10 Best RPA Tools (September 2026)

Robotic process automation has expanded from scripted desktop bots into a broader automation layer that can coordinate applications, APIs, documents, AI agents, and human approvals. The strongest RPA platforms still excel at reliable, rules-based work, but they now add process discovery, intelligent document processing, natural-language assistance, centralized governance, and orchestration across complete business workflows.

This ranking compares platforms with different strengths. UiPath and Automation Anywhere offer broad enterprise automation ecosystems; Microsoft Power Automate, ServiceNow, and SAP Build fit organizations already standardized on their respective platforms; SS&C Blue Prism emphasizes governance; Pega and Appian connect RPA to case management and low-code workflows; NICE specializes in employee-assisted automation; and Fortra Automate makes practical desktop and IT automation accessible without extensive coding.

Our team independently evaluated every solution in this guide, assessing RPA depth, attended and unattended execution, AI capabilities, orchestration, integration coverage, development experience, administration, security, governance, and implementation demands. Buyers should begin with a clearly defined process, measure exception rates, test recovery behavior, and establish ownership for credentials, bot changes, audit logs, and human escalation before expanding an automation program.

Best RPA Tools Compared

1. UiPath

UiPath ranks first because it offers the broadest path from individual task automation to governed, enterprise-wide orchestration. Its platform combines visual development in Studio, attended assistants, unattended robots, process and task mining, intelligent document processing, testing, and centralized operations. UiPath has also extended RPA through agentic automation, allowing software robots, AI agents, people, and application integrations to participate in the same end-to-end process.

The platform is suited to organizations automating across ERP systems, virtual desktops, legacy applications, browsers, documents, and cloud services. Developers can build detailed automations, while less technical users can work through guided tools and reusable activities. Maestro provides an orchestration layer for coordinating agentic processes, and the wider ecosystem offers templates, connectors, training, governance tools, and implementation expertise that help large programs scale beyond isolated bots.

UiPath is best for enterprises that want one strategic automation platform and can support a formal operating model. Its breadth also creates complexity: teams need standards for development, testing, credentials, monitoring, exception handling, and change management. UI-driven automations can still break when target applications change, and AI-assisted steps require additional evaluation and oversight. For smaller teams with a narrow Microsoft or departmental workflow, a lighter platform may be easier to operate.

2. Automation Anywhere

Automation Anywhere places cloud-native RPA inside an agentic process automation platform. AI Agent Studio lets organizations build agents that can use enterprise context and tools, while software bots continue to handle deterministic application actions. The wider platform includes process discovery, document automation, bot development, centralized operations, and governance, giving teams one environment for combining reasoning-oriented AI with repeatable execution.

This design is particularly useful when a workflow contains both structured and unstructured work. Document Automation can extract information from business documents, an AI agent can evaluate context or choose a path, and a bot can enter the approved result into a system that lacks an API. The cloud control plane supports centralized deployment and monitoring, while reusable components help automation teams establish consistent patterns across departments and hybrid application environments.

Automation Anywhere ranks second because it offers one of the clearest enterprise strategies for joining RPA and AI agents without discarding the dependable bot layer. It remains primarily an enterprise platform, however, and successful deployment requires process redesign, security review, data access planning, and ongoing operational ownership. Organizations should test how agent decisions are constrained, logged, and escalated rather than assuming that a more autonomous workflow is automatically a safer or better one.

3. Microsoft Power Automate

Microsoft Power Automate is the most natural RPA choice for organizations already working in Microsoft 365, Power Platform, Windows, Azure, and Dynamics. Cloud flows automate API-connected services and business events, while desktop flows record or build user-interface actions for modern and legacy Windows applications. These layers can be combined so a cloud event triggers a desktop automation and returns the result to a broader workflow.

Power Automate for desktop includes a visual designer, recorders, prebuilt actions, variables, loops, exception handling, web automation, Excel automation, and scripting options. Machines can be connected to the cloud for scheduled execution, and hosted RPA options reduce the need to provision every runtime manually. The platform also benefits from Microsoft connectors, Dataverse, Teams approvals, and Copilot assistance, making it approachable for departmental automation as well as centrally managed programs.

Power Automate ranks third because it delivers exceptional ecosystem fit and makes RPA accessible to both business users and developers. Its strongest value appears when identity, data, productivity applications, and administration are already standardized on Microsoft. Complex desktop automations still demand careful selectors, exception handling, testing, and machine management. Teams must also distinguish personal flows from production processes and establish ownership before a useful employee automation quietly becomes business-critical infrastructure.

4. SS&C Blue Prism

SS&C Blue Prism is designed for organizations that treat automation as a controlled digital workforce rather than a collection of personal macros. Its platform brings digital workers, process orchestration, AI agents, and human work into WorkHQ, with an emphasis on auditability, operational visibility, reusable components, and policy-driven management. That governance-first approach is especially relevant in banking, insurance, healthcare, government, and other regulated environments.

