What the comparison is about
Process automation with AI vs. classic RPA compared.
Anyone who wants to automate faces a basic question: is classic RPA enough, or do you need process automation with AI? Both are not opponents but tools for different cases. This comparison helps you decide without a straw man and without sales pressure. It shows where pure rule automation is the leanest choice and where AI makes the decisive difference, so a process does not stop at every exception.
What comes in: PDF invoices, E-mail requests, Orders, Forms, Excel sheets, Onboarding. AI + RPA. Where it lands: SAP, CRM, DATEV, Approval.
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The comparison table
| Criterion | Classic RPA | Process automation with AI |
|---|---|---|
| Process type | rule-based only | also unstructured |
| Inputs | fixed formats | PDFs, free text, edge cases |
| Setup | heavy | leaner with AI |
| Integration | point-to-point | SAP, CRM, DATEV connected |
| ROI evidence | hard | proven on the pilot |
| Maintenance | high on changes | more robust |
| Audience | often enterprise | Mittelstand |
What the table means in plain terms
Classic RPA is strong as long as the world stays rule-based and every input looks the same. It reliably mimics interface clicks and is often the leanest solution for fixed formats. Its problem starts with deviations. If an invoice layout changes or a request arrives in free text, it breaks or hands the case back to a human, and maintenance gets expensive. Process automation with AI steps in right before that. The AI reads and understands the unstructured part, the RPA layer executes, and integration into SAP, CRM and DATEV ensures results land in the system without retyping. For the Mittelstand it also matters that setup stays lean and the value is provable on the pilot instead of vanishing into a large project. The honest answer is often both, depending on the process. We choose on the case rather than by principle.
How you decide
Ask how often a process has exceptions and how uniform the inputs are. If they are fixed and rule-based, RPA is enough. If they vary, AI in front pays off. Our decision guide on RPA leads you to a clear recommendation with a few questions. More depth on Process Automation with AI and RPA explained simply.
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