RPA vs. Generative AI: Which Is the Best Choice for Automation?

When automating processes, we often get the question: Which is better, RPA (Robotic Process Automation) or the use of generative AI? Although it is tempting to see one technology as the solution, the real answer lies in a combination of techniques tailored to the specific challenge.

RPA and Generative AI: What are the differences?

RPA is designed to automate repetitive and structured tasks, such as filling out forms, processing data, and executing workflows. It works on the basis of clear rules and follows fixed processes.

Generative AI, such as language models, goes one step further. This technology can perform creative and language-related tasks, such as drafting texts, analyzing complex data sets, or even communicating with customers. It is particularly powerful in situations where context and variation play a role.

While both technologies have unique strengths, it's not a matter of if, but rather and.

The strength of the combination

Most automation issues require a mix of technologies:

• RPA for structuring and streamlining repetitive processes.
• Generative AI to address language- or context-based tasks.
• Data analysis to recognize patterns and generate insights that support decisions.

By looking at the challenge flexibly and contextually, you can use exactly the right technologies.

Example: Invoice Processing

Imagine that an organization wants to automate its invoice processing.

• RPA can be used to automatically download invoices and extract the relevant fields.
• Generative AI can help understand exceptions, such as inaccurate or unclear data.
• Data analysis can recognize trends in invoices and provide advice on supplier performance.

This example shows that an interplay of technologies often offers the most effective solution.

Solution over technology

At The Automation Group, we believe that technology is a tool, not an end in itself. It's always about the solution: what does the organization need, and how can technologies contribute to a more efficient process?

That is why we advise organizations to look at technology from a broad perspective and to understand the possibilities. By using a combination of tools and techniques smartly, the most valuable solution is created.

Conclusion: Automation isn't about what's better — RPA or generative AI — but about choosing the right combination of technologies to solve the problem.

Do you want to know how we can help your organization use technology smartly? Contact us and discover the possibilities!

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