EU AI Act Art. 25: responsibilities along the AI value chain

Responsibilities along the AI value chain: when a distributor, importer or deployer becomes a provider, and the information a provider must pass to actors downstream

By Jorge García Aibar Reviewed 2026-09-24

From clause to evidence Build the artefact, then file every output it produces as a record that names AIGE-OBL-EUAIA-ART25. Drawn from chapter 08.

Text alternative

Clause: EU AI Act, Art. 25.
Duty holder: Provider + value-chain actors.
Applies from: 2027-12-02, Deferred.
Artefact: Value-chain due-diligence gate.
Layers: Layer 02, Layer 05.
Evidence record: Vendor due-diligence response, +2 more.
Record schemas: Vendor due-diligence response , Deployment decision record , Classification decision record .
The same topic in 18 other frameworks; the crosswalk section below links each clause.

When this obligation applies The first date in the row's status, then each later step: filled once its date has passed, outlined while it is still ahead of the review date.

Data table: the dates

Dates of AIGE-OBL-EUAIA-ART25
Date	Step	Detail
2027-12-02	Deferred	Annex III
2028-08-02	High-risk (Annex I)	Applies to Annex I embedded (product safety-component) systems
2030-08-02	Later step	Deadline for legacy high-risk systems intended for use by public authorities (Art. 111(2))

Id

AIGE-OBL-EUAIA-ART25

Instrument

EU AI Act (post-Omnibus) law

Compared side by side

ISO 42001 vs EU AI Act · NIST AI RMF vs EU AI Act

Clause

Art. 25

Duty holder

Provider + value-chain actors

Authority

National MSA

Applies from

2027-12-02 Deferred · Annex III

Later dates

2028-08-02 Applies to Annex I embedded (product safety-component) systems
2030-08-02 Deadline for legacy high-risk systems intended for use by public authorities (Art. 111(2))

System class

High-risk (Annex III) · High-risk (Annex I)

The artefact that evidences it

Value-chain due-diligence gate; provider/deployer responsibility allocation; AIBOM and model/data cards collected from upstream providers.

What this obligation connects to Solid edges are direct relations, dashed ones looser (a case that cites the same article, a framework whose clauses only touch the topic); patterns and controls take the colour of their stack layer. Select a node to open it; the lists below give every relation in full.

Data table: every relation

Relations of AIGE-OBL-EUAIA-ART25
Family	Item	Relation
Patterns	Downstream Use Register	Direct
Patterns	Vendor / Model Due-Diligence Gate	Direct
Open controls	AIGE-CTL-AGENT-019 Local MCP servers sandboxed	Direct
Open controls	AIGE-CTL-AGENT-018 MCP server admission gate	Direct
Open controls	AIGE-CTL-DEPLOY-007 Re-assessment when a change goes beyond what was foreseen	Direct
Open controls	AIGE-CTL-DATA-012 Registered Downstream Consumers of Outputs	Direct
Same crosswalk topic	AI Verify 9.7.1, 5.3.1, 4.5.2, 9.3.1, 9.4.1, 5.14.1, 6.5.1, 4.6.1	Core clause
Same crosswalk topic	CSA AICM STA-10, STA-09, AIS-06, CCC-01, DSP-02	Core clause
Same crosswalk topic	EU AI Act Art. 26, Art. 22, Art. 23, Art. 24, Art. 54, Art. 43(4), Art. 20, Art. 79, Art. 86	Core clause
Same crosswalk topic	GDPR Art. 28, Arts. 44–46	Core clause
Same crosswalk topic	ISO 42001 A.10, A.6.2.5, A.6.2.6, A.9	Core clause
Same crosswalk topic	NIST AI RMF GOVERN 6, MAP 4, MANAGE 3, MANAGE 3.1, GOVERN 6.2, MANAGE 2.4, MANAGE 4.1, GOVERN 1.7	Core clause
Same crosswalk topic	OWASP Agentic ASI04	Core clause
Same crosswalk topic	OWASP LLM LLM04:2026	Core clause
Same crosswalk topic	TC260 Framework 3.0 TC260 App. 2 II.4, TC260 4.4.4, TC260 5.3, TC260 5.3.19	Core clause
Same crosswalk topic	China Deep Synthesis DeepSyn Art. 14	Related clause
Same crosswalk topic	China GenAI Measures GenAI Art. 7	Related clause
Same crosswalk topic	CoE Convention CoE Art. 16(2)(g)	Related clause
Same crosswalk topic	G7 Code G7 Action 11	Related clause
Same crosswalk topic	GAO AI Accountability 2.6, 4.4, 4.5	Related clause
Same crosswalk topic	GPAI Code Transparency 1.2	Related clause
Same crosswalk topic	OECD AI Principles OECD 1.4	Related clause
Same crosswalk topic	Singapore Agentic Agentic 2.3.3	Related clause
Same crosswalk topic	UK ATRS ATRS 2.1.4	Related clause

Patterns that build it

Vendor / Model Due-Diligence Gate (layer 2 and 5)
Downstream Use Register (layer 2 and 1)

The same topic in other frameworks

From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.

