6/9/2026 | 6 Minute Read
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Managed service providers (MSPs) that invest in automation are seeing measurable gains, including reduced alert noise and hundreds of hours saved each month through proactive monitoring, automated maintenance, and process orchestration. Yet many still approach automation as a tool decision, comparing remote monitoring and management (RMM) and robotic process automation (RPA) as if one replaces the other.
That framing creates inefficiency. RMM focuses on detection and automation across managed endpoints, while RPA executes repeatable processes, including ones with checkpoints for human oversight and spanning device management and business management solutions. When treated as disparate tools, MSPs introduce overlap and duplicated effort. When treated as interchangeable, MSPs create gaps where the solutions’ complementary strengths aren’t realized in their business in a meaningful way.
Top-performing MSPs take a different approach. They align automation to their business needs, creating clarity and gaining buy-in with their technical team, and evolve through defined levels of maturity, from manual operations to autonomous workflows.
Understanding these levels is key to scaling efficiently and turning automation into a competitive advantage.
RMM and RPA are not competing solutions. They operate across different stages of automation maturity and deliver the most value when aligned within a structured strategy.
RMM software focuses on proactive endpoint and environment monitoring, expanded visibility, and automation for maintenance tasks, such as patching and issue remediation steps. It continuously monitors endpoints, infrastructure, and systems to identify issues that require attention, while also enabling automated actions through scripts, policy-based automations, and alert-triggered remediation steps. This allows MSPs to proactively manage environments and resolve common issues without manual intervention. Without this layer, automation lacks the visibility and context needed to act effectively.
Beyond monitoring, RMM solutions provide technicians with the ability to remotely access devices, execute scripts, deploy software, and manage endpoints when automation alone is not enough.
RMM also frequently serves as the execution layer for automation workflows, enabling actions initiated by RPA or orchestration platforms to run directly against managed endpoints. This allows MSPs to combine proactive monitoring with scalable, automated remediation.
RPA software focuses on execution and workflow automation for processes across an MSP’s tech stack. It automates repeatable processes made up of rules-based tasks, and enables MSPs to automate steps in third-party solutions, such as Microsoft accounts, that might otherwise require incredibly complex scripting. RPA workflow capabilities help reduce manual effort and improve consistency of service delivery. An important distinction is that RPA does not provide native monitoring or determine when action is required. The RMM solution or solution-based triggers are used to kick off the appropriate workflow.
High-performing MSPs do not approach automation as a collection of tools. They evolve through distinct levels of maturity, where each stage builds on the last to reduce manual effort, improve consistency, and increase operational scale.
Understanding where your organization operates today is the first step toward building a more efficient and scalable automation strategy.
At this stage, service delivery relies almost entirely on human intervention, typically through remote access tools and manual remediation performed one machine at a time. Technicians respond to tickets submitted by end users and perform required maintenance or remediation tasks manually. Processes are often undocumented or inconsistently applied, leading to variability in outcomes and increased risk of human error.
Common characteristics include:
As a company grows, this method of endpoint management often does not scale. Ticket volume increases faster than the team can respond, leading to missed SLAs, frustrated end users, and technician burnout.
MSPs that use both solutions together create a more complete automation strategy that connects visibility with execution and drastically reduces manual intervention and human error in routine or complex processes.
How to progress from level 1:
Start by building consistency and visibility. Document your most common service tasks and identify repeatable processes that can be standardized. Implement RMM to automate adherence to patch management policies, ensure constant connection to endpoints under management, and gain baseline proactive monitoring across all endpoints. Then, begin introducing simple scripts for common troubleshooting tasks.
Pro tip: Always review the out-of-the-box scripts and monitors to avoid wasted labor hours.
Automation begins with scripts and simple task execution, typically driven by RMM.
MSPs at this level introduce RMM scripts to handle one-off repetitive technical tasks at scale across multiple devices. These automations are often scheduled or manually triggered, reducing time spent on routine maintenance, troubleshooting, and issue remediation.
Common characteristics include:
RMM vs. RPA at level 2
RMM provides basic maintenance automation and scripting capabilities. Efficiency improves, but automation remains siloed. Scripts execute tasks, but they are not consistently tied to real-time conditions or broader workflows.
How to progress from level 2:
Focus on standardization and prioritization. Identify the top repetitive tasks consuming technician time, such as patching, onboarding, and routine remediation. Standardize scripts across clients and begin aligning automation with consistent operational workflows rather than one-off fixes.
Automation becomes event-driven, connecting RMM monitoring with execution, such as scripts triggered by monitors. At this level, MSPs begin aligning detection and action and automating processes beyond device management. Conditional logic ensures actions are only taken when specific criteria are met. MSPs begin documenting processes in more detail and building workflows to automate simple processes to connect endpoint management and business management needs.
