AI-ENABLED RPA FOR SUSTAINABLE BUSINESS PROCESS AUTOMATION
DOI:
https://doi.org/10.7492/whn16938Keywords:
Energy Efficiency, Artificial Intelligence, RPA, Sustainable Automation, Carbon Emission Reduction, Machine LearningAbstract
Robotic Process Automation (RPA) and Artificial Intelligence (AI) are being integrated to improve energy efficiency and lower carbon emissions due to the
increasing need for sustainable business practices. This research explores an AI-enabled RPA framework for optimizing business processes focusing on
sustainability. By leveraging machine learning, and automation, organizations can monitor energy consumption, detect inefficiencies, and optimize resource
utilization in real time. A review of existing studies indicates that Artificial Intelligence-enabled automation can reduce energy consumption and emissions while
improving operational efficiency. Case-based evidence demonstrates reductions in energy usage and carbon emissions through automated optimization strategies.
However, challenges like high implementation costs, data integration issues, and system complexity persist. Sustainable automation through energy-efficient
Robotic Process Automation (RPA)solutions plays a critical role in reducing carbon footprints by optimizing energy use in IT operations. The study concludes that
AI-enabled RPA indicates a systematic approach toward achieving sustainable and energy-efficient business automation.
