RPA vs AI agents: which processes belong to which

Alexander Krastev · 2026-09-22

I have built software robots for banks and companies for several years, and I now build AI agents. The two are constantly compared as if one replaced the other. They did not. They fail in opposite ways, and that is the useful thing to know when choosing.

The difference in one sentence

A robot does exactly what it was told, every time. An agent works out what to do, every time.

That is the whole trade. A robot is perfectly repeatable and completely brittle: it clicks the button at those coordinates, reads that field, and the day the screen changes it stops — loudly, which is a virtue. An agent reads the screen or the document and decides; it copes with the new layout, and on a bad day it decides something slightly wrong, quietly, which is a vice.

Which belongs where

The work	Give it to a robot	Give it to an agent
The same screens, the same fields, every day	✔
Documents whose layout differs by sender		✔
A rule written in a manual: "if over 2,000, route to the manager"	✔
A judgement: "does this e-mail sound like a complaint?"		✔
Thousands of identical transactions, audited	✔
Tens of awkward cases a person currently handles		✔
A system with no API, only a desktop window	✔	✔ (with a tool that drives it)

The dividing line is not "old versus new". It is how much variation the input has. Low variation: a robot, and the determinism is worth more than the cleverness. High variation: an agent, and the price is that you must check its work.

They belong in the same process

The best pipelines use both. An agent reads the forty invoice layouts and turns them into clean rows; a robot takes those rows and types them into the accounting system that has no API, exactly the same way every time. The agent handles the mess at the front, the robot handles the discipline at the back, and a human approval step sits wherever the money is.

What an agent must have before you trust it

Everything a robot gave you for free, you now have to add deliberately: a log of what it did, a way to see which model ran, a place where doubtful cases wait for a person, and checks in code — totals that must add up, a company number that must pass its checksum — so that correctness does not depend on the model's mood.

That is the real work of building with agents, and it is why "just ask an AI" is not a plan.

Trying it

You can try AIK for free at aikautomation.com. To have it on your own computer or server, beside the robots you already run, you buy a licence and we install it for you. Get in touch.