{
  "node_id": "eu-ai-act-2024-1689-article-17-quality-management-system-providers",
  "title": "EU AI Act (EU) 2024/1689 - Article 17: Quality Management System Requirements for Providers of High-Risk AI Systems",
  "domain": "AI Governance & Law",
  "version": "2.0",
  "last_updated": "2026-05-09",
  "bluf": "Article 17 mandates that every provider of a high-risk AI system document and implement a Quality Management System (QMS) proportionate to the organisation's size and the risk level of the AI system. The QMS must address at minimum: (a) regulatory compliance strategy; (b) design, development, and quality control techniques; (c) systematic review of design before and after market placement; (d) examination, testing, and validation of the AI system and data; (e) technical specifications including standards applied; (f) data management including training, validation, and testing datasets; (g) risk management per Article 9; (h) post-market monitoring per Article 72; (i) accountability, responsibility, and authority procedures; (j) procedures for reporting serious incidents per Article 73; (k) communication with authorities; (l) record-keeping; and (m) resource management. SMEs may apply a simplified approach proportionate to their size.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "industry_mapping",
      "regulatory_overlap",
      "use_cases"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "eu-ai-act-article-9-risk-management-system",
    "eu-ai-act-article-16-provider-obligations",
    "eu-ai-act-article-62-serious-incident-reporting"
  ],
  "primary_citations_count": 8
}