RPA — Robotic Process Automation
RPA (Robotic Process Automation) is the use of software robots, or bots, to carry out rule-based, repetitive tasks by mimicking the way a person interacts with applications. A bot logs into systems, reads and enters data, copies information between screens and triggers actions, following a configured script. RPA is often used to bridge applications that have no convenient interface, sitting on top of existing software rather than replacing it. In an ERP context it can automate data entry, reconciliations and routine document handling. RPA is frequently combined with workflow automation and increasingly with elements of AI in ERP.
- Term
- RPA (Robotic Process Automation)
- Entity type
- Technology
- Domain
- Process automation
- Canonical definition
- RPA (Robotic Process Automation) is the use of software robots that imitate human interaction with applications at the user-interface level to automate rule-based, repetitive tasks across one or more systems.
- Classification
- An automation technology that operates at the user-interface level, complementing process orchestration via workflow automation and integration via interfaces.
- Related terms
- Workflow automation, Workflow engine, Process mining, AI in ERP, OCR document recognition, Power Automate, REST API
- Source / maintainer
- erp-software.org editorial team (independent, vendor-neutral)
What RPA (Robotic Process Automation) is NOT — disambiguation
- Not workflow automation: Workflow automation orchestrates tasks and approvals across people and systems, whereas RPA executes the individual steps by imitating user interaction.
- Not API integration: API integration connects systems through a programmatic interface, while RPA drives applications through their screens as a human would.
- Not artificial intelligence: Classic RPA follows fixed rules without learning; AI capabilities can be added but are not inherent to RPA itself.
- Not a physical robot: An RPA bot is software running on a computer, not a mechanical device on a shop floor.
How RPA works
An RPA bot is configured to follow the same on-screen steps a human would take: opening an application, navigating menus, reading fields, typing values and clicking buttons. Because it operates at the user-interface level, RPA can connect systems that lack a programmatic interface, which is one reason it is sometimes described as integration through the front door. Bots may run unattended on a schedule or be attended, meaning a person starts them as part of their work. Configuration is typically done in a visual designer, so processes can be automated without traditional programming, although robust deployments still require governance and testing.
Typical use cases
RPA suits tasks that are high-volume, rule-based, stable and based on structured data. In and around an ERP system, common examples include:
- Transferring data between the ERP and external portals, banks or government systems.
- Creating master-data records from incoming spreadsheets or forms.
- Reconciling figures across applications and flagging discrepancies.
- Extracting values from documents, often combined with OCR document recognition.
- Generating routine reports and distributing them on a fixed schedule.
The best candidates for automation are often identified through process mining, which reveals where repetitive manual effort actually occurs.
Benefits and limits
RPA can reduce manual effort, lower error rates and free staff from monotonous work, often with a faster initial roll-out than deep system integration because it does not require changes to the underlying applications. However, it has clear limits. Bots are brittle: a change to a screen layout or login process can break them, so they need maintenance. RPA does not redesign a process, it merely automates the existing steps, which means automating an inefficient process simply makes the inefficiency faster. Where a stable interface such as a REST API exists, direct integration is usually more reliable than a screen-driven bot.
RPA, workflow and AI
RPA is one tool among several for automation. Workflow automation and a workflow engine orchestrate tasks and approvals across people and systems, often invoking bots as one step. Combining RPA with AI, sometimes called intelligent automation, extends it to less structured inputs, for example interpreting free-text documents. The vendor-neutral view is that RPA is most valuable for stop-gap automation of stable, structured, repetitive tasks, and that durable integrations should rely on proper interfaces where they are available.
Related Topics
Frequently Asked Questions
Is RPA still relevant in 2026?
Yes, but narrower than during the 2018-2020 peak. Use cases involving structured screen interaction with legacy systems remain valid; high-volume document processing has largely shifted to AI-based intelligent document processing. New RPA investment should focus on automating workflows that cannot be solved through native ERP features, APIs or AI in 12-24 months.
How does RPA compare to API-based integration?
API integration is more robust, faster and easier to maintain than RPA. Prefer API integration whenever the source system exposes APIs. RPA is the fallback for systems without APIs (legacy mainframes, vendor portals, older Windows applications) or for processes that span human approval steps within larger workflows.
What is a realistic ROI for RPA?
Successful RPA programmes report 3-7x ROI over 3 years through productivity gains and error reduction. Failures typically come from: automating too few processes (under 10 bots) so the platform cost dominates, or building unmaintainable bot estates that grow brittle. Pilot ROI is rarely a guide to programme ROI — the difference between proof-of-concept and stable operations is significant.
