This paper presents a hybrid approach combining Robotic Process Automation (RPA) and Artificial Intelligence (AI) to automate unstructured business processes, which are often beyond the scope of traditional RPA systems. Traditional RPA has been successful in automating repetitive, rule-based tasks but struggles with processing unstructured data such as documents, emails, and customer interactions. By integrating Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML) into RPA workflows, this paper proposes an Intelligent Process Automation (IPA) approach that enhances automation capabilities. A use case in document processing demonstrates the effectiveness of this hybrid approach, showing improvements in accuracy, efficiency, and error reduction compared to traditional RPA. The results highlight the potential of combining RPA and AI to optimize business processes, reduce human intervention, and increase operational efficiency.