AI automation vs RPA: what's the difference?
VGRPA (robotic process automation) follows fixed, rules-based steps and breaks when the input changes. AI automation reads messy, unstructured inputs and makes judgment calls. The best systems use RPA for the predictable parts and AI for the parts that need understanding.
These two terms get used interchangeably, but they solve different problems. Here's the clean distinction.
RPA: rules, repeated exactly
RPA is a digital worker that clicks the same buttons in the same order, every time. Perfect for stable, structured tasks: move this field to that system, generate this report every Monday. It's fast and reliable, but it breaks the moment the input looks different than expected.
AI automation: judgment on messy input
AI automation handles the things RPA can't: reading a freeform email and deciding how to route it, extracting data from a document that isn't in a fixed format, summarising a call. It deals with ambiguity instead of breaking on it.
The real answer: use both
- Use RPA for the structured, repetitive plumbing.
- Use AI for the steps that need reading, judgment, or generation.
- Chain them: AI decides, RPA executes.
RPA does the same thing perfectly. AI decides what the thing should be. Real systems need both.
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