Deployer (Article 3(4))
The organization that uses an AI system under its own authority in the course of a professional activity. Deployers carry real but lighter duties than providers, such as using the system per its instructions, ensuring human oversight, and informing affected people where required. Most organizations are deployers of most of their AI.
Defined in 2 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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 organization that uses an AI system under its own authority in the course of a professional activity. Deployers carry real but lighter duties than providers, such as using the system per its instructions, ensuring human oversight, and informing affected people where required. Most organizations are deployers of most of their AI.
The natural or legal person, authority, agency, or other body that uses an AI system under its own authority, except in a personal non-professional capacity. A deployer's Article 95 code should be scoped to use-side governance practices, not provider-side technical documentation obligations.
An entity that uses an AI system under its own authority, in a professional context, except in a personal non-professional capacity; deployers carry obligations under Article 26 including human oversight assignment, monitoring, and log retention.
Any natural or legal person, public authority, agency or other body using an AI system under its own authority, except where the AI system is used in the course of a personal non-professional activity.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The two gates: is it an AI system, and does the Act apply to your organization at all · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- Organizational Positioning: Legal, Compliance, IT, or Operations? · The EU AI Act Expert Role, EU AI Act Implementation Expert
- Transparency and Information to Deployers (Article 13) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
- Codes of Conduct for Non-High-Risk AI (Article 95) · Governance, Sandboxes, and SME Support, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Deployer (Article 3(4)) 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.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
2 lessons on this page teach it as a primary outcome.
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
One lesson on this page teach it as a primary outcome.
Decides where AI should be used, where it should not, and which use cases create measurable value, tied to the organization's priorities.
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.
- Responsible AI Leadneeds it at depth · 7 open postings this week
- Chief AI Officerneeds it at depth
- Chief Compliance Officer, AI compliance editionneeds it at depth
- Chief Privacy Officer, AI privacy editionneeds working knowledge
- VP of AI Governance and Ethicsneeds it at depth
- AI Regulatory Counselneeds working knowledge · 14 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: EU AI Act Articles 13 and 50; NIST AI RMF trustworthiness characteristics; NIST AI RMF GOVERN; ISO/IEC 42001 Clause 5.
One interview question about it
A customer asks why the model decided against them. What can you explain, what can you not, and how can they contest it?
Asked of candidates for explainability, transparency and contestability. 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 business, MBA or technology management degree carries it as a claim to back up: Strategy and opportunity triage are the core of the degree.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.