GridGuard Assembly AI Voice Agent Integrated

GridGuard Assembly AI Voice Agent Integrated is a human-governed voice AI system designed for critical power-grid incident response. It uses AssemblyAI as the speech-to-text intake layer, transforming spoken operator reports into transcripts that GridGuard converts into structured operational evidence. The system is designed around a core principle: AI can accelerate understanding and coordination, but consequential operational decisions remain under explicit human control. After voice intake and incident extraction, an operator reviews the evidence and must deliberately Approve, Hold, Reject, or Escalate the incident. Escalation introduces a second human approval gate before the system proceeds to a disclosed Call-E supervisor simulation. The workflow operates in dry-run mode: it does not place real calls, execute grid actions, or automatically authorize operational changes. Supervisor outcomes—including approval and denial—are captured alongside the original operator decision in an auditable record. GridGuard also provides voice feedback, deterministic Mock Mode for safe testing, operational forecasting and decision-support capabilities within the integrated application. The result is an end-to-end workflow connecting voice intake, transcription, structured evidence, human approval, supervisor escalation, voice feedback, and auditability. GridGuard demonstrates how voice AI can support high-stakes operational environments without removing human authority from the decision loop. AssemblyAI makes spoken incident information immediately actionable, while GridGuard adds the governance, escalation controls, and evidence trail required for responsible operational decision support.