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Document template · generic.operations.root_cause_analysis

Root Cause Analysis

  • Render-verified
  • Informational
  • Version 1.0.0

Root Cause Analysis (RCA) using 5-Whys, Fishbone (Ishikawa), Fault Tree or another method. Output of the corrective-action process required by ISO 9001:2015 clause 10.2 and ISO 45001:2018 clause 10.2. Captures the problem, chronology, analysis, root causes, corrective and preventive actions and lessons learned.

JSON Schema

Fields in this template

Data sent to the API is validated against the template’s JSON Schema before anything is rendered. This template defines 19 fields:

Field Required Type Description
entity Optional object
entity.name Required string
entity.registration Optional string
entity.site Optional string
rca_id Required string
related_incident_reference Optional string
date_of_analysis Required date
facilitator Required object
team_members Required array
problem_statement Required string
chronology Required array
analysis_method Required enum
five_whys Optional array
fishbone Optional object
root_causes Required array of string
corrective_actions Required array
preventive_actions Optional array
lessons_learned Required string
approval Required object

POST /render

Generate it

One POST /render call: send your JSON, get the finished PDF back. Or skip the JSON entirely and describe the document in plain language on chut.app.

curl 
curl -X POST https://api.papii.eu/render \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "template": "generic.operations.root_cause_analysis",
    "data": { ... },
    "options": {"language": "en"}
  }' -o root-cause-analysis.pdf
Generate with AI on chut.app Try in the dashboard

Frequently asked questions

What is “Root Cause Analysis”?

Root Cause Analysis (RCA) using 5-Whys, Fishbone (Ishikawa), Fault Tree or another method. Output of the corrective-action process required by ISO 9001:2015 clause 10.2 and ISO 45001:2018 clause 10.2. Captures the problem, chronology, analysis, root causes, corrective and preventive actions and lessons learned. On papii this document is available as template generic.operations.root_cause_analysis: a JSON Schema plus a deterministic PDF renderer, so the same data always produces the same document.

Can I generate a Root Cause Analysis with AI?

Yes. chut.app — the AI back office papii powers — fills this template from a plain-language description: you describe the document in one sentence, the AI structures the data, papii validates it against the schema and renders the PDF. Developers can also call the papii API directly with structured JSON.

Is the Root Cause Analysis template legally compliant?

This template is render-verified: its schema, sample data and PDF output are automatically tested on every release. It is published with status “ready”, meaning it has not yet been through papii’s final legal review. Where it references specific legislation, that is stated in the template description — always have a professional check documents with legal effect before relying on them.