Comparison & definitions
RPA follows fixed steps. An AI agent decides its own steps.
RPA does exactly what you told it. An AI agent does what you meant.
In short
RPA (Robotic Process Automation) mechanically executes predefined steps on fixed interfaces and breaks with any change in screen or format. An AI agent understands a goal, reasons about how to reach it, and adapts to unforeseen variations — for example, a differently worded email or a document in an unusual format.
- RPA: fixed steps, breaks with any interface change
- AI agent: goal + reasoning, adapts to variation
- RPA suits fully stable, repetitive processes
- AI agents suit processes with variation and exceptions
How each one works, briefly
RPA records clicks and steps in an interface and repeats them identically. If the interface changes or an unforeseen exception arises, the robot stalls. An AI agent, instead, receives a goal and chooses its own steps, using tools (APIs, databases) and adapting along the way.
When to choose RPA and when to choose an AI agent
They aren’t competing technologies — often they complement each other.
- RPA: fully stable, high-volume processes, fixed rules (e.g. copying data between two legacy systems)
- AI agent: processes with variation (emails, diverse documents, contextual decisions)
- Combination: RPA for mechanical steps, AI agent for interpretation and exceptions
What we usually recommend
We start from the real process in your business and choose the right technology — we don’t sell RPA because it’s fashionable or AI agents for every problem. Sometimes the right answer is hybrid.