Robin vs ConnectWise Sidekick & AI Agents: Execution versus orchestration

Robin by Atera and ConnectWise’s AI products (Sidekick and the newer AI Agents) all support IT service work, but they act at different layers. ConnectWise’s AI Agents is positioned to organize and route tickets autonomously; Robin resolves issues directly on the device, server, or the network.

If you’re an MSP owner, service delivery manager, or technician lead comparing AI agents for your service desk, this Robin vs. ConnectWise AI comparison can help.

Note: This article is part of Robin’s ongoing comparison series: see also Robin vs. ServiceNow Otto and Robin vs. Nexthink Spark.

The AI layer, not the old RMM and PSA debate

This article is entirely AI-focused: Robin vs. ConnectWise Sidekick & AI Agents. We cover what each platform’s AI offerings are, what they do on their own, and how they compare.

For a platform-focused comparison, see Atera vs. ConnectWise.

What is ConnectWise Sidekick & AI Agents?

ConnectWise offers two AI-focused products: Sidekick and AI Agents.

Sidekick is ConnectWise’s original AI product, which helps technicians triage tickets, draft responses, generate scripts faster, and more.

AI Agents is a newer product, which is positioned as a step toward more autonomous execution inside AI service desk workflows.

Where they came from

ConnectWise first introduced Sidekick on November 8, 2023, at IT Nation Connect, describing it as the “world’s first purpose-built AI companion” for technology solution providers. Sidekick for Security later launched in June 2024.

More recently, ConnectWise acquired zofiQ in January 2026 and used it to build a separate product called AI Agents. It reached availability in mid-2026.

What it actually does

Sidekick, across its three modules, handles:

• Ticket triage, categorization, and summarization
• Customer sentiment tracking
• AI-assisted PowerShell, batch, and bash script generation
• Email response drafting
• Sidekick for Security: natural-language security posture queries, ticket assistance, and threat intelligence surfacing

AI Agents, ConnectWise’s newer product, consist of four AI agents:

1. Service desk agent: Uses context from PSA to recommend and execute next steps within the ticket workflow, such as updating records or routing to the right technician.
2. Triage agent: Automates the work of classifying, labeling, prioritizing, and routing incoming tickets.
3. Data analyst agent: Turns operational data into insights. Users can query business and service metrics across PSA, RMM, and financial data.
4. Oversight agent: Monitors agent-driven workflows to support compliance, accountability, and service quality.

Human review by design

ConnectWise is clear in its own documentation that Sidekick requires a technician to review and approve every AI-generated script before it runs. That’s a stated design choice, not a limitation ConnectWise is trying to hide.

AI Agents is scoped differently. ConnectWise describes it as closed-loop and autonomous, taking action directly inside workflows rather than only suggesting it. But its own materials say that autonomy is limited only to the ticket lifecycle: triage, routing, documentation, and technician guidance, not the device, server, or network the ticket is actually about.

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.

The four-step resolution loop

MSPs and enterprise IT departments can put autonomous IT to work with Robin through its four-step resolution loop:

1. Diagnose: Robin interacts with end-users via Slack, Teams, email, the Customer Portal, or third-party ITSM tools. It picks up the intent and asks follow-up questions to understand the issue entirely.
2. Remediate: Once Robin has gathered enough context, it carries out the fix on the device itself, in the network, or in the cloud. This includes actions like a credential reset, a software install, a service restart, and more.
3. Verify: Robin confirms the fix actually worked before closing out anything. If the issue didn’t get solved, Robin escalates it to a human technician with full context of the issue.
4. Close: The ticket updates in whatever ITSM your team already runs, with the outcome and any follow-up noted. Every request gets logged for audit and compliance.

Robin in action: the tasks it actually resolves

The full list of Robin’s use cases is listed here; below are six highlighted.

1. Diagnosing and resolving slow device performance

   The issue: An employee reports their device has become slow.

   Robin resolution: Robin analyzes device health in real time, isolates the actual bottleneck, and applies the fix directly on that machine, rather than logging a ticket for someone to investigate later.

2. Password reset and credential recovery

   The issue: A user is locked out of their account.

   Robin resolution: Robin checks whether the user is in-office or on VPN, selects the right resolution path, and resets the credential directly with the identity provider.

3. Provisioning software for employees

   The issue: An employee needs an application they don’t have rights to install.

   Robin resolution: Robin checks their entitlements against the approved software and installs it directly on the device.

4. Clearing print queue and restoring printer function

   The issue: A stuck print job is blocking output.

   Robin resolution: Robin clears the queue, resets the spooler, and reconnects the correct printer for that user’s location.

5. Wi-Fi and network self-service

   The issue: A user can’t connect to the network.

   Robin resolution: Robin isolates whether the fault sits with the device, the adapter, DNS, or a proxy, then repairs that exact point itself rather than opening a general network ticket.

