Context: Grid resilience is shaped long before an outage or disruption occurs, reflecting how consistently risks are anticipated, mitigated, and acted on during everyday operations.

Challenges: Early stress indicators are visible, but action is deferred, preventive measures compete with routine work, and coordination between operations, maintenance, and field teams becomes informal instead of deliberate.

Solution: The Grid Resilience Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors weather, load, and asset condition signals as risk elevates and intervenes during preventive action and cross-team coordination, flagging exposure before conditions escalate.

Impact: Utilities following this approach see preventive actions happen earlier and teams coordinate before pressure builds, with resilience scores rising not because disruptions disappear, but because utilities consistently act in time.