comparisonrpa
AI automation vs RPA: which one does your process need?
A side-by-side comparison of AI automation and robotic process automation, with a decision rule for when to use each or both.
Published: 5 min read
Written by: The AI KKV-nak teamThe comparison
The two approaches differ on almost every axis that matters for an SME.
| Criterion | RPA | AI automation |
|---|---|---|
| Works through | Screen clicks and keystrokes | APIs, webhooks and models |
| Unstructured input (email, PDF, speech) | Cannot interpret | Core strength |
| When the software UI changes | Breaks | Unaffected |
| Legacy systems without API | Handles them | Needs a bridge |
| Typical build time (SME) | 2–6 weeks | 2–3 weeks |
| Maintenance | High | Low to medium |
A decision rule
Ask two questions. Is the input something a person has to read or listen to? Then AI is required. Does the destination system have an API, database access or file import? If yes, no RPA. If no, RPA or a screen-driving step becomes the last mile.
An example that uses both
A wholesaler receives supplier invoices as PDF attachments. An AI model reads each invoice and extracts the fields. Validation checks totals and supplier IDs. The accounting system is a desktop ERP from 2009 with no API, so an RPA bot enters the validated data. Exceptions go to a bookkeeper with the PDF and the values side by side.
Frequently asked questions
Is RPA cheaper than AI automation?
The build can be, but maintenance usually is not: every interface update risks breaking the bot. Over a year, API-based AI automation is typically cheaper to run.
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