RPA matters, but AI changes how automation works

Robotic Process Automation (RPA) has traditionally provided a practical solution for automating repetitive, rule-based tasks such as data entry and invoice processing, primarily in sectors like finance and customer support. However, as business processes become more complex and involve unstructured data like documents and messages, RPA's limitations become evident, especially in handling variability and changing inputs, which can lead to increased maintenance and reduced efficiency. Recent advancements integrate AI capabilities into automation platforms, transforming RPA into more adaptive systems that leverage machine learning and natural language processing. Companies like Appian and Blue Prism now offer AI-enhanced automation