Blue Prism automations can interact with legacy and modern systems while centralized teams manage schedules, workloads, access, releases, and exceptions. WorkHQ acts as a control plane for coordinating work across humans and machines, and the platform’s AI capabilities are framed around governed enterprise adoption. Reusable business objects encourage teams to separate application interaction from process logic, which can make large automation estates easier to maintain when implemented consistently.

Blue Prism ranks fourth because its operating model remains one of the strongest choices for security-conscious enterprises that prioritize control and traceability. The same structure can feel heavy for small teams or rapid, informal experimentation. Deployments generally benefit from experienced architects, documented design standards, controlled release processes, and a center of excellence. Buyers should also evaluate usability for business stakeholders, not only technical capability, because sustainable automation depends on process owners understanding how exceptions and changes are handled.

5. Pega

Pega treats RPA as one execution capability inside a wider platform for case management, business rules, workflow automation, process intelligence, and AI-assisted decisioning. Robot Studio provides a low-code environment for building automations, while Robot Manager supports deployment, work queues, performance monitoring, and operations. Both attended and unattended patterns are available, allowing bots to assist employees in real time or process work in the background.

The platform is particularly valuable when a bot action is only one stage in a long-running case. A process can collect information, apply rules, request a human decision, invoke an automation against a legacy interface, and continue tracking the case afterward. Pega also emphasizes self-healing and application-change resilience, which can reduce some maintenance when interface elements move. Its broader process capabilities make it suitable for customer service, operations, onboarding, claims, and other exception-heavy workflows.

Pega ranks fifth because it is strongest when organizations need RPA connected to complex enterprise work rather than deployed as an isolated tool. That breadth is unnecessary for a team that only wants a few desktop bots, and implementation can require substantial process modeling and platform expertise. Buyers should evaluate how much of the Pega architecture they will actually use, how existing case systems will be migrated or integrated, and whether business owners can maintain the resulting workflows over time.

6. Appian

Appian embeds RPA inside a low-code process platform that also includes workflow orchestration, case management, AI, intelligent document processing, business rules, and a data fabric. Its task recorder and visual design tools help teams create bots for systems without suitable APIs, while the surrounding platform coordinates handoffs between those bots, employees, and connected applications. Appian supports robot execution across Windows, Linux, and macOS environments.

The unified model is useful when an organization wants to automate an end-to-end process rather than optimize a single click path. Bots can retrieve or enter information in a legacy system, workflows can route exceptions, AI can classify content, and the data fabric can present connected information without forcing every source into one new database. Appian’s low-code interface also allows process owners and developers to collaborate around the same application and operational context.

Appian moves to sixth because it provides a strong balance of RPA, orchestration, and application development. It is best for organizations that want to build process applications around their automations; teams seeking only a standalone desktop tool may find the platform broader than necessary. Successful adoption still requires architecture, governance, testing, and careful data access controls. Low-code reduces hand-written code, but it does not remove the need for experienced design when workflows span critical systems and regulated information.

7. ServiceNow RPA Hub

ServiceNow RPA Hub brings attended and unattended robots into the Now Platform, allowing desktop automation to become an action inside larger enterprise workflows. Teams can design automations for repetitive interface work, manage robots centrally, and invoke them through Flow Designer alongside ServiceNow approvals, records, integrations, and employee experiences. Its library of reusable components reduces the need to construct every common desktop action from the beginning.

The platform is particularly compelling for organizations already using ServiceNow to manage IT, employee, customer, security, or operational work. An incoming request can trigger a workflow, call a robot to interact with a legacy application, update the ServiceNow record, and route an exception to an employee without creating a separate orchestration layer. Central operations and platform-level governance also help connect robot activity to the process records that business and IT teams already monitor.

ServiceNow enters at seventh because it is a credible RPA platform with exceptional workflow context for existing Now Platform customers. Its relative advantage declines when ServiceNow is not already the system coordinating work. Teams should confirm desktop-application support, runtime architecture, component coverage, and ownership for production robots before standardizing on it. As with other ecosystem platforms, the best outcome comes from treating RPA as one controlled action in a redesigned process rather than simply reproducing every existing manual step.

8. SAP Build Process Automation

SAP Build Process Automation combines low-code workflows, business rules, forms, robotic process automation, document processing, and AI-assisted development within SAP Business Technology Platform. It is designed to automate work across SAP applications and third-party systems, with prebuilt content and integrations that can accelerate common processes involving S/4HANA, SuccessFactors, Ariba, and other enterprise applications.

RPA bots can handle user-interface steps where direct integration is unavailable, while workflows coordinate approvals, decisions, notifications, and human tasks. This allows an SAP-centered process to move beyond a single bot: a document can be captured, business rules applied, an employee asked to resolve an exception, and a robot invoked to complete a legacy transaction. Builders can work visually, and centralized services support deployment and ongoing process management.

