Automated hazard analysis for ISO 26262 compliance using GPT-4

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Modular Hazard Analysis Workflow : Free Version Business Value Proposition Accelerates ISO 26262 compliance for automotive/industrial systems by automating safety analysis while maintaining rigorou...

Best for

Engineering automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.readwritefile, n8n-nodes-base.extractfromfile, n8n-nodes-base.converttofile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by MRJ.

Original n8n.io source

1.1 Workflow description

Title: Automated hazard analysis for ISO 26262 compliance using GPT-4
Workflow name: Automated hazard analysis for ISO 26262 compliance using GPT-4

Modular Hazard Analysis Workflow : Free Version

Business Value Proposition

Accelerates ISO 26262 compliance for automotive/industrial systems by automating safety analysis while maintaining rigorous audit standards.

:chart_with_upwards_trend: Key Benefits

Time
- Instant report generation vs. weeks of documentation for HAZOP
Risk Mitigation
- Pre-validated templates reduce human error

Quick guide

Input a systems_description file to the workflow
Provide an OPENAI_API_KEY to the chat model. You can also replace the chat model with the model of your interest.

:play_or_pause_button: Running the Workflow

Refer to the github repo to understand in detail about how the workflow can be used

:email: Contact

For collaboration proposals or security issues, contact me by Email.

:warning: Validation & Limitations

AI-Assisted Analysis Considerations

Advantage	Mitigation Strategy	Implementation Example
Rapid hazard identification	Human validation layer	Manual review nodes in workflow
Consistent S/E/C scoring	Rule-based validation	ASIL-D → Redundancy check
Edge case coverage	Cross-reference with historical data	Integration with incident databases

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - AI_Hazard_Analysis

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 4 - A simple memory window

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 5 - Read Systems_Description

Type / Role: n8n-nodes-base.readWriteFile - readWriteFile
Config choices: Version 1

Block 6 - Convert input to binary data

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 7 - Convert to File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 8 - Potential_risks_report.txt

Type / Role: n8n-nodes-base.readWriteFile - readWriteFile
Config choices: Version 1

3. Summary Table

Workflow	Automated hazard analysis for ISO 26262 compliance using GPT-4
Complexity	intermediate
Nodes	8
Categories	Engineering, AI Summarization
Author	MRJ
Published	02 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5594/5594.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI Summarization workflows

Frequently asked questions

What does Automated hazard analysis for ISO 26262 compliance using GPT-4 do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.

MRJ

2 workflows

Nodes

n8n-nodes-base.manualtrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.readwritefile n8n-nodes-base.extractfromfile n8n-nodes-base.converttofile

Complexity

intermediate

Published 02 Jul 2025

Likes 0

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Install path: /data/workflows/5594/5594.json

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Automated hazard analysis for ISO 26262 compliance using GPT-4

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Business Value Proposition

:chart_with_upwards_trend: Key Benefits

Quick guide

:play_or_pause_button: Running the Workflow

:email: Contact

:warning: Validation & Limitations

AI-Assisted Analysis Considerations

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Block 2 - AI Agent

Block 3 - AI_Hazard_Analysis

Block 4 - A simple memory window

Block 5 - Read Systems_Description

Block 6 - Convert input to binary data

Block 7 - Convert to File

Block 8 - Potential_risks_report.txt

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions