Online Learning Analytics Reviews are essential for assessing student performance, engagement, and progress in digital learning environments. This process involves gathering learning data, analyzing performance trends, coordinating with faculty and instructional designers, and approving data-driven interventions. Manual handling of analytics reviews can be slow and prone to errors, potentially delaying academic improvements. An automated approval process ensures that learning analytics are reviewed efficiently, allowing institutions to optimize online education strategies. Cflow can automate the Online Learning Analytics Review process, ensuring that all necessary reviews and approvals are completed quickly and accurately. This reduces the administrative burden on faculty and analytics teams while enhancing student learning outcomes.