This chapter elaborates on how NLP pushes RPA to tasks beyond rule-based activities, to areas involving complex processing such as document analysis, real-time decision-making, automation of customer services, etc. Key areas of enhancement pertain to the integration of sentiment analysis, chatbots, and intelligent extraction of data. Technical challenges and general implications of such integration are also covered in the chapter, like infrastructure requirements, avoiding biases, and responsible deployment. Changes in the workforce and equitable access to technology are two examples of managerial and social impacts. Understanding the potential and limitations of NLP-enhanced RPA will position an organization strategically to employ such technologies and optimize their operations toward innovation.