6. Onboarding a new employee

The issue: A new hire needs accounts and access ready.

Robin resolution: Robin validates the employee’s Azure AD groups, approved software, and VPN access, then provisions each one directly.

Guardrails and enterprise trust

Agentic AI for MSPs and enterprises only makes sense when it’s governed.

That’s as true for an MSP running IT operations for 100+ clients as it is for single enterprise IT department.

Atera takes its AI security for Robin seriously:

• Admin-defined guardrails. IT admins decide what Robin is allowed to do, not Robin itself. Custom instructions, playbooks, and knowledge base articles set that scope in plain language. Anything outside it gets escalated to a technician rather than attempted.
• Human-approved execution. Robin resolves on its own within its approved scope, but high-risk scripts and code still need a technician to review and turn on before they can run for the first time.
• Full audit trails. Every action Robin takes is logged under its own Robin ID, capturing the original request, Robin’s reasoning, and the action itself, the same record-keeping a human technician’s work would generate.
• ITSM agnostic. Robin operates inside the ITSM your team already runs: ServiceNow, Atlassian, Salesforce, Zendesk, SysAid, and others, rather than requiring you to switch systems first.

Robin vs ConnectWise Sidekick & AI Agents: the core difference

In the comparison table below, Robin is compared against both of ConnectWise’s AI products: Sidekick and the newer AI Agents.

Why Robin has the edge

1. A later start still produced autonomous execution first

   ConnectWise Sidekick launched in November 2023, about a year and a half before Robin’s underlying technology (IT Autopilot, May 2025). Robin arrived later than Sidekick and still reached autonomous, end-to-end execution first.

   ConnectWise AI Agents only reached general availability in mid-2026, more than a year after Robin.

2. ConnectWise AI Agents autonomous resolution rate isn’t confirmed

   Robin’s up to 92% autonomous resolution rate and 120-second average resolution time describe completed, unsupervised technical work.

   ConnectWise’s AI Agents page publishes its own figures: 80+% reduction in escalations, a 25% increase in first-touch resolution, and 30+ hours of manual configuration eliminated.

   None of these describe an actual autonomous resolution rate and, based on ConnectWise’s own case studies, are not consistent across customers.

   Peak Global Solutions is the main testimonial on ConnectWise’s AI Agents. That case study reports a 20% drop in escalations, not 80%.

   

3. Robin acts on the infrastructure. ConnectWise’s AI Agents acts on the ticket.

ConnectWise is clear in its documentation that Sidekick requires a technician to approve every generated script or action.

AI Agents, ConnectWise’s newer product, describes itself as closed-loop and autonomous, but its own materials scope that autonomy to the ticket lifecycle: triage, routing, documentation, technician guidance. Nowhere does ConnectWise describe AI Agents installing software, resetting a credential, or fixing a device the way Robin’s use cases do.

Robin’s autonomy operates one layer deeper. It acts within its admin-defined scope on the device, server, or network itself, without a technician approving each individual action. Human review is reserved for what falls outside that scope, or for enabling higher-risk scripts before they’re ever available to run.

Why this distinction matters, for MSPs and enterprise IT alike

A ticket that’s been triaged, routed, and documented is still a ticket. Someone still has to reset the password, install software, or fix the device before it’s actually resolved.

That gap, between orchestrating the work and actually doing it, is where the difference between Robin and ConnectWise’s AI products actually shows up.

Here’s what that looks like in practice:

• Ticket-layer automation speeds up the queue, not the fix. AI Agents can classify and route a locked-out user’s ticket to the right technician in seconds. Robin skips that step entirely by resetting the credential itself.
• Technician hours only get reclaimed at the layer where the fix happens. A technician opening ten well-triaged tickets a day is still opening ten tickets. Robin returns those hours by actually resolving the routine tasks, such as password resets, software installs, and network fixes.
• After-hours coverage still needs someone at the infrastructure layer. A ticket triaged and routed at 2 a.m. stays unresolved until an agent capable of acting on the device itself picks it up. Robin’s scope reaches that layer without waiting for a technician to log in.
• The math scales the same either way. Whether the backlog belongs to one enterprise IT department or a portfolio of MSP clients, the distance between a well-organized ticket and a resolved one doesn’t change based on who the end customer is.

The bottom line

ConnectWise’s AI has come a long way since 2023, and its newer AI Agents product brings real autonomy to how tickets get triaged and routed. But a triaged ticket is still a ticket until someone solves the printer issue, installs the software, or fixes the device underneath it, and that’s the layer Robin works on.

Robin arrived later than Sidekick and still reached autonomous, end-to-end technical execution first at the device, server, and network level.

If you’re choosing a ConnectWise Sidekick alternative, see how Robin can autonomously resolve your first tickets; book a demo with our sales team.