prEN 18286
The draft European standard for AI quality management systems under development by CEN-CENELEC JTC 21, intended to give presumption of conformity with Article 17 of the Regulation when published as a harmonised standard. Reached the public enquiry stage around October to November 2025 and is progressing toward formal vote; first AI Act standards estimated for 2026. Publication as a harmonised standard is the event that activates the Article 40 presumption of conformity for QMS documentation.
Defined in 2 GAGE programs, which carry 11 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The draft European standard for AI quality management systems under development by CEN-CENELEC JTC 21, intended to give presumption of conformity with Article 17 of the Regulation when published as a harmonised standard. Reached the public enquiry stage around October to November 2025 and is progressing toward formal vote; first AI Act standards estimated for 2026. Publication as a harmonised standard is the event that activates the Article 40 presumption of conformity for QMS documentation.
A draft harmonized standard developed by CEN and CENELEC through their Joint Technical Committee 21 (JTC 21), covering the AI Act's quality management system obligations (Article 17) and the technical documentation package (Annex IV). It entered public enquiry in 2025 and, as of the currency check for this program, targets delivery in the fourth quarter of 2026.
the CEN-CENELEC harmonized standard covering quality management practices, including the Annex IV technical documentation package, under the EU AI Act; it entered public enquiry in 2025 with delivery targeted for the fourth quarter of 2026. (see Topic 8.6)
The CEN-CENELEC draft standard for an AI Quality Management System for EU AI Act regulatory purposes, targeting presumption of conformity with Article 17 (QMS). Section 7.2 specifies competence requirements. Currently moving toward formal vote after public enquiry (late 2025); not yet published as a final harmonized standard as of June 2026. When finalized, likely to formalize evidence expectations for competence documentation.
The first AI quality management standard developed by CEN-CENELEC JTC 21 to provide presumption of conformity with Article 17 (quality management system); reached public enquiry stage around October to November 2025. Its unavailability by August 2026 was the primary rationale for the Omnibus delay.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Lineage archaeology: tracing one dashboard number all the way back to its birth · The Estate Survey, Certified AI Data Governance Professional (CADGP)
- Data governance for the conformity file: your chapter in the document the regulator reads · Lineage Under Audit, Certified AI Data Governance Professional (CADGP)
- Building Credibility Without Being a Lawyer or Engineer · The EU AI Act Expert Role, EU AI Act Implementation Expert
- The Full Phased Implementation Timeline · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- The Digital Omnibus: Conditional and Long-Stop Delays · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- Building a Compliance Calendar with Contingency · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- Quality Management System (Article 17) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
- Harmonized Standards and Presumption of Conformity · Standards and Conformity Assessment, EU AI Act Implementation Expert
- Claiming Conformity: What You Can and Cannot Assert · Standards and Conformity Assessment, EU AI Act Implementation Expert
- Continuous Compliance as the Act Evolves · Capstone: The Compliance Portfolio, EU AI Act Implementation Expert
Where it shows up at work
A definition is where prEN 18286 starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
4 lessons on this page teach it as a primary outcome.
Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
2 lessons on this page teach it as a primary outcome.
Spots a regulatory change, decides applicability, assigns actions, updates controls and keeps the implementation evidence.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Compliance Specialistneeds it at depth · 1 open posting this week
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Chief Compliance Officer, AI compliance editionneeds it at depth
- Compliance Analystneeds working knowledge · 2 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; EU AI Act Article 10; NIST AI RMF MAP 4.
One interview question about it
Classify a specific AI system under the EU AI Act and name the obligations that follow, including what applies now and what is deferred.
Asked of candidates for eu ai act obligations and timelines. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
- Privacy and data protection carries it as work you can show: Data maps and records of processing are lineage by another name.
- Data analysis, stewardship and business intelligence carries it as work you can show: Source-to-report lineage is what you trace.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.