Agent (AI agent)
A system that chooses its own steps, selects its own tools, and determines its own sequence of operations to pursue a goal, as distinct from a multi-step workflow where a human designer specifies each step in advance. Both use composable primitives (chaining, routing, etc.), but in an agent the model makes the A-stage decisions; in a workflow, the human does. This distinction matters for governance: an agent without a human supervision point before irreversible actions has transferred the A-stage accountability to the model.
Defined in 2 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in Certified AI Practitioner: Workplace Foundations.
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.
A system that chooses its own steps, selects its own tools, and determines its own sequence of operations to pursue a goal, as distinct from a multi-step workflow where a human designer specifies each step in advance. Both use composable primitives (chaining, routing, etc.), but in an agent the model makes the A-stage decisions; in a workflow, the human does. This distinction matters for governance: an agent without a human supervision point before irreversible actions has transferred the A-stage accountability to the model.
An AI (artificial intelligence) system that takes actions in the world or produces outputs to a user or another system, not only one that answers questions. Every agent an organization runs is in the scope of the agent governance policy.
A system given a goal that pursues it by taking multiple self-directed actions, using tools, without per-step human approval, until the goal is met or a stopping point is reached. The builders converge on this core: a goal, self-directed steps, tool use, and action taken without approving each step (Anthropic, OpenAI, IBM, Google, 2024 to 2026).
A system that pursues a goal by planning and taking actions across multiple steps, calling tools and using results to decide what to do next, rather than only responding to a single prompt. The full definition and its boundaries are owned by Topic 9.1 (see Topic 9.1).
An AI system that takes actions in the world (sends, updates, buys, deletes, calls tools), not just one that answers questions. Its outputs change a state it then reads back, which is what makes runaway loops possible.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Workflow Design Fundamentals and Preventing Technical Debt · Practical AI Workflow Design and Prompt Engineering, Certified AI Practitioner: Workplace Foundations
- AI Agents vs. AI Assistants: Understanding Autonomy · Agentic AI and Workforce Integration, Certified AI Practitioner: Workplace Foundations
- The Year of the AI Agent: How 2026 Workplaces Are Changing · Agentic AI and Workforce Integration, Certified AI Practitioner: Workplace Foundations
- The runaway afternoon: your agent misbehaves in a loop, contain it live · Agents Under Command, Certified AI Governance Professional (CAIGP)
- Agent governance policy: the one-page rules for every agent your organization runs · Agents Under Command, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Agent (AI agent) 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.
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
2 lessons on this page teach it as a primary outcome.
Briefs a model like a good manager: context, constraints, examples, verification, and knows when to stop delegating.
One lesson on this page teach it as a primary outcome.
Designs role-based AI training that measures skill, not attendance, with approved-use guidance, office hours and communities of practice.
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.
- Chief Information Security Officer, AI security focusneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- AI Literacy Leadneeds it at depth
- AI Adoption and Enablement Leadneeds it at depth
- Chief Technology Officer, AI engineering editionneeds working knowledge
- VP of AI Governance and Ethicsneeds working knowledge
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: IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF; EU AI Act Article 4; DOL AI Literacy Framework.
One interview question about it
An agent can send emails and update records. What may it touch, what needs a human, and how do you prove afterwards what it did?
Asked of candidates for agentic ai controls and authorization boundaries. 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 computer science or software engineering degree carries it as work you can show: Prompting and tool workflows are already in your daily work.
- Human resources and people operations carries it as a claim to back up: Training design and delivery are part of the function.
- Operations, claims, customer service and administration carries it as a claim to back up: Onboarding and job aids are training design.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.