Supply chain and third parties

ISO 42001 A.10 Third-party and customer relationships (core)
NIST AI RMF GOVERN 6 GOVERN 6: Policies and procedures are in place to address AI risks and benefits arising from third-party software and data and other supply chain issues (core)
NIST AI RMF MAP 4 MAP 4: Risks and benefits are mapped for all AI system components including third-party software and data (core)
NIST AI RMF MANAGE 3 MANAGE 3: AI risks and benefits from third-party entities are managed (core)
TC260 Framework 3.0 TC260 App. 2 II.4 Supply chain and tool management (core)
GDPR Art. 28 Processor (core)
NIST AI RMF MANAGE 3.1 MANAGE 3.1: AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented (core)
CSA AICM STA-10 Supply Chain Risk Management (core)
CSA AICM STA-09 Service Bill of Material (BOM) (core)
OWASP LLM LLM04:2026 Supply Chain (core)
OWASP Agentic ASI04 Agentic Supply Chain Vulnerabilities (core)
AI Verify 9.7.1 Accountability: clear responsibilities between parties in the supply chain, set in service level agreements and contracts (core)
AI Verify 5.3.1 Security: secure the supply chain by assessing and monitoring its security risks across the life cycle (core)
AI Verify 4.5.2 Safety: continuously monitor third-party systems, with a fallback plan and contracts that assign liability (core)
EU AI Act Art. 26 Obligations of deployers of high-risk AI systems
TC260 Framework 3.0 TC260 4.4.4 Open-source ecosystem
China GenAI Measures GenAI Art. 7 Lawful data and model sources
China Deep Synthesis DeepSyn Art. 14 Providers and technical supporters
EU AI Act Art. 22 Authorised representatives of providers of high-risk AI systems
EU AI Act Art. 23 Obligations of importers
EU AI Act Art. 24 Obligations of distributors
EU AI Act Art. 54 Authorised representatives of providers of general-purpose AI models
GPAI Code Transparency 1.2 Providing relevant information
GDPR Arts. 44–46 Transfers to third countries
NIST AI RMF GOVERN 6.2 GOVERN 6.2: Contingency processes are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk
UK ATRS ATRS 2.1.4 Third party involvement
G7 Code G7 Action 11 Implement data input measures and protect personal data and intellectual property
GAO AI Accountability 2.6 Dependency: assess interconnectivities and dependencies of data streams that operationalize the AI system
AI Verify 9.3.1 Accountability: select AI system suppliers aligned with the organisation's approach, with remedial action when they underperform

Deployment, change and decommissioning

EU AI Act Art. 26 Obligations of deployers of high-risk AI systems (core)
ISO 42001 A.6.2.5 AI system deployment (core) (clause not verified)
ISO 42001 A.6.2.6 AI system operation and monitoring (core) (clause not verified)
NIST AI RMF MANAGE 2.4 MANAGE 2.4: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use (core)
NIST AI RMF MANAGE 4.1 MANAGE 4.1: Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management (core)
NIST AI RMF GOVERN 1.7 GOVERN 1.7: Processes and procedures are in place for decommissioning and phasing out AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness (core)
CSA AICM AIS-06 Secure Application Deployment (core)
AI Verify 9.4.1 Accountability: a policy to deactivate, decommission and phase out AI systems safely (core)
AI Verify 5.14.1 Security: proper and secure disposal of data and models (core)
AI Verify 6.5.1 Robustness: review changes in code, input data and output data to decide when a new robustness review is due (core)
EU AI Act Art. 43(4) New conformity assessment on substantial modification
EU AI Act Art. 20 Corrective actions and duty of information
EU AI Act Art. 79 Procedure at national level for dealing with AI systems presenting a risk
EU AI Act Art. 86 Right to explanation of individual decision-making
ISO 42001 A.9 Use of AI systems
CSA AICM CCC-01 Change Management Policy and Procedures
CSA AICM DSP-02 Secure Disposal
Singapore Agentic Agentic 2.3.3 When deploying, continuously monitor and test
CoE Convention CoE Art. 16(2)(g) Testing before first use and when significantly modified
OECD AI Principles OECD 1.4 Robustness, security and safety
TC260 Framework 3.0 TC260 5.3 Operators' safety guidelines
TC260 Framework 3.0 TC260 5.3.19 Re-assessment on material change
GAO AI Accountability 4.4 Ongoing assessment: assess the utility of the AI system to ensure its relevance to the current context
GAO AI Accountability 4.5 Scaling: identify conditions, if any, under which the AI system may be scaled or expanded beyond its current use
AI Verify 4.6.1 Safety: deployment strategies such as blue-green and canary deployments

Open controls that evidence it

Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.

AIGE-CTL-AGENT-018 MCP server admission gate (Agent runtime profile)
AIGE-CTL-AGENT-019 Local MCP servers sandboxed (Agent runtime profile)
AIGE-CTL-DATA-012 Registered Downstream Consumers of Outputs (Data admission and privacy profile)
AIGE-CTL-DEPLOY-007 Re-assessment when a change goes beyond what was foreseen (Deployment and monitoring profile)

Source

Chapter 08, section EU AI Act, post-Omnibus, checked against its sources on the review date above.

Machine-readable

This obligation: /api/v1/obligations/aige-obl-euaia-art25.json
The register: /api/v1/obligations.json · CSV
Schema and stability promise: open data and API

Cite this obligation

García Aibar, J. (2026). EU AI Act Art. 25: responsibilities along the AI value chain (AIGE-OBL-EUAIA-ART25). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-euaia-art25. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{EU AI Act Art. 25: responsibilities along the AI value chain (AIGE-OBL-EUAIA-ART25)}},
  howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
  year         = {2026},
  version      = {0.5.0},
  doi          = {10.5281/zenodo.22956197},
  url          = {https://aigovernanceengineer.com/obligations/aige-obl-euaia-art25},
  note         = {Version 0.5.0}
}