Hazard Analysis for ISO 26262
Upload a systems description file to generate ISO 26262 hazard analysis reports with S/E/C scores and ASIL validation in minutes.
What it does
Upload your systems description file to instantly generate ISO 26262 hazard analysis reports with S/E/C scores and ASIL validation. This process cuts your documentation time from weeks to minutes while ensuring accuracy through built-in human validation layers.
Step by step
- Parse the input JSON systems description to extract component interfaces and data flows.
- Store extracted context in a simple key-value memory store for agent retrieval.
- Format the final LLM output into a structured ISO 26262 compliant report template.
Where the LLM does the work
- Identify potential failure modes from abstract system descriptions that lack explicit error codes.
- Assign Safety Integrity Level (SIL) or Automotive Safety Integrity Level (ASIL) scores based on severity, exposure, and controllability.
- Validate redundancy configurations against specific ASIL decomposition rules defined in the standard.
Watch out for
ISO 26262 requires traceable reasoning for ASIL assignments so prompt engineering should force step-by-step justification in the output.
Context windows can overflow when processing large complex systems so implement chunking strategies to keep relevant data within token limits.
Incorrect S/E/C scoring leads to non-compliance so build a deterministic validation layer that flags scores outside expected ranges for human review.
Tools that fit
AI Agent Service Orchestrating the workflow
OpenAI Chat Model LLM Generating hazard analysis and reports
Simple Memory Service Storing context during analysis
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Hazard Analysis for ISO 26262: Upload a systems description file to generate ISO 26262 hazard analysis reports with S/E/C scores and ASIL validation in minutes. ## Specification - What it does: Upload your systems description file to instantly generate ISO 26262 hazard analysis reports with S/E/C scores and ASIL validation. This process cuts your documentation time from weeks to minutes while ensuring accuracy through built-in human validation layers. - Trigger: Run manually (Manual · on demand) - Autonomy: You stay in control - Expected setup effort: about an afternoon - Tools/services involved: - AI Agent: Orchestrating the workflow - OpenAI Chat Model: Generating hazard analysis and reports - Simple Memory: Storing context during analysis ## Known pitfalls, handle each one explicitly in your implementation 1. ISO 26262 requires traceable reasoning for ASIL assignments so prompt engineering should force step-by-step justification in the output. 2. Context windows can overflow when processing large complex systems so implement chunking strategies to keep relevant data within token limits. 3. Incorrect S/E/C scoring leads to non-compliance so build a deterministic validation layer that flags scores outside expected ranges for human review. ## Reference implementation https://n8n.io/workflows/5594 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automated-hazard-analysis-for-iso-26262/ via usecasesforagents.com
Frequently asked questions
Can I use a different LLM than OpenAI?
Yes. OpenAI is only the example LLM in this recipe. The same flow works with Anthropic, Cohere, DeepSeek and Google Gemini. Swap the LLM connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for developers who want the busywork around code automated, not the code itself.