What Is RPA? A Guide for SMEs
Erwin Berkouwer
RPA stands for Robotic Process Automation: software that takes over repetitive, rule-based tasks in digital systems by mimicking human actions, such as clicking, copying and entering data. No physical robot is involved, and no artificial intelligence making its own decisions either. An RPA robot follows exactly the steps you give it, over and over, without interpreting them.
How does RPA work?
An RPA robot ("bot") is essentially a script that operates the user interface of one or more programs, just as an employee would. The bot opens a program, reads data from a screen or file, fills in fields, clicks buttons and saves the result.
How it differs from a regular automation through an API or database link: RPA often works on the top layer of software, so it also works with older systems that have no modern integrations. That makes it attractive for companies with a patchwork of systems that don't talk to each other.
RPA does exactly what you program, nothing more and nothing less. If the process or the screen layout changes, the robot has to change with it. It doesn't think along.
Why does RPA matter for Dutch SMEs?
Many SMEs work with a mix of software: an accounting package, a CRM, email, Excel and maybe an industry-specific system. Because those systems often aren't connected, staff retype the same data several times. That costs time and leads to mistakes.
Typical tasks RPA is used for:
- retyping invoices from PDF into the accounting system;
- copying customer data between the CRM and the administration;
- processing orders from a fixed email format;
- compiling standard reports from several sources;
- checking and comparing data between two systems.
The big advantage: you usually don't need to build an expensive IT integration. RPA works on top of existing software, so investment and implementation time are relatively limited compared with a full system integration.
A concrete example
An accountancy firm receives invoices by email in a fixed template. An employee opens each invoice, reads off the amount and invoice number and types them into the accounting package. An RPA robot can take over those steps: pull the attachment out of the email, read the fixed fields and enter them in the accounting system. As long as the invoice format stays fixed, this works reliably. With this kind of volume work, a few hours a week of retyping can disappear, but the exact time saved depends heavily on the number of invoices and how standardised they are.
When does RPA fit, and when not?
RPA works well for tasks that:
- are fixed and predictable (same steps, every time);
- come up often or in large volumes;
- have few or no exceptions;
- run in stable systems whose interface rarely changes.
RPA fits less well when a task needs judgement, interpretation or weighing up, for example a customer question with a non-standard request, a borderline case or summarising an unstructured document. That is where you hit the limit of RPA: it is rule-based and can't handle situations outside the script.
RPA or AI agent?
This is the most important distinction. An RPA robot carries out predefined steps. An AI agent can interpret data, reason about the right next step and deal with variation and exceptions. Where RPA breaks as soon as a screen layout changes or an email is worded slightly differently than expected, an AI agent can often cope. You'll find a fuller comparison in AI agents versus RPA: when to choose which?.
| RPA | AI agent | |
|---|---|---|
| Basis | Fixed rules and scripts | Language model that reasons |
| Handling exceptions | No, it breaks or stops | Often yes |
| Suited for | Fixed, repetitive work | Variable, text-heavy work |
| Maintenance when things change | Manual reprogramming | Usually needs less adjustment |
In practice, companies often combine the two: RPA for the stable, repetitive part of a process and an AI agent for the part that needs judgement. Together they make up process automation in the broad sense: RPA, AI agents and integrations that streamline a process from start to finish. You can read more about this under automating business processes.
RPA as a first step, not the end point
For many SMEs, RPA is a logical first step: it is relatively quick to implement and fixes concrete, familiar annoyances. But it doesn't replace broader process automation or AI. If you want to go beyond retyping data, to handling customer questions automatically or summarising documents, you need more than an RPA script.
At UnifyAI, we first look at which part of a process is truly fixed and repetitive (a candidate for RPA) and which part needs judgement (a candidate for an AI agent). Want to know where your business has the biggest time gain? Run an AI scan or book an introduction call.
Frequently asked questions
Short, clear answers so you can decide faster.
Is RPA the same as artificial intelligence?
No. RPA follows predefined rules and scripts, without reasoning or learning on its own. Artificial intelligence, such as a language model in an AI agent, can interpret, weigh up and deal with variation. They are often combined, but technically they are different things.
Is RPA expensive to implement?
That depends on the complexity of the process and the tool you choose. Because RPA often works on top of existing software instead of replacing systems, the entry cost is usually lower than for a full IT integration. The exact cost varies a lot per process and supplier.
Which companies benefit most from RPA?
Companies with a lot of manual, repetitive work in stable systems, such as accountancy firms, logistics companies and organisations with heavy data entry, often see results fastest.
Can RPA make mistakes too?
Yes, if the input differs from what is expected or if a system changes without the robot being updated. RPA does exactly what was programmed, so unexpected input can lead to errors or a standstill. Good monitoring remains necessary.
