Automate ISO 26262 compliance with GPT-4 for automotive safety analysis
Ready for 3.0What this workflow does
This AI workflow has 16 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Read Systems_Description (Read/Write Files from Disk): reads a file from disk
- Convert input to binary data (Extract from File): extracts data from a file (text)
- AI Agent: runs an AI agent, with model: AI_Hazard_Analysis; memory: A simple memory window
- Convert to File: converts data to a file (to text)
- Potential_risks_report.txt (Read/Write Files from Disk): writes a file to disk
- Convert input to binary data (Extract from File): extracts data from a file (text)
- AI Agent: runs an AI agent, with model: AI_Hazard_Analysis; memory: A simple memory window
- Convert to File: converts data to a file (to text)
- Update_risk_estimation_report (Read/Write Files from Disk): writes a file to disk
- Convert input to binary data (Extract from File): extracts data from a file (text)
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Manual Trigger
n8n-nodes-base.manualTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Extract from File
n8n-nodes-base.extractFromFile - Convert to File
n8n-nodes-base.convertToFile
From the author
:car: Business Value Proposition Accelerates ISO 26262 compliance for automotive/industrial systems by automating safety analysis while maintaining rigorous audit standards. :gear: How It Works mermaid graph TD AEngineer uploads<brsystem description -->…