Data Privacy Compliance Workflow
Cross-reference your data practices against GDPR, PIPL and CCPA — structured compliance checklist with gap analysis and remediation recommendations.
What does this workflow do?
System flow
隐私文档上传 → 全文提取 → AI 隐私条款分段（数据范围/处理目的/共享/权利/保留/跨境/安全/Cookie/未成年人 9 类）→ 三法并行校验（GDPR Art.6/15-22/35/44-49 等 → PIPL Art.13-23/28-32/38-43 → CCPA/CPRA 消费者权利/SPI/Opt-out）→ 三法差异矩阵自动构建 → 合规差距评分 → 法律风险等级评定 → 分法域报告生成 → 整改优先级排序 → 双格式输出（Word 合规报告 + Excel 整改追踪表）
Pipeline breakdown
- PyPDF
pypdf— PDF text and metadata extraction, page-level splitting pdf → text - LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output text → json - LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output json → json - LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output json → json - LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output json → json - Pandas
pandas— Tabular compute — join, aggregate, validate and reshape the extracted records json → json - Python-DOCX
python-docx— Renders the final Word document with headings, tables and styling json → docx - OpenPyXL
openpyxl— Writes a formatted, formula-ready Excel workbook as the deliverable json → xlsx
Workflow Reputation Score
Based on executions, success rate, update frequency, component quality, and user rating.
Based on executions, success rate, update frequency, component quality, and user rating.
Components used
Large-language-model step that extracts, classifies, validates or writes structured output
FlowSync proprietaryTabular compute — join, aggregate, validate and reshape the extracted records
pandas-dev/pandas ↗Renders the final Word document with headings, tables and styling
python-openxml/python-docx ↗Writes a formatted, formula-ready Excel workbook as the deliverable
theorchard/openpyxl ↗How is this different from n8n or Zapier?
Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.
Use cases
- 隐私政策合规审计
- 数据处理协议审阅
- 产品上线前隐私自查
- 跨境数据传输合规评估
- 并购目标公司隐私尽职调查
- GDPR/PIPL/CCPA 多法域合规
Author & Source
Field notes
以前做 GDPR/PIPL/CCPA 三法对照要请外部律所报价 $30,000+。FlowSync 这个模板一键出对照报告，准确率极高。
产品上线前做隐私合规自查，PIPL 的敏感信息和跨境传输校验非常精准。
我们的隐私政策要覆盖欧美和中国的用户，这个模板帮我发现了好几个 GDPR 不合规的漏洞。
三法对照矩阵太实用了，一目了然看到哪些条款只符合 GDPR 但不符合 PIPL。整改建议也很具体。
Data handling
FlowSync Workflow Marketplace · 78 reputation score · 30% execution · 100% success · 8-node white-box pipeline · maintained by FlowSync Official
Ready to run?
Cross-reference your data practices against GDPR, PIPL and CCPA — structured compliance checklist with gap analysis and remediation recommendations.