Skip to main content

Agentic AI value chain

The framework's model of the actors involved in bringing an agentic system to an end user: model developers and tooling providers, platform providers, system providers or app developers, the deploying organization, and end users. An organization can occupy more than one role at once (an organization that builds and deploys its own agent is both a system provider and a deployer), and Dimension 2 asks an organization to allocate accountability clearly both within its own teams and across this external chain.

Defined in 2 GAGE programs, which carry 2 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 framework's model of the actors involved in bringing an agentic system to an end user: model developers and tooling providers, platform providers, system providers or app developers, the deploying organization, and end users. An organization can occupy more than one role at once (an organization that builds and deploys its own agent is both a system provider and a deployer), and Dimension 2 asks an organization to allocate accountability clearly both within its own teams and across this external chain.

Certified Agentic AI Governance Professional (CAAGP)

The framework's named set of roles across a deployed agent (model developers and tooling providers, platform providers, system providers or app developers, the deployer, end users), used to trace which role's choices contributed to a harmful action and which role could have added the missing safeguard, rather than searching for a single culprit. (see Topic 4.2)

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 Agentic AI value chain 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.

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

Applies IMDA's Model AI Governance Framework, AI Verify and the PDPA alongside Western frameworks for organizations operating across Asia.

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.

“ai agents”“autonomous agents”“agent permissions”“tool access”“ai verify”“model ai governance framework”

Where the frameworks place it: IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF; IMDA Model AI Governance Framework; PDPA.

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.

Terms it appears with

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