Common characteristics include:
RMM vs. RPA at level 3
RMM plays a critical role in surfacing actionable events. Alerts generated by RMM systems trigger automated responses, often executed through scripts.
RPA acts as the process automation layer that carries out device- or end-user-specific needs. This integration marks a shift from proactive monitoring and maintenance to proactive service delivery.
How to progress from level 3:
Expand automation coverage and refine conditions. Focus on common alerts to generate tickets to achieve the highest impact on automation efforts. Continuously tune alert thresholds to reduce noise and improve signal quality, and build processes into automated workflows via RPA to ensure consistency and alignment with client needs.
In this level of maturity, workflow orchestration becomes the defining capability, and MSPs are often building out more custom automation solutions tailored to their unique clients or tech stack mix. RPA bots become essential for end-to-end process automation, and AI capabilities are used to dramatically shorten SLAs and provide techs with context to resolve issues requiring manual intervention quickly.
Common characteristics include:
Learn more about automation vs. orchestration >>
RMM vs. RPA at level 4
RPA executes tasks within larger, orchestrated workflows that span multiple systems and steps, while RMM continues to provide the visibility and intelligence that drives refinement and automation built into those workflows.
How to progress from level 4:
Focus on workflow design and tech stack integration. Map end-to-end processes across systems, eliminate manual handoffs, and ensure consistent execution across all clients. Prioritize automation that tackles entire workflows, not just individual tasks. Automated workflows must have high levels of trust from level one and two technical staff and, where applicable, end users.
RMM vs. RPA is the wrong question. MSPs that treat automation as a tool comparison often stall at lower levels of maturity, where visibility and execution remain disconnected. RMM without meaningful automated execution creates alert fatigue. RPA without monitoring creates processes that can’t respond effectively to environmental changes or interact with the devices MSPs support. Real progress happens when both are applied together, aligned to how MSPs engage with and support their client environments.
ConnectWise brings both solutions together in a unified approach. ConnectWise RMM™ provides intelligent, proactive monitoring and automated remediation, while ConnectWise RPA™ extends automation to comprehensive service delivery workflows, eliminating repetitive work and messy, manual handoffs.
Together, they enable a connected automation strategy that reduces ticket volume, improves SLA performance, and scales operations without adding headcount.
See how ConnectWise RMM and RPA help MSPs accelerate through every stage of automation maturity.
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RMM focuses on proactive monitoring, full environment visibility, and automated management of endpoints. It maintains devices through policy-based management and detects issues, triggering automated remediation. RPA executes repeatable, rules-based processes across systems, particularly benefiting MSPs when used for workflows that span multiple tools. RMM maintains the environment and provides the context and connection to end user devices, while RPA executes processes necessary for high-quality and highly responsive service delivery.
No. RPA cannot replace RMM because it does not provide proactive endpoint monitoring or the breadth or depth of visibility into IT environments. RPA complements RMM by automating entire processes to meet the needs of MSP teams, clients, or unique tech stack configurations.
MSPs use RMM to maintain connection, visibility, and predefined technical standards for device management that effectively detects issues and generates alerts, creating tickets for the MSP only when automated remediation steps fail. RPA executes multi-step processes that can bring monitors, scripting, ticket management, and more together to bring MSPs closer to automating end-to-end service delivery, such as end user device onboarding. As another, more detailed example, an RMM alert for a failed service can trigger an automated workflow that restarts the service via a script, validates the outcome, and then sends an MS Teams notification to the tech assigned to the ticket in PSA, filled out with AI-generated context for their review.
MSP automation maturity refers to how advanced an organization’s automation strategy is, ranging from manual operations to primarily autonomous workflows. As MSPs mature, they move from reactive ticket handling to proactive and orchestrated automation that reduces manual work and improves efficiency.
Most MSPs should aim for level 3 or level 4, where RMM and RPA solution investment is used to its full advantage. At these levels, automation is proactive, and workflows are trusted to orchestrate service delivery across systems, dramatically improving technician efficiency and MSP service margins. These levels deliver the greatest operational impact by reducing ticket volume, improving SLA performance, and enabling teams to scale without increasing headcount.
Start by identifying repetitive tasks and high-volume alerts that generate tickets. Implement RMM to improve visibility and automate maintenance and common alert remediation effectively, then introduce RPA workflows to start tackling repetitive processes. From there, focus on building trust in automation and connecting detection and execution into end-to-end workflows that deliver faster results for end users, improve margins on service contracts, and eliminate manual intervention.
