The Electrical Compliance Agent

The Electrical Compliance Agent is a hackathon MVP built for AI Agents and Agentic Workflows. The system receives a project description, normalizes it into auditable data, retrieves relevant evidence from a Supabase vector store of technical standards, generates a structured compliance report, and adds support suggestions for components when a finding clearly indicates a material or protection gap. The workflow consists of four specialized agents: Triage Agent: Receives and normalizes user input, extracting critical data such as power, voltage, and wire gauges. Research Agent (RAG): Performs semantic searches on a Supabase database to retrieve exact excerpts from the NBR 5410:2004 standard, eliminating hallucinations and ensuring a regulatory foundation. Audit Agent: Cross-references project data with retrieved evidence, generating findings classified by severity with direct references to standard clauses. Support Agent: Operates at the remediation layer, suggesting exact substitutes from a mock component catalog to fix detected non-compliance issues. This project demonstrates how AI agent orchestration can transform slow, manual processes into efficient, safe, and fully traceable engineering workflows, significantly reducing the risk of fatal errors in electrical installations.