What Is RPA (Robotic Process Automation)?
RPA automates repetitive, rule-based tasks by mimicking clicks and keystrokes. Where it excels, where it breaks, and how it differs from AI agents.
Robotic process automation (RPA): software 'bots' that automate repetitive, rule-based tasks by mimicking human actions (clicking, copying, pasting, moving data between systems) following steps you define exactly.
Robotic process automation (RPA) is software ‘bots’ that automate repetitive, rule-based tasks by mimicking human actions (clicking, copying, pasting, moving data between systems) following steps you define exactly.
RPA scripts a fixed sequence across applications, often ones without good APIs, and repeats it reliably at volume. It’s deterministic: it does exactly what it’s told, which is its strength and its ceiling: it breaks when the process changes or an unscripted exception appears.
Why it matters
RPA delivers fast, cheap wins on stable, structured, high-volume work. The mistake is stretching it to handle judgement or variability, where it becomes a brittle web of exception-handling. That’s the line where AI agents take over, and where the two combine well.
How Finzarc thinks about it
We use rules-based automation for the deterministic core and agents for the judgement-shaped edges. See agentic AI vs RPA and GRN reconciliation automation.
Related
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Questions, answered.
What is RPA?
Robotic process automation uses software bots to automate repetitive, rule-based tasks by mimicking human actions (clicking, copying and moving data between systems) following steps you define exactly.
When does RPA break?
When the process changes or an exception appears that wasn't scripted. RPA is deterministic, so variability turns it into a brittle web of exception-handling, the point where AI agents are the better tool.
How is RPA different from an AI agent?
RPA follows fixed rules you script; an AI agent decides its own steps toward a goal and handles variety and exceptions. RPA is predictable and cheap for stable work; agents adapt but need guardrails.
30 minutes with the founding team. Bring the problem; leave with a scope, a timeline, and the number it should move.