Robotic process automation (RPA) is software that copies what a person does on a screen: clicking, typing, copying values between applications, following fixed rules. AI automation uses models, usually language models, to handle work that is not fixed, such as reading a free-text email or an invoice layout it has not seen before. RPA follows rules; AI interprets. Most real workflows need a bit of each, and our workflow automation service is built around choosing the right mix.
What is robotic process automation?
RPA uses “bots” that operate other software through its user interface, much as an employee would. A bot logs into a portal, opens a spreadsheet, copies a reference number into a form, clicks Submit, and moves on to the next row. It does not understand the content. It follows a script, and it does so consistently.
RPA became popular because it works with systems that have no API: older desktop software, supplier portals, mainframe screens. You can automate them without changing them. Typical jobs are data entry between systems, report downloads, and routine checks where the rules are always the same.
The weakness is brittleness. If a button moves, a field is renamed or a page loads slowly, the bot can stop or, worse, carry on with the wrong data. Someone has to maintain the scripts.
What is RPA software?
RPA software is the platform used to build and run those bots. UiPath, Automation Anywhere and Blue Prism are long-standing names, and Microsoft’s Power Automate includes a desktop flow option for UI automation. They usually provide a designer, a recorder that captures your clicks, a runner that executes bots, and an orchestrator to schedule and monitor them. Licensing models differ by vendor and change over time, so check current terms with each one.
What is AI workflow automation?
AI workflow automation puts a model inside a workflow to do the parts that need understanding. Examples: classify an incoming email, extract the supplier, date and total from a PDF invoice with an unfamiliar layout, summarise a long thread, or draft a reply. The surrounding workflow (receive, look up, write to the system, notify) is still ordinary automation. The model handles one step that used to need a person to read something.
Models are probabilistic. They can be wrong with great confidence, so a good design includes validation (does the total match the line items?), a confidence threshold, and a person reviewing anything doubtful.
RPA vs AI automation: how do they differ?
| RPA | AI automation | |
|---|---|---|
| Works from | Fixed rules and scripts | Instructions and examples |
| Input it copes with | Structured, predictable | Free text, varied documents |
| Typical failure | Stops when the screen changes | Gives a plausible wrong answer |
| Output | Same every time | Can vary between runs |
| Setup effort | Recording and scripting | Prompting, testing, validation |
| Best for | Repetitive screen work | Reading, classifying, drafting |
The failure modes matter most. A broken RPA bot is usually obvious. A wrong AI answer can look fine, so it needs checks built around it.
What is process automation more broadly?
Process automation is the umbrella term: using software to run a business process with less manual effort. It includes simple rules inside your own tools, integrations between systems via API (the approach behind n8n, Make and Zapier), RPA, and AI steps. If a system offers an API, connecting through it is generally more reliable than driving its screen, so reserve RPA for places where no API exists.
When does each one fit?
Choose RPA when the input is structured, the rules never change, and the system has no usable API. Example: copying figures from a supplier portal into an internal sheet every morning.
Choose AI automation when the input is unstructured or varies. Example: customer emails, scanned documents, free-text forms. Our catalogue includes duplicate invoice detection and bank reconciliation, where matching and judgement matter more than clicking.
Choose plain API automation when both systems have APIs and the logic is simple. It is the cheapest and most stable option.
Use a combination when a process has both kinds of step.
How RPA and AI work together
A realistic example: invoices arrive by email in different formats. An AI step reads each one and extracts supplier, invoice number, date and amounts. A validation step checks the numbers add up and flags mismatches for a person. Then, if the accounting system has an API, the workflow posts the entry directly. If it only has a desktop screen, an RPA bot keys the data in. AI does the reading, rules do the checking, RPA or an API does the writing.
We discuss this progression in beyond RPA: intelligent automation. The practical lesson is that you rarely replace RPA wholesale. You add AI to the step RPA could never handle, and keep the rule-based parts rule-based.
Frequently asked questions
What is robotic process automation in one sentence?
It is software that imitates a person’s keystrokes and clicks in other applications to perform repetitive, rule-based tasks.
Is RPA the same as AI?
No. RPA follows pre-written rules and does not learn or interpret. AI models interpret unstructured input. Some vendors now bundle AI features into RPA platforms, which is where the two overlap.
Is RPA still worth it with AI available?
Yes, for stable, structured tasks in systems without APIs. It is often cheaper and more predictable than using a model for work that does not need judgement.
What are the risks of AI automation compared with RPA?
AI can produce plausible but wrong output, and results can vary between runs. Mitigate with validation rules, human review of low-confidence cases, and logging. If personal data is involved, consider GDPR, as covered in our guide to GDPR and AI automation.
Where Automata fits
We build workflow automation that uses whichever mix suits the job: API integrations first, AI for the steps that need reading or judgement, and screen automation only where there is no alternative. Many processes are already covered by a fixed-price automation, for example email thread logging to your CRM.
Not sure which approach your process needs? Contact us with a description and we will give you a straight answer.