This workflow automates the operational bottleneck of manually identifying and communicating with customers affected by upcoming maintenance or predicted asset failures. By ingesting risk scores from grid health models (e.g., transformer failure predictions) and cross-referencing them with GIS and CIS data, it identifies downstream customers and triggers personalized notifications. The business value is clear: it reduces inbound call volume during maintenance events, improves customer satisfaction through proactive communication, and prevents reputational damage by framing outages as planned, communicated service.




