Skip to main content

Action space

The set of distinct actions an agent can take by itself, one per tool it can call (send email, run code, make a purchase, modify a database, post publicly, spend from a budget). The most important thing to enumerate about an agent; you cannot bound what you have not listed.

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.

Certified AI Governance Professional (CAIGP)

The set of distinct actions an agent can take by itself, one per tool it can call (send email, run code, make a purchase, modify a database, post publicly, spend from a budget). The most important thing to enumerate about an agent; you cannot bound what you have not listed.

Certified Agentic AI Governance Professional (CAAGP)

The full set of actions an agent is capable of attempting, whether or not each one is currently permitted. Bounding measures shrink the action space; checkpoints govern specific instances of actions that remain inside it.

Certified Agentic AI Governance Professional (CAAGP)

What an agent can actually do in the world (send, book, cancel, write, transact, escalate) as distinct from text it merely produces for a human to act on; formally defined in (see Topic 2.1).

Certified Agentic AI Governance Professional (CAAGP)

The full set of tools, permissions, and transactions an agent can execute, first enumerated in (see Topic 2.1) and rated for reversibility in this topic.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Action space 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.

Human oversight designGovernance and Oversight

Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.

One lesson on this page teach it as a primary outcome.

Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.

One lesson on this page teach it as a primary outcome.

Knows when to trust, verify, escalate or override an AI recommendation, and stays accountable for the decision.

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.

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.

“human oversight”“human in the loop”“human review”“automation bias”“meaningful review”“ai agents”

Where the frameworks place it: EU AI Act Article 14; ISO/IEC 42001 Annex A; IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF.

One interview question about it

Design the human oversight for an AI system that approves refunds. What does the reviewer see, and what stops rubber-stamping?

Asked of candidates for human oversight design. 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.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.