This workflow automates the high-cost, manual bottleneck of solar project development: evaluating hundreds of potential sites against dozens of dynamic constraints. It replaces weeks of analyst labor with a multi-agent system that ingests satellite imagery, GIS layers, and market data to score sites on irradiance, slope, grid proximity, land cost, and environmental permits. The operational upside is a 70-80% reduction in pre-feasibility study time, allowing developers to evaluate more opportunities and lock in optimal sites faster, directly improving portfolio yield and accelerating time-to-revenue.




