Atera
Most IT tickets are the same twenty problems. They do not all need a person.
Password resets, printer faults, software installs, permission requests. Atera combines monitoring, ticketing, and helpdesk in one platform and puts AI on the front of it, so the routine requests get resolved automatically and the people you employ spend their time on work that actually needs judgement.
Skilled people spending their day on things that are not hard
Look at any internal IT queue and the same requests repeat endlessly. None of them are difficult. Together they consume most of the available hours, and they arrive constantly enough that nothing requiring sustained attention ever gets finished.
The same tickets, forever
A queue dominated by password resets and access requests is a queue where nothing strategic happens, because the interruptions never stop long enough to allow it.
Three systems that barely talk
Monitoring in one tool, tickets in another, assets in a spreadsheet. Reconciling them by hand is work that produces nothing except a consistent picture.
Costs that grow with the estate
Per-device pricing means every new laptop increases the bill, so tooling gets rationed and some machines quietly end up outside the system entirely.
Three levels of request, handled three different ways
The point of automation here is not replacing the IT team. It is making sure the difficulty of a problem determines who deals with it.
Routine and repetitive
Password resets, common software installs, standard permission requests, and known recurring faults. AI Autopilot handles these end to end, usually before anyone would have opened the ticket.
Predictable but consequential
Patching, software deployment, machine configuration, and threshold alerts. Scripts and workflows do the work, with a technician confirming rather than performing it.
Genuinely difficult
Unusual failures, security incidents, architecture decisions, and anything affecting the business directly. This is what you actually employ technical people to do, and it is what the first two levels protect time for.
One system covering monitoring through to invoicing
Because monitoring, tickets, and assets share the same platform, an alert can become a ticket attached to a known device with its full history already present, without anyone connecting those things manually.
RMM, PSA, and helpdesk unified
Remote monitoring, professional services automation, and ticketing operate as one product rather than three integrated ones. Nothing is lost translating between systems, and there is a single record of what happened to any device.
AI Autopilot
Diagnoses and resolves common issues autonomously, working the queue continuously rather than waiting for someone to pick a ticket up in the morning.
Patch management and software deployment
Updates and applications pushed across the estate centrally, with standardized machine configurations so new devices arrive built the same way every time.
Network discovery and asset management
Finds what is actually connected and keeps an accurate inventory, which is usually the first thing to fall out of date and the first thing an auditor asks for.
Remote access and scripting
Direct access to any managed machine, plus automation and scripting so a fix written once can be applied everywhere it is needed.
Reporting, billing, and alerting
Proactive threshold monitoring alongside analytics, billing, and invoicing, so the operational picture and the commercial one come from the same data.
The queue stops being the job
Hours back for real work
Removing the repetitive tier from the queue is the difference between an IT function that reacts all day and one that gets to improve something.
Common requests resolved immediately
A password reset handled in seconds at 9pm is a better outcome for the person waiting than a fast response the following morning.
Pricing that does not punish growth
Paying per technician rather than per device means adding machines does not increase the bill, so nothing gets left unmanaged to control cost.
Automation is only as good as what it was taught
AI that resolves tickets has to know your environment first: which requests are safe to action without approval, who is allowed to have what, how your systems are named, and where the boundary sits between a routine change and one that needs a human decision. Handed a platform with none of that defined, most teams switch the automation off after the first thing it does that nobody expected.
NYN Impact sets those boundaries deliberately and widens them as trust is earned, which is how automation ends up genuinely reducing work rather than becoming another thing to supervise.
What gets defined
Built for teams carrying more than they should
Small internal IT departments
Where a handful of people support the whole organization and the ticket queue reliably consumes everything, leaving no room for planned work.
Organizations consolidating tools
Where monitoring, ticketing, and asset tracking live in separate systems and keeping them aligned has become a job in itself.
Growing device estates
Where headcount is stable but machines keep multiplying, and per-device pricing has started shaping decisions it should not be shaping.
One platform, and AI on the routine half of the work
Atera brings remote monitoring, PSA, and helpdesk ticketing into a single platform with AI Autopilot resolving common requests autonomously, plus patch management, software deployment, network discovery, asset inventory, remote access, scripting, reporting, and billing. Priced per technician rather than per device, so protecting and managing another machine never becomes a budget decision.
Get in touch with NYN Impact
Questions about this solution? Reach us directly.