Robin by Atera vs. Ivanti Neurons: comparing two very different approaches to autonomous IT

Robin by Atera and Ivanti Neurons both talk about autonomous IT, but they’ve built it differently.

Ivanti splits its Agentic AI into two separate capabilities: a conversational AI that handles support requests and autonomous endpoint management for patch management. In contrast, Robin resolves IT incidents across devices, servers, mainframes, and networks in one agent.

If you’re a CIO or VP of IT evaluating AI agents for your IT operations, this Robin vs. Ivanti Neurons comparison can help.

The AI layer, not the old UEM debate

This article focuses entirely on the AI layer: Robin vs. Ivanti’s agentic AI capabilities. Ivanti has sold ITSM software for years; what’s new in 2026 is the agentic AI that Ivanti has added on top of its existing product.

In this article, we don’t focus on Atera vs. Ivanti as a platform (although we do have an article on it).

What is Ivanti Neurons?

Ivanti Neurons is Ivanti’s IT and security platform, covering areas like ITSM, endpoint management, and IT security.

In 2026, Ivanti added two AI capabilities on top of that: AI Self-Service Agent and Autonomous Endpoint Management (AEM).

Ivanti Neurons AI Self-Service Agent

Ivanti’s first autonomous IT solution, the AI Self-Service Agent, is a conversational AI agent that not only responds to user requests but also creates incidents, routes service requests, and searches knowledge sources.

The AI Self-Service Agent is launched under a controlled release. General availability was planned for later in 2026, and had not been confirmed as of this writing.

Autonomous Endpoint Management

Ivanti describes its AEM product broadly: it helps to autonomously discover, prioritize, and remediate IT issues before they impact users. One named, specific use-case is its ability to automate patching based on risk, exposure, and compliance requirements.

Governance and guardrails

Per Ivanti’s own materials, here are the Agentic AI security actions they’re taking:

• Policy and approval guardrails: The Self-Service Agent’s move from conversational intake to autonomous resolution is built with guardrails for policy, approvals, and data context.
• Controlled rollout: The Self-Service Agent isn’t enabled automatically; customers have to request it, and Ivanti has described this as a staged release rather than a broad default-on capability.
• A single system of record: Ivanti Neurons combines discovery, IT asset management, and CMDB data so agentic actions are based on accurate context rather than guesswork.
• Admin control over automated workflows: As with the Self-Service Agent, AEM’s patch actions run through governed workflows with admin control. No action is taken outside of defined conditions.

What is Robin by Atera?

Robin is an AI technician that remediates Tier-1 and complex Tier-2 technical incidents end to end by autonomously taking real actions on devices, servers, mainframes, and networks, without needing a technician in the loop.

How Robin works

Robin enables autonomous IT by following a four-step resolution process:

1. Robin diagnoses the issue: Robin interacts with end-users via Slack, email, third-party ITSM tools, Teams, or your Customer Portal. It asks follow-up questions from end-users and gathers the full context needed for issue resolution.
2. It remediates the issue: Based on the issue type, Robin takes approved actions directly on the device, network, or in the cloud. It troubleshoots like a human and determines whether the request needs an action, an approval, or an escalation.
3. It verifies it’s resolved: Before closing anything, Robin confirms the issue is actually resolved. If it isn’t, it escalates the ticket to a technician with full context of the issue.
4. It closes the loop: Robin updates the ticket in your existing ITSM with the outcome and the next steps. Every request, action, approval, and outcome gets logged for governance and compliance.

Robin in action

We’ve listed all Robin use cases here, but below are six highlighted.

1. Password reset and recovery

   The issue: A user is locked out of their account

   Robin resolution: Robin detects whether they’re in-office or on VPN, selects the correct reset path, and resets the credential directly against the identity provider.

2. Onboarding a new employee

   The issue: A new employee needs an account and software set up

   Robin resolution: Robin checks the employee’s AD groups, approved software, VPN, and security posture against their role.

