Define responsibility clearly
Quality ownership follows the activity and the decision, including when work is outsourced.
Automotive Quality Management System
A common quality-management framework for organizations whose work influences automotive products, services, processes and technical decisions.
AQMS connects management responsibility with the controls and evidence used across the automotive value chain. It is intended to help organizations make quality decisions that are consistent, traceable and appropriate to the risks of their actual activities.
Quality ownership follows the activity and the decision, including when work is outsourced.
The organization selects applicable controls according to its real scope, products, services and risks.
Requirements, configurations, tests, approvals and releases remain linked through a reviewable evidence chain.
Performance data, customer experience, audits and field information should lead to measurable action.
Applicability is based on what an organization does, not simply on its company label. The framework can therefore support different participants across the automotive ecosystem.
The full document contains detailed requirements and supporting annexes. This page groups the main clauses only to help visitors understand the overall flow.
| Clauses | Group | What it covers |
|---|---|---|
| 01-02 | Foundation | Purpose, scope, application, terms and definitions. |
| 03-05 | Governance | Management responsibility, planning, risk, people, resources and information. |
| 06-08 | Realization | Design and development, purchasing, suppliers, production and operations. |
| 09-11 | Product and Evidence | Technology, services, aftersales, measurement, testing and conformity control. |
| 12-14 | Assurance | Performance, improvement, audits, assessment, certification and decision rules. |
Requirements follow the activities an organization performs or controls and the evidence needed for those activities.
External providers may perform work, but the organization remains responsible for requirements, controls and acceptance.
Software, AI, cybersecurity, automated driving and stored-energy systems require controlled and reproducible evidence.
Records should show what was assessed, which configuration applied, what evidence was used and who made the decision.
Review all clauses, definitions, annexes and development notes in the published PDF.