RPA vs AI agent: what's the actual difference?
Both promise to automate your processes, and both deliver, but not on the same tasks nor in the same way. Clear definitions, a step-by-step example and vocabulary without jargon.
RPA robot
01open the invoices screen
02copy cell B4
03paste into the Amount field
layout changed → failure
AI agent
Reads the document, whatever its format
Understands amounts, dates, references
Applies your business rules
Doubtful case → flagged for validation
Definition
What is RPA?
RPA (Robotic Process Automation) is software that replays human actions on interfaces: open a screen, click, copy, paste. The robot follows a script written in advance, action by action, down to the exact coordinates.
That's its strength and its limit: as long as nothing moves, it's fast and tireless. But it doesn't understand what it handles: move a screen, add a column, and the script has to be rewritten. The main platforms are detailed in our RPA tools comparison.
Definition
What is an AI agent?
An AI agent relies on an AI model to carry out a task end to end: it reads the content, understands its structure and decides within a frame you define: your rules, your formats, your thresholds.
It doesn't replay gestures: it works on substance. A never-seen but similar document is handled; an ambiguous case is set aside and flagged to a person instead of being processed silently. To choose based on your processes, see the RPA alternative.
The same invoice, two treatments
Nothing beats an example: a supplier invoice arrives, with a layout slightly different from the previous one.
The RPA robot
- 01
The robot opens the invoice and moves to the coordinates set by the script.
- 02
It copies the amounts from where they should be, field by field.
- 03
The supplier changed their layout: the coordinates no longer match.
- 04
The run fails. Or worse: a wrong value is pasted and nobody sees it.
The AI agent · ERHA
- 01
The agent reads the whole invoice, whatever its layout.
- 02
It identifies amounts, dates and references, because it understands the document's structure.
- 03
It applies your business rules and checks that the totals add up.
- 04
A doubtful line? It's flagged for human validation; the rest is delivered.
What it changes in practice
Tolerance to change
A moving format breaks nothing: there's no script to rework, understanding absorbs the variation.
Exception handling
The edge case is no longer a failure: it's detected, set aside and submitted to a person who decides.
Traceability
Every decision is justified: you know why a value was kept, corrected or flagged.
Skills required
No RPA developer to hire: the agent is set up on your real files and your business rules.
The vocabulary, without jargon
Five terms that come up in every automation discussion, explained simply.
- RPA (Robotic Process Automation)
- Software that replays human actions on interfaces: open, click, copy, paste. Effective as long as nothing changes on screen.
- AI agent
- A program that relies on an AI model to carry out a task: it reads, understands and decides within a defined frame, then accounts for its choices.
- LLM (large language model)
- The understanding engine: trained on huge volumes of text, it can read and interpret documents it has never seen.
- Human-in-the-loop
- A control principle: automation processes, a person validates the doubtful cases and keeps the final say.
- Orchestration
- The supervised sequence of steps (read, process, check, deliver), with handovers between agents and people.
Frequently asked questions
Can an AI agent make mistakes?
Yes, like any system. The difference is that it knows: uncertain cases are re-checked, then flagged for human validation instead of being processed silently. Every decision stays justified and verifiable.
Is RPA going to disappear?
No. On a perfectly stable process, a robot remains unbeatable. What changes is the boundary: interpretation tasks (reading, extracting, checking) are moving to AI agents.
Do you need to code to use an AI agent?
No. ERHA is set up on your real files and business rules by our team; your teams launch runs and validate flagged cases from a simple interface.
Ready to get that time back?
We'll show you ERHA on one of your own files, in 30 minutes.