Singapore IMDA Model AI Governance Framework for Agentic AI: human checkpoints for significant actions (voluntary)

Significant checkpoints for high-stakes, irreversible, outlier and user-defined actions, with approvals that are contextual and digestible and enforced through system-level controls

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-SG-AGENTIC-CHECKPOINTS. Drawn from chapter 08.

Text alternative

Clause: Singapore Agentic, Agentic AI framework v1.5.
Duty holder: Organisations deploying agents.
Applies from: No date, Voluntary.
Artefact: Checkpoint classes….
Layers: Layer 04, Layer 05.
Evidence record: Evidence record v1.
Record schema: Evidence record.
No crosswalk topic files this clause yet.

Id: AIGE-OBL-SG-AGENTIC-CHECKPOINTS
Instrument: Singapore Model AI Governance Framework for Agentic AI framework
Clause: Agentic AI framework v1.5: human checkpoints
In scope: Organisations deploying agents
Applies from: No date Voluntary · version 1.5 published 2026-05-20

The artefact that evidences it

Checkpoint classes in the tool gateway; approval log; oversight metrics.

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-SG-AGENTIC-CHECKPOINTS
Family	Item	Relation
Open controls	