3. Wi-fi and network self-service

   The issue: A user can’t connect to a network

   Robin resolution: Robin isolates whether the fault sits within the device, the adapter, DNS, or a proxy, then repairs that exact point itself.

4. Diagnose and resolve slow device performance

   The issue: A user is facing performance issues

   Robin resolution: Robin checks device health in real time, finds what the actual bottleneck is, and executes the fix directly on the device.

5. Clearing disk space and reclaiming storage

   The issue: A user’s device is running low on storage

   Robin resolution: Robin identifies what’s consuming storage, flags what’s safe to remove, and reclaims the storage once the user confirms.

6. Provision software for employees
   
   The issue: An employee needs an application they don’t have the right to install
   
   Robin resolution: Robin looks up their entitlements against approved software lists and installs it directly on the device.

Guardrails and enterprise trust

Incorporating Agentic AI technology only makes sense if it’s properly governed. Atera’s AI security covers:

• Admin-defined guardrails: Robin’s behavior is governed by custom instructions, KB articles, and playbooks written by IT admins in plain language.
• Human-approved execution: Before any high-risk script or code is activated, a human technician must explicitly review it before it gets enabled.
• Full audit trails: Every action Robin takes is attributed to a distinct ID. Each ID shows the original request, Robin’s reasoning, and the action it has taken. Actions are logged the same way human technicians’ actions would be.
• ITSM agnostic: Robin operates inside the ITSM platform your organization already runs: Ivanti, SysAid, ServiceNow, Freshservice, and more.

Robin vs Ivanti Neurons: the core difference

Why Robin has the edge

1. Production tenure

   Robin has been resolving IT incidents in production for close to a year longer than Ivanti’s agentic ITSM capability has existed in any released form. Robin’s underlying technology launched as IT Autopilot in May 2025.

   Ivanti’s Neurons AI Self-Service Agent entered preview in January 2026 and controlled release in April 2026, roughly eleven months later.

   Predictive remediation for Ivanti Autonomous Endpoint Management was launched in July 2026.

2. Product availability

   As per Ivanti’s own sources, its Agentic AI solution for ITSM is only available through “a controlled release.” To get it, you need to explicitly request it from Ivanti’s team.

   Robin has been publicly available and carrying real ticket volume autonomously since May 2025.

3. Named use cases versus broad claims
   
   Robin’s use cases page names concrete scenarios it autonomously resolves: a locked-out password reset, onboarding new employees, fixing performance issues, and more.
   
   Ivanti’s AEM materials describe “self-healing” and remediating “IT issues before they impact users,” but the only capabilities Ivanti has actually named are patch compliance and configuration drift.

Why this distinction matters for IT leaders

Both Atera and Ivanti use the word autonomous. The question is where that autonomy actually sits and what it helps with.

Here’s what that means in practice:

1. Ticket creation and IT incident resolution are two different things

   Ivanti’s own language for the Self-Service Agent says it helps to deflect tickets before they reach a service desk analyst. For the AEM, autonomous resolution is mentioned, but it’s limited to patch and configuration actions.

   Robin’s four-step loop is built to resolve the IT incident itself, not just keep it from generating a ticket in the first place.

2. Split architecture means more work
   
   If your Tier-1 backlog includes both a credential reset and an out-of-compliance patch, Ivanti’s platform requires you to use two separate AI capabilities.
   
   Robin is a single AI agent that resolves IT incidents directly on the device, server, mainframe, or network. No switching between AI capabilities is needed.

The bottom line

Ivanti splits its Agentic AI into two separate capabilities: its conversational AI that handles support requests, and the AEM for patch and configuration remediation on the endpoint. Robin resolves the IT incident itself, within devices, servers, mainframes, and networks, in one agent.

If you’re looking at Robin as an Ivanti alternative, what matters most is where your IT incidents actually need to be resolved: at the ticket layer, on the endpoint, or across your infrastructure.

See how Robin can autonomously resolve tickets at all organizational levels – book a demo with our sales team today.