Manual labor forecasting reports are a significant operational bottleneck, consuming days each week as analysts manually extract data from ERP (e.g., SAP), project management (Procore, Primavera P6), and timekeeping systems. This custom workflow automates that entire process. Specialized agents are triggered on a schedule or by a data-update event to aggregate forecast data, calculate schedule drift, perform variance analysis, and compute labor risk scores. The system ingests live data from IoT sensors and integrated software, transforming raw inputs into structured insights without human intervention, reclaiming dozens of labor-hours per project each month.




