Process Mining (PM) provides techniques for analyzing event logs to support evidence-based improvement and process discovery. However, multi-organizational collaborative processes remain difficult to design and analyze due to their distributed nature and technological diversity. Recent advances in Large Language Models and Robotic Process Automation offer new opportunities to support process discovery, modeling, and automation. In parallel, Green BPM emphasizes the need to incorporate sustainability considerations into process design and execution. This project aims to define and evaluate techniques, algorithms, methodologies, and strategies for integrating PM with RPA and Generative AI, considering sustainability elements for the design, automation, and analysis of hyper-connected collaborative processes for e-Government, leveraging real data from the Uruguayan Digital Government Agency (AGESIC), linking theoretical and practical results.