Energy and utilities companies need to predict the future energy demand to make informed operational decisions. To make such decisions and have visibility over energy demand, they need the right energy forecasting model. These forecasting models need to be evaluated for their relevance and suitability to the organizational needs. Approving these models involves checking their accuracy, comparing them with historical data and market trends, meeting regulatory requirements, and aligning them with energy planning goals. The review and approval of energy forecasting models when done manually, is a tedious and data-intensive process. Also, manual processes involve extensive paperwork and multiple review layers. This can lead to inaccurate forecasts, operational risks, and even service disruptions. Automating the approval process makes it faster and more efficient. It ensures all reviews and approvals are done on time and with precision. Automation also allows real-time tracking, improving transparency and accountability. Plus, workflows can be customized for different forecasting needs, helping utilities create more accurate and reliable demand plans.