Automate ISO 26262 Compliance with GPT-4 for Automotive Safety

This n8n workflow leverages GPT-4 to streamline ISO 26262 compliance for automotive and industrial systems. Engineers upload system descriptions, and the AI automatically identifies potential hazards, scores risks according to ISO 26262 standards (ASIL levels), generates targeted mitigation strategies, and compiles comprehensive, audit-ready reports with traceability.

Key benefits include 50-70% faster analysis than traditional HAZOP or FMEA sessions, instant report generation reducing weeks of manual documentation, and pre-validated templates that minimize human error. It ensures governance through human-in-the-loop approvals, version tracking, and exportable decision rationales, making audits simpler.

Ideal use cases: Automotive OEMs for HARA (Hazard Analysis and Risk Assessment), safety engineers in ADAS/AV development, and compliance teams in functional safety certification. Optional integrations with JAMA or DOORS enhance traceability. Setup requires n8n (self-hosted or cloud), Docker, and OpenAI API key for enterprise-ready deployment.