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8/4/2026 | 12 Minute Read

What is robotic process automation? A guide for MSPs and IT teams

Contents

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    Key takeaways

    • Robotic process automation reduces repetitive IT work by automating rule-based tasks across systems, improving efficiency and lowering operational costs
    • RPA is evolving beyond simple task automation into a core component of modern IT workflows, integrating with IT service management, monitoring, and security tools
    • Both IT teams and managed service providers (MSPs) use RPA to streamline processes such as ticket triage, user provisioning, patching, and incident response
    • Combining RPA with AI and workflow automation enables faster decision-making, reduced ticket volume, and improved service delivery outcomes
    • Organizations that adopt RPA as part of a broader automation strategy can scale operations without increasing headcount while improving SLA performance

    As IT environments grow more complex, teams are under constant pressure to manage increasing ticket volumes, support hybrid workforces, and maintain security and compliance, all without adding headcount. Manual processes that once worked at a smaller scale are now creating bottlenecks, slowing response times, and increasing the risk of human error. 

    Robotic process automation (RPA) addresses this challenge by automating repetitive, rule-based tasks across systems and workflows. Instead of relying on technicians to complete routine work, RPA enables software bots to handle these tasks consistently and at scale.

    What is RPA?

    RPA is technology that uses software bots to automate repetitive, rule-based tasks across IT systems and applications. These bots can interact with user interfaces, APIs, and data sources to execute workflows such as ticket handling, user provisioning, data entry, and system updates without manual intervention.  

    In modern IT environments, RPA extends beyond basic task automation. It enables cross-system workflows by connecting tools such as IT service management (ITSM), monitoring, identity platforms, and cloud applications. By automating high-volume operational tasks, RPA helps IT teams and service providers improve efficiency, reduce errors, and scale operations without increasing overhead.

    Related content: RMM vs. RPA

    What are the types of RPA?

    There are three main types of RPA: 

    • Attended RPA: Attended RPA works alongside users, assisting with tasks in real time. These bots automate repetitive actions such as data entry or information retrieval while allowing humans to make decisions and guide the process. This model is commonly used in service desk and user-facing workflows.
    • Unattended RPA: Unattended RPA operates independently without human involvement. These bots execute high-volume, rule-based tasks on a schedule or in response to triggers such as alerts or system events. This approach is ideal for back-end processes and large-scale automation.
    • Hybrid RPA: Hybrid RPA combines attended and unattended automation, enabling workflows that require both human input and automated execution. This model provides flexibility for more complex processes that span multiple systems and decision points.  

    These approaches are not mutually exclusive. Organizations often deploy a mix of attended, unattended, and hybrid automation depending on the process and the systems involved.

    How RPA works in modern IT operations

    RPA software is ideal for automating manual, time-consuming, and error-prone tasks that do not require complex decision-making. In modern IT environments, it functions as the execution layer within broader automation strategies, carrying out tasks across systems once a workflow is triggered. 

    By connecting device management tools, cybersecurity solutions, backup and recovery systems, and ITSM software, RPA enables end-to-end workflows without requiring constant human intervention. This reduces manual effort and ensures processes are completed consistently. 

    RPA delivers the most value when used alongside scripting, workflow automation, and AI-driven tools. While those technologies handle orchestration, logic, and decision-making, RPA focuses on executing tasks at scale, helping standardize operations across environments. 

    It’s best suited when:

    • The process involves repetitive tasks that follow a predefined set of rules
    • The tasks involve interacting with user interfaces such as data entry, form filling, or reading data from applications that lack an API
    • The process does not require significant integration with other systems or complex data manipulation 

    By automating routine activities, RPA helps both MSPs and IT teams improve efficiency, reduce human error, and deliver more reliable service outcomes across their operations.

    Five key benefits of RPA

    • Increased efficiency: RPA automates repetitive and rule-based tasks, allowing MSPs and IT teams to complete them faster and more accurately.
    • Improved accuracy: RPA bots perform tasks with a high level of accuracy and consistency, minimizing the risk of human errors. This leads to improved data quality, reduced rework, and enhanced customer satisfaction.
    • Scalability: RPA allows IT professionals to scale their operations without adding significant human resources. Bots can handle increased workloads and perform tasks simultaneously, enabling technicians to efficiently manage growing workloads.
    • Cost savings: By automating manual tasks, MSPs and IT teams can reduce labor costs and allocate their resources to more strategic and value-added activities.
    • Enhanced service delivery: With RPA, MSPs and IT teams can provide faster response times and improved service levels to their end users. Bots can automate various tasks, ensuring timely and efficient service delivery.