SAP Build moves to eighth because its ecosystem integration can make it the most efficient option for organizations whose critical processes already live in SAP. It is less compelling as a neutral, general-purpose RPA standard when an enterprise has little SAP infrastructure. Buyers should assess available prebuilt content, non-SAP integration needs, bot runtime requirements, and the division of responsibility between process teams and SAP administrators. Complex automations still require testing against application updates and authorization changes.

9. NICE Robotic Automation

NICE Robotic Automation focuses on work performed at the employee desktop, particularly in contact centers and other high-volume service environments. NICE’s NEVA technology acts as a real-time assistant that can retrieve information, populate fields, guide an employee through required steps, and execute background actions while the employee remains engaged with a customer. The platform also supports unattended robots for structured back-office processing.

This attended-automation depth differentiates NICE from platforms oriented mainly around centralized, lights-out bot farms. A virtual assistant can react to interaction context, surface the next action, enforce required procedures, and reduce repeated navigation across several applications. Discovery and analytics capabilities help identify tasks suitable for automation, while development tools allow attended and unattended workflows to be managed as part of the same broader automation practice.

NICE ranks ninth because it remains one of the strongest specialized choices for contact-center automation, even as broader RPA platforms add employee-assistance features. Organizations without large agent populations or interaction-heavy workflows may gain more from a general platform. Buyers should evaluate latency, desktop compatibility, agent experience, exception behavior, and how automation affects customer conversations. Poorly designed assistance can distract employees, so workflows should be piloted with real users and refined around service outcomes.

10. Fortra Automate

Fortra Automate is a practical no-code RPA platform for desktop, departmental, and IT automation. Its form-based, drag-and-drop task builder and recorder let users automate browser actions, files, email, data movement, application interfaces, databases, reports, user provisioning, and other repetitive work without constructing every workflow as a custom script. The product family scales from individual desktop automation to centrally managed enterprise execution.

Automate Plus adds a distributed digital workforce, centralized management, concurrent execution, and coordination across users, servers, agents, and workflows. More than 600 prebuilt actions cover common business and IT operations, while attended and unattended deployment supports both employee-triggered tasks and scheduled background processes. This makes Fortra particularly useful for organizations that want to replace fragile scripts or manual operations without adopting the largest enterprise automation suite.

Fortra enters at tenth because it offers clear category fit, approachable development, and a credible route from a single task to broader automation. Its ecosystem, process intelligence, and agentic orchestration are not as extensive as those of the leaders, and highly complex transformation programs may need additional workflow or AI platforms. Teams should still apply software-engineering discipline to reusable tasks, credentials, logging, testing, and change control, even when the initial bot was built without code.

How to Choose an RPA Platform

Start with the systems and operating model surrounding the process. UiPath and Automation Anywhere are the strongest broad enterprise choices. SS&C Blue Prism suits governance-intensive programs, while Pega and Appian connect bots to case-oriented and low-code process applications.

Ecosystem fit can outweigh a longer feature list. Microsoft Power Automate is compelling for Microsoft-centered organizations, ServiceNow RPA Hub brings bots into Now Platform workflows, and SAP Build Process Automation is optimized for SAP processes. NICE Robotic Automation stands out for attended contact-center work, while Fortra Automate is an accessible option for desktop, departmental, and IT automation.

Before selecting a platform, run a controlled pilot using a process with measurable volume, stable inputs, and clear exception paths. Evaluate maintainability, not just whether the bot completes a happy-path demo. The right platform should make credentials, deployment, monitoring, audit trails, human escalation, and application changes manageable throughout the automation’s full operational life.

Frequently Asked Questions

What is robotic process automation?

RPA uses software robots to perform repetitive digital tasks through application interfaces, browsers, files, and other systems. It is especially useful when a process is rules-based and an application lacks a practical API.

What is the difference between attended and unattended RPA?

Attended robots work with an employee and are normally triggered during active desktop work. Unattended robots run independently on managed machines or servers, usually processing scheduled or queue-based work in the background.

How does agentic automation differ from traditional RPA?

Traditional RPA follows defined rules and actions. Agentic automation can add context interpretation, planning, or adaptive decisions through AI agents, then use robots or APIs to execute approved actions. Those decisions require additional controls, evaluation, and human escalation.

Can RPA automate legacy systems?

Yes. RPA can interact with many legacy interfaces through user-interface elements, images, keyboard input, and terminal automation. Reliability depends on interface stability, selector quality, error handling, and regression testing after application changes.

What should an organization automate first?

Begin with a stable, high-volume, rules-based process whose inputs, outputs, exceptions, and owner are well understood. Avoid making a highly variable or poorly governed process the first production automation.