable. FAQ: ninjaone.com/pricing.
Why it made the list: AI aimed at an expensive failure mode rather than a chat window.
7. Splashtop AEM — low-cost endpoint management with an automation layer
Splashtop's autonomous endpoint management product sits alongside its better-known remote access tool and covers real-time patching, automations and device visibility. For a team already using Splashtop for remote sessions, adding management costs little next to a full RMM contract.
AEM is billed annually: a flat $1,188 for up to 100 endpoints, then per-endpoint rates falling from $0.99 to $0.69 per endpoint per month as volume climbs. Remote support is priced separately at $22 per month per concurrent-user licence. Rates: splashtop.com/autonomous-endpoint-management/pricing.
Why it made the list: entry pricing that lets a two-person shop adopt managed tooling.
8. Auvik — network monitoring with an AI troubleshooting agent
Auvik covers the part of client infrastructure that endpoint agents cannot see: switches, firewalls and the topology connecting them. Its AI troubleshooting agent targets the first twenty minutes of a network incident, where most technician time quietly disappears.
Auvik publishes no price. Its pricing page is a request form, and the vendor states that competitors and AI tools show incorrect prices for its product. That warning is worth taking at face value: several roundups carry figures that appear nowhere on the vendor's own site. Enquiries: auvik.com/pricing.
Why it made the list: it fills a blind spot the rest of an MSP stack ignores.
Three more platforms where pricing is quote-only
Kaseya's 365 bundles and Intelligence Platform are widely deployed across MSPs, but its pricing URL returns a 404 and buyers are routed to a request form. ConnectWise markets AI agents, Sidekick and predictive intelligence, and asks for a form submission on every product line. N-able's AI assistant, N-zo, is the one to watch: the vendor's own status page describes it as a public preview, not general availability, and there is no pricing page to read.
Why none is scored above: no published number means nothing to compare.
What AI in MSP tooling still gets wrong
The gap between the demo and the Tuesday afternoon ticket is real. A copilot that summarises a ticket well can still draft a reply you would not want sent, and an agent that remediates an alert can be confidently wrong on a device holding payroll data.
Let AI handle the internal, reversible work -- summaries, script drafts, patch risk scoring, categorisation -- and keep anything touching a client's data or invoice behind human approval. Vendors that built the approval step in beat the best launch page.
How to choose without getting sold a demo
Start from your technician count, not your endpoint count. The two models produce very different bills at the same size. Atera and Syncro bill per technician, so device-heavy clients are cheap to add. SuperOps and Splashtop bill per endpoint, which suits wide, thinly supported estates.
Second, establish whether the AI you pay for is inside the plan or beside it. Included copilots keep the sticker price honest; add-ons at $29 per agent per month can add thousands across a team.
Third, if a vendor publishes nothing, ask for a written number for your exact mix. Quote-only pricing here is usually volume and contract-length driven, so a list price would mislead -- but a written quote is the only basis for comparing two vendors.
The Honest Takeaway
The most useful AI in this category is not the conversational kind. It is patch risk scoring, ticket summarisation and approval-gated automation, because those reduce the repetitive work that limits how many clients a technician can carry. The flashier agent demos are the least proven part of the stack.
If you are choosing today, the tools that publish prices are easier to trial and easier to leave. Pick whichever billing model matches your book of business, push a month of real tickets through the AI features on a free trial, and judge the automation on the tickets it quietly closes.
Cover photograph: The National Archives (UK), CC BY 3.0, via Wikimedia Commons.