    RPA challenges that MSPs and IT teams should be aware of

    There are three main challenges when it comes to RPA: 

    • Complexity of processes: RPA works best with well-defined and structured processes, as complex or highly variable processes may be too difficult to automate using it. Bots typically follow predefined rules and require clear instructions, so organizations may need to simplify or standardize their processes before implementing RPA.
    • Exception handling: RPA bots are designed to handle routine tasks, but they may struggle with handling exceptions or unexpected scenarios. If an exception occurs, humans may need to intervene to resolve the issue. Organizations need to define clear guidelines for handling exceptions and establish mechanisms for human intervention when necessary.
    • Change management: Implementing RPA often requires a cultural shift within the organization. Employees may be resistant to change or fear that automation will replace their jobs. Effective change management strategies, including communication, training, and employee involvement, are crucial to address these concerns and gain buy-in from stakeholders.

    RPA use cases for MSPs and IT teams

    Specific processes and tasks that can be automated using RPA include: 

    User account setup and configuration

    RPA bots can automate the creation of user accounts by extracting relevant information from onboarding forms or HR systems and populating it into the necessary systems, such as Active Directory or identity management platforms. Bots can also configure user settings and permissions based on predefined templates or role-based access controls, ensuring consistency and accuracy across all accounts.

    Additionally, RPA can automate the provisioning of software licenses, email accounts, and other resources required for user productivity. The result is faster onboarding, fewer provisioning errors, and consistent access from day one, without technicians manually working through the same checklist for every new user.

    User account management

    RPA bots can automate the modification and deletion of user accounts across various systems and applications. They can also handle tasks such as password resets, account deactivations, and access revocations. By automating these processes, MSPs and IT teams can reduce manual errors, improve efficiency, and enhance cybersecurity by enforcing consistent access controls and eliminating the risk of human oversight. 

    End user support and troubleshooting

    RPA bots can be trained to handle common user issues by following predefined workflows and troubleshooting steps. They can gather relevant information from users, such as error messages or system logs, and perform initial diagnostics to identify potential causes of the problem. Bots can also provide step-by-step instructions or automated fixes for known issues, reducing the need for manual intervention. 

    Additionally, RPA can integrate with ticketing systems, automatically creating support tickets and updating them with relevant information. The outcome is faster first-response, higher resolution rates, and support staff who can focus on the issues that actually need human judgment.

    Mailbox permissions 

    RPA bots can automate the process of granting or revoking mailbox access permissions based on predefined rules or requests. Bots can analyze access requests, validate user credentials, and automatically update mailbox permissions accordingly. They can also monitor and audit mailbox permissions to ensure compliance with cybersecurity policies and regulations.

    Additionally, RPA can help manage mailbox groups or distribution lists by automatically adding or removing users based on predefined criteria. By leveraging RPA in mailbox permission management, MSPs and IT teams can streamline the process, reduce manual errors, enhance cybersecurity, and ensure that users have appropriate access to the mailboxes they need, improving overall productivity and data protection.

    General computer and network management

    RPA bots can automate routine activities such as system monitoring, log analysis, and network configuration changes. They can continuously monitor system health, collect performance data, and generate alerts or notifications when issues are detected, enabling IT professionals to proactively address potential problems before they impact end users.

    Additionally, RPA can automate repetitive network management tasks such as device provisioning, access control updates, and configuration backups, ensuring consistency and accuracy while reducing the risk of human error.

    By leveraging RPA in these instances, IT pros can optimize their workflows, reduce manual errors, enhance service quality, and improve customer satisfaction. Now, technicians can focus on more strategic and complex tasks while bots handle the rest.

    We’ve built RPA bots to replicate common IT tasks without human intervention, freeing up your tech teams to focus on projects that drive revenue and improve customer satisfaction.

    Learn more about how ConnectWise RPA™ can help >>

    Best practices for successful RPA implementation

    To successfully implement RPA, follow these seven steps. 

