Manual site acquisition is a major capital and timeline bottleneck, consuming weeks of due diligence on zoning, landowner history, structural suitability, and coverage contribution. This custom workflow automates that initial vetting by deploying specialized AI agents that ingest GIS data, municipal records, and network models. The agents score and rank potential sites against weighted business rules, surfacing only the most viable candidates for human review. The operational upside is a 60-80% reduction in pre-bid analysis time, lower soft-cost waste on non-starters, and accelerated network deployment velocity.




