Context: In utility operations, safety is determined long before an incident is recorded, shaped in the moments when crews prepare for work and conditions are assessed.

Challenges: Site conditions change after plans are set, risk assessments are completed but not revisited, and supervisors discover exposure only after work has started, with each missed check increasing the chance routine activity turns unsafe.

Solution: The Safety Execution Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors job conditions and risk indicators as they trend and intervenes during pre-work assessment and supervisor sign-off, flagging conditions that warrant a pause before work proceeds.

Impact: Utilities adopting this approach see risks reassessed in time and decisions slow down when conditions demand it, with incident rates falling as a natural outcome of better execution.