    1. Identify and prioritize processes: Conduct a thorough analysis of existing processes to identify the most suitable candidates for automation. Prioritize processes that are repetitive, rule-based, and have a high volume of transactions. Start with smaller, well-defined processes to gain experience and build confidence before tackling more complex ones.
    2. Set clear goals and expectations: Identify key performance indicators (KPIs) that align with business objectives, such as cost savings, productivity improvements, or error reduction. Communicate these goals to stakeholders and ensure everyone understands the expected outcomes.
    3. Involve stakeholders and employees: Engage business process owners, IT teams, and end users to gather insights, understand pain points, and gain buy-in. Involving employees early on helps address concerns, manage expectations, and foster a positive attitude toward automation.
    4. Conduct a pilot project: Before scaling up RPA implementation, conduct a pilot project to validate the chosen solution and assess its impact. Learn from the pilot project and make necessary adjustments before expanding automation efforts.
    5. Invest in training and upskilling: Offer training programs to help employees understand the technology, its benefits, and how it will impact their roles. Upskill your employees to take on new responsibilities, such as managing and maintaining the RPA bots. This investment in training ensures a smooth transition and maximizes the potential of RPA.
    6. Monitor and measure performance: Consistently monitor and measure the performance of bots and processes. Establish metrics and KPIs to track the effectiveness of automation efforts. Regularly review performance data, identify bottlenecks or areas for improvement, and make necessary adjustments to optimize RPA performance.
    7. Encourage a culture of innovation and continuous improvement: Urge employees to suggest process improvements and identify new automation opportunities. Regularly review and update automation strategies to stay aligned with evolving business needs and technological advancements.

    By following these best practices, MSPs and IT teams can ensure a successful implementation that delivers tangible benefits, improves operational efficiency, and drives business growth. 

    Leveraging ConnectWise RPA™

    CW RPA™ helps MSPs and IT teams increase productivity by automating repetitive, time-consuming tasks across their environments. By reducing manual effort and streamlining workflows, teams can focus on higher-value initiatives that drive business outcomes.

    Whether you are looking to improve service delivery, reduce operational costs, minimize errors, or scale operations without adding headcount, CW RPA enables more efficient and consistent execution across IT processes.

    By integrating automation into daily workflows, organizations can shift their focus from routine tasks to strategic priorities, improving performance, reliability, and overall service outcomes.  

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    FAQs

    What is robotic process automation in IT?

    Robotic process automation in IT refers to software that automates repetitive, rule-based tasks across systems, such as ticket handling, user provisioning, and data processing. It reduces manual effort and improves operational efficiency.

    What processes are best suited for RPA?

    RPA is best suited for processes that are repetitive, rule-based, and require consistent execution across systems. These tasks typically follow defined steps and do not rely on complex decision-making. 

    Common examples include user onboarding and offboarding, ticket triage and updates, password resets, data entry, report generation, and routine system maintenance. RPA is also effective for tasks that involve multiple systems, such as updating records across IT service management, identity, and cloud tools. 

    In general, the best candidates for RPA are high-volume processes that are time-consuming for technicians and prone to human error when performed manually.

    How is RPA different from IT automation?

    RPA focuses on automating tasks across applications and workflows, often mimicking human interactions. IT automation typically focuses on infrastructure-level tasks such as scripting, provisioning, and configuration management.

    How do MSPs and IT teams use RPA?

    MSPs use RPA to scale service delivery across multiple clients by automating ticket triage, monitoring responses, patch management, and security workflows. This helps improve efficiency and maintain SLA performance.

    IT teams use RPA to automate help desk workflows, user onboarding and offboarding, system maintenance, reporting, and compliance processes. This reduces workload and improves response times. 

    Can RPA work with AI in IT operations?

    Yes. RPA can be combined with AI to create intelligent automation workflows that analyze data, prioritize tasks, and trigger automated actions. This enables more proactive and efficient IT operations.

    RPA helps IT departments reduce manual work, improve accuracy, lower operational costs, speed up service delivery, and free technicians to focus on higher-value tasks.

    What are the benefits of RPA?

    RPA benefits include: 

    1. Increased operational efficiency
    2. Reduced labor costs and better resource allocation
    3. Improved accuracy and consistency
    4. Faster response and resolution times
    5. Enhanced scalability
    6. Better integration across systems
    7. Stronger compliance and audit readiness
    8. Reduced technician burnout 
       

    Is RPA still relevant with modern AI tools?

    Yes. RPA remains a critical execution layer in IT automation. While AI enhances decision-making, RPA handles task execution across systems, making both technologies complementary.