Robotic Process Automation (RPA) remains important. It is mainly used to handle repetitive, rule-based tasks in stable environments, as it delivers efficiency and quick returns. However, RPA reaches its limits with more complex processes and unstructured data, and it often needs to be adjusted when conditions change.

Artificial intelligence is fundamentally reshaping automation by enabling systems to interpret data, adapt, and make decisions beyond fixed rules. However, AI does not replace RPA—it complements it. As a result, companies are increasingly combining both technologies to manage a broader range of workflows and processes. This improves scalability, resilience, and overall performance.