Grid Disaster AI

Grid Disaster AI is a human-governed AI command system designed to help operators respond to cascading power-grid failures and large-scale infrastructure emergencies. The platform combines real-time grid monitoring, risk forecasting, critical-facility prioritization, coordinated AI-agent recommendations, and recovery planning in one operational interface. During a simulated disaster, Grid Disaster AI identifies unstable substations, overloaded transmission corridors, hospitals and other critical facilities at risk, and potential cascade paths. Specialized AI agents evaluate competing priorities such as public impact, medical risk, grid stability, and restoration speed. A Recovery Commander Agent then synthesizes those findings into a recommended sequence of actions. The system does not autonomously execute high-impact recovery decisions. Instead, it presents the reasoning, tradeoffs, confidence levels, and recommended actions to a human operator for authorization. This human-in-the-loop design helps make AI-assisted infrastructure recovery more explainable, accountable, and operationally realistic. Grid Disaster AI demonstrates how agentic AI can support emergency decision-making when seconds matter: predict the cascade, protect the critical, prioritize the recovery, and restore the grid.