Digital transformation enables organizations to optimize workflows and improve efficiency, yet its implementation in developing regions and cooperation projects faces challenges. This study examines a proprietary information system supporting rural electrification projects, identifying inefficiencies caused by deviations from the intended process. Using process mining, we analyze event logs to uncover workflow discrepancies, including skipped onboarding steps, unstructured contract execution, and service interruptions due to payment delays and technical failures. Findings highlight the gap between designed and actual processes, emphasizing the need for enhanced compliance, data accuracy, and operational monitoring. By refining workflows and providing targeted training, process mining can drive efficiency in development projects. The proposed approach, while applied to rural electrification, is adaptable to various low-resource settings requiring transparent, data-driven process optimization.