# Automate ISO 26262 compliance with OpenAI: n8n workflow

> Started by an event in a connected app. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/automate-iso-26262-compliance-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Automate ISO 26262 compliance with OpenAI

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomate-iso-26262-compliance-with-openai)

**16 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 1 Model 5 Service 10

The steps in the order they run, from what starts it.

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **AI_Hazard_Analysis** Lm Chat Open Ai *Model*
- 3 **A simple memory window** Memory Buffer Window *Model*
- 4 **Read Systems_Description** Read Write File *Service*
- 5 **AI Agent** Agent *Model*
- 6 **AI Agent1** Agent *Model*
- 7 **AI Agent2** Agent *Model*
- 8 **Convert input to binary data** Extract From File *Service*
- 9 **Convert to File** Convert To File *Service*
- 10 **Convert to File1** Convert To File *Service*
- 11 **Convert to File2** Convert To File *Service*
- 12 **Potential_risks_report.txt** Read Write File *Service*
- 13 **Update_risk_estimation_report** Read Write File *Service*
- 14 **Risks_mitigation.txt** Read Write File *Service*
- 15 **Convert input to binary data1** Extract From File *Service*
- 16 **Convert input to binary data2** Extract From File *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 16
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 16 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 16 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomate-iso-26262-compliance-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI Contract Report: Plain English Translation + Risk Score Email** 16 steps · calls a model · Gmail](https://millionrounds.com/workflow/ai-contract-report-plain-english-translation-risk-score-emai)
- [**AI news digest: Summarize top stories with DALL-E** 16 steps · calls a model · Telegram](https://millionrounds.com/workflow/ai-news-digest-summarize-top-stories-with-dall-e)
- [**Amazon price drop analysis with Decodo and OpenAI** 16 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/amazon-price-drop-analysis-with-decodo-and-openai)
- [**Analyze customer feedback with Azure GPT-4 and Jira** 16 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-customer-feedback-with-azure-gpt-4-and-jira)
- [**Analyze incoming letters with Google Drive and OpenAI** 16 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/analysiere-eingehende-briefe-mit-google-drive-openai)
- [**Audience problem keyword research workflow with OpenAI** 16 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/audience-problem-keyword-research-workflow-with-openai)