Atera vs Aisera: Which AI platform is right for your IT team in 2025?

Kenneth Pangan
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Kenneth Pangan

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Stanley Nicholas

Last edited December 14, 2025

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Atera vs Aisera: Which AI platform is right for your IT team in 2025?

Let's be real, IT teams are swamped. Ticket queues keep getting longer, everyone wants their problems fixed yesterday, and budgets are tight. Agentic AI is being pitched as the solution, a way to automate the small stuff so your team can actually focus on the bigger picture. But here’s the catch: not all AI platforms are built the same, and the philosophy behind them really matters.

Two names that keep popping up are Atera and Aisera. At first glance, they seem similar since they both offer AI tools for IT. But when you look closer, you see they’re coming at the problem from completely different angles. Atera is a complete, all-in-one IT management platform, while Aisera is a broad AI layer that you place on top of your existing software.

This guide will break down the Atera vs Aisera debate. We’ll get into their core design, what their AI can actually do, how much of a headache they are to set up, and what their pricing looks like. The goal is to help you figure out which one, if any, makes sense for your team.

What is Atera?

Screenshot of the Atera website homepage, highlighting its all-in-one IT platform features.
Screenshot of the Atera website homepage, highlighting its all-in-one IT platform features.

Atera is an all-in-one IT management platform made for Managed Service Providers (MSPs) and internal IT departments. Its big idea is to bundle all the essential tools an IT team needs into one package.

So, instead of jumping between different apps, Atera gives you:

  • Remote Monitoring and Management (RMM): This lets you watch over device health, handle patches automatically, and manage software across your network.

  • Professional Services Automation (PSA): This includes a built-in helpdesk and ticketing system, along with tools for customer management, billing, and reporting.

Atera’s AI is woven directly into this system. You get two main AI tools: the Atera IT Autopilot, which is an AI assistant that handles user support through Slack, email, and Microsoft Teams, and the Atera AI Copilot. Think of the Copilot as a sidekick for your human techs, helping them with things like writing scripts, troubleshooting, and summarizing tickets.

What is Aisera?

Screenshot of the Aisera website homepage, showcasing its agentic AI platform for enterprise use.
Screenshot of the Aisera website homepage, showcasing its agentic AI platform for enterprise use.

Aisera isn't a standalone IT platform at all. It’s an agentic AI platform that acts as an automation layer over the software you’re already using. Its focus is much wider than just IT, with uses for HR, customer service, finance, and sales teams.

Aisera’s goal is to create one conversational AI for the whole company. It integrates with a ton of different tools, including:

  • ITSM Tools: ServiceNow, Jira

  • CRMs: Salesforce

  • HR Systems: Workday

  • Communication Platforms: Microsoft Teams, Slack

The core of Aisera is a set of development tools, like its LLM Studio and AI Workflow Studio. These let companies build their own automated workflows with little to no code. It’s less of a ready-made product and more of a powerful toolkit for creating your own AI solutions from scratch.

A fundamental difference in approach

When you get down to it, choosing between these two is a choice between two very different philosophies: do you want a single, unified system, or do you want a flexible AI engine that works with your current setup? Here's a visual breakdown of how these two approaches differ in the Atera vs Aisera debate.

Infographic comparing Atera
Infographic comparing Atera

Atera's all-in-one ecosystem

With Atera, everything is in one place. Your RMM, helpdesk, and AI agents are all part of the same platform. The good thing about this is that everything works together smoothly. For instance, the "AI Copilot" can generate and run a script on a specific device in seconds because it’s already connected to the RMM tools. This keeps everything simple and in one spot.

The catch, though, is that you have to commit completely to their world. If your team loves its current helpdesk, like Zendesk or Jira Service Management, you’ll have to rip it out and replace it to use Atera's AI. For teams with settled workflows, that can be a huge disruption.

Aisera's customizable AI layer

Aisera is the opposite: it’s all about flexibility. It’s designed to connect with the tools you already have, not make you switch. You can use it to build a central AI that helps out multiple departments, from IT to HR. For a big company that wants one chatbot for all employee questions, this can be appealing.

But that flexibility comes with a lot of complexity. To make Aisera do anything, you have to build the automations yourself using its AI Workflow Studio. This means dragging and dropping components, setting up integrations, and mapping out the logic for every single task you want to automate. It's a powerful system, but it usually requires a dedicated internal team and a long setup project, meaning you won’t see any results for weeks, maybe even months.

A diagram showing the five steps to build a custom workflow in a tool like Aisera.
A diagram showing the five steps to build a custom workflow in a tool like Aisera.

A third way: The plug-and-play AI layer

So what if you need good AI automation but don't want to switch helpdesks or start a massive, months-long project?

This is where a third option comes into play. Tools like eesel AI are built to give you the best of both worlds. It’s an AI layer, kind of like Aisera, but it plugs right into the tools you already use, Zendesk, Confluence, and gets up and running in minutes. This approach gives you the benefits of a dedicated AI tool without the "rip-and-replace" of Atera or the long, complicated setup of Aisera.

The eesel AI Copilot drafting a reply in Zendesk, demonstrating a plug-and-play AI layer.
The eesel AI Copilot drafting a reply in Zendesk, demonstrating a plug-and-play AI layer.

AI agents, capabilities, and setup

Both platforms talk about "AI agents," but what they can do and how you use them are pretty different.

Atera's purpose-built IT agents

Atera's AI is built specifically for IT work. The "IT Autopilot" is designed to take care of common user problems like installing software or resetting passwords. The "AI Copilot" helps your technicians work faster by generating scripts from simple text prompts and running diagnostics.

The main benefit here is that these agents work "out-of-the-box" for many IT tasks. Since the AI is already part of the RMM and PSA, it’s been trained on IT knowledge and can do things at the device level without a lot of extra setup.

Aisera's customizable AI workflows

Aisera's AI is more like a framework. It gives you a powerful interface to build your own conversational workflows, but you’re the one who has to do the building. You have to define what users are asking for, connect to the right systems, and script the logic for every single automated process.

This is great if you have really unique needs that cross multiple departments and a team with the time and skills to build custom stuff. But for an IT team that just wants to automate support tickets, it can feel like being handed a box of engine parts and being told to build a car. It takes a lot of time and training to get value out of it.

The importance of fast and easy implementation

For most IT teams, the whole point of AI is to save time, not to create another big project. That's why the time it takes to see results is so important. A long, complicated setup just delays any return on your investment.

For teams that need to see an impact right away, solutions like eesel AI are built to learn from the data you already have, like old tickets, help articles, and macros. They can go live almost instantly and start resolving up to 81% of conversations automatically.

FeatureAteraAiseraeesel AI
Primary Use CaseIT automation within its own platformCross-departmental service automationCustomer & internal support automation
Setup ApproachPre-built for common IT tasksHighly customizable, requires workflow buildingLearns from existing data, fast setup
Core StrengthDeeply integrated with RMM/PSA toolsPowerful, customizable workflow engineSeamless integration with your existing tools
Best ForTeams migrating to an all-in-one IT platformEnterprises with resources for custom AI projectsTeams wanting to add AI to their current helpdesk

A comparison of pricing and value

Pricing is where the differences between Atera and Aisera get even clearer.

An infographic showing the different pricing models for Atera, Aisera, and eesel AI.
An infographic showing the different pricing models for Atera, Aisera, and eesel AI.

Atera's transparent per-technician pricing

Atera has a straightforward pay-per-technician model. Its plans are right there on its website, starting at $129 per technician, per month for the 'Pro' plan if you pay annually. This makes it easy to figure out your costs.

But, the advanced AI features cost extra. The "AI Copilot" for technicians is another $95 per technician, per month. The price for the "IT Autopilot", the agent that talks to end-users, isn't public, so you have to talk to sales. So while the basic pricing is clear, the costs can definitely climb as you add on more AI features.

Aisera's opaque, quote-based pricing

Aisera uses a classic enterprise sales approach: there’s no public pricing. To find out how much it costs, you have to fill out a "Request for Proposal (RFP)" and go through a sales process.

This quote-based model makes it impossible to guess what you'll end up paying without a lot of back-and-forth. When you add in the hidden costs of needing a team to build and maintain everything, it becomes a pretty big financial commitment that’s hard to plan for.

The transparent, value-based alternative

A lot of modern software is moving away from these mysterious enterprise contracts toward clear, predictable pricing. A platform like eesel AI stands out with transparent, usage-based plans. For instance, its Business Plan is $799 per month for 3,000 AI interactions. The model is simple: you pay for what you use, and you can change your plan as your needs change. Plus, you can try out the whole platform with a free trial before you commit to anything.

Atera vs Aisera: Making the right choice for your team

So, when it comes to Atera vs Aisera, what’s the right call? It really depends on your team’s situation.

  • Atera is a good pick for MSPs or IT teams that want everything in one single platform and are ready to move their whole operation over to get it. Its AI is designed for IT, but it does lock you into their system.

  • Aisera is a heavy-duty option for big companies with complex needs across many departments. It’s a fit if you have the budget, time, and people to build custom AI workflows from scratch.

Ultimately, the choice is between Atera's vendor lock-in and Aisera's complexity and murky pricing.

But if neither of those options sounds quite right, there is another way. If you want to keep your current helpdesk and knowledge bases but add powerful, secure, and easy-to-use AI on top, you might want to give eesel AI a try. It plugs into your existing setup in minutes, not months, so you can start seeing value right away.

Frequently asked questions

Atera is an all-in-one IT management platform with integrated AI, designed to centralize RMM and PSA tools. Aisera, conversely, is an agentic AI platform that acts as an automation layer over your existing software, focusing on customizable workflows across multiple departments.

Aisera is built for broad integration with a multitude of existing tools like ServiceNow, Jira, and Salesforce, acting as a flexible AI layer. Atera, being an all-in-one platform, typically requires you to commit to its ecosystem, potentially replacing your current helpdesk or RMM.

Atera's AI agents (IT Autopilot, AI Copilot) are purpose-built for specific IT tasks, offering out-of-the-box functionality within its integrated platform. Aisera provides a powerful framework for building custom conversational workflows from scratch, requiring more setup and development time from your team.

Atera offers transparent, per-technician pricing with publicly listed plans, though specific AI features might be additional add-ons. Aisera employs an opaque, quote-based enterprise sales model, meaning you'll need to go through a sales process to get pricing, which can be less predictable.

Atera's purpose-built AI features can offer quicker value for common IT tasks if you're adopting its entire platform due to its out-of-the-box nature. Aisera, with its custom workflow building, typically requires a significant time investment and internal resources before seeing a return on investment.

Both Atera (due to its all-in-one nature) and Aisera (due to its complex, custom build approach) present certain commitments. The blog suggests a "plug-and-play" AI layer like eesel AI as an alternative, which integrates quickly with existing tools without vendor lock-in or extensive setup.

The blog suggests Atera might be a better fit for MSPs or IT teams wanting an all-in-one solution if they're ready to migrate their entire operation. Aisera is highlighted for larger enterprises with resources for custom AI projects, implying it's less suited for smaller teams seeking simpler implementation.

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Kenneth Pangan

Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.