What Is RPA?
RPA (Robotic Process Automation) is technology that uses software bots to carry out repetitive, rule-based digital tasks. Rather than working with physical robots, RPA bots operate inside computer systems, mimicking the actions a person would take, clicking buttons, copying values, filling in fields, and moving information between applications. The aim is to take routine, high-volume work off people so they can spend their time on tasks that need judgement.
The word "robotic" can be misleading. An RPA bot is simply a configured piece of software that follows a defined sequence of steps. It does not think or decide for itself. If the process changes, the bot has to be reconfigured. This makes RPA well suited to stable, predictable work and less suited to tasks that vary from one case to the next.
Businesses usually turn to RPA when a task is high in volume, low in variation, and currently done by hand. Capturing the same fields from hundreds of forms each month, or reconciling two systems that do not talk to each other, are typical starting points. The value is consistency and speed rather than intelligence, the bot does the same thing the same way every time, without the small errors that creep into manual work.
How RPA Works
RPA works by recording or configuring the exact steps a process follows, then running those steps automatically on a schedule or trigger. Because the bots interact with software the way a person does, they can sit on top of existing systems without changing the underlying applications. This is part of why RPA has been adopted across finance, admin, and operations teams.
Common tasks that suit RPA include:
- Data entry: moving records from spreadsheets or forms into a CRM, accounting package, or database.
- Report pulls: logging into platforms, downloading the same reports each week, and saving them in a shared location.
- Invoice handling: reading details from invoices, matching them to purchase orders, and capturing them for approval.
Because RPA follows fixed rules, it is most reliable when the inputs are consistent and the steps rarely change. When a website layout shifts or a form adds a new field, the bot can break until it is updated, so maintenance is part of running RPA well.
RPA vs AI Agents
The clearest difference is how each handles a task. RPA follows fixed, pre-defined rules and does exactly what it is told, step by step. It does not interpret meaning or change its approach. An AI agent works differently, it can take in unstructured information, reason about a goal, and adapt its actions to situations it was not explicitly programmed for.
In practice, the two are often combined. RPA handles the repeatable, structured steps reliably, while AI is used for the parts that need interpretation, such as reading a free-text email or deciding which exception needs a human. Used together, RPA provides the dependable execution and AI adds flexibility, which is why "intelligent automation" pairs both rather than treating them as rivals.
FAQ
What is RPA used for?
RPA is used to automate repetitive, rule-based digital tasks such as data entry, copying information between systems, pulling routine reports, and processing invoices. It is best suited to high-volume work that follows the same steps every time.
Is RPA the same as artificial intelligence?
No. RPA follows fixed, pre-defined rules and does exactly what it is told. Artificial intelligence and AI agents can interpret unstructured information, reason about a goal, and adapt to situations they were not explicitly programmed for. The two are often combined.
Does RPA require coding?
Many RPA platforms use low-code or no-code visual builders, so simple bots can be configured without traditional programming. More complex workflows that span several systems usually benefit from technical input to keep them reliable.