Automated ISO 26262 Hazard Analysis with GPT-4

This n8n workflow streamlines Hazard and Risk Assessment (HARA) for ISO 26262 compliance, targeting automotive and industrial systems. It leverages GPT-4 to rapidly identify hazards, assign Severity/Exposure/Controllability (S/E/C) scores, and produce audit-ready reports with pre-validated templates, reducing human error and accelerating certification processes from weeks to minutes.

Key benefits include time savings through instant HAZOP-style documentation, consistent ASIL scoring with rule-based checks (e.g., ASIL-D redundancy validation), and edge case coverage via AI-driven analysis cross-referenced with historical data. Users input a system description file and an OpenAI API key, then execute the workflow for modular processing including human validation nodes.

Ideal use cases: Automotive OEMs for functional safety analysis, industrial automation firms ensuring compliance, and engineering teams handling complex systems. Refer to the GitHub repo for setup details. Limitations include the need for human review of AI outputs and integration with incident databases for full robustness.

Contact for collaborations: gopalakrishnan.manirajan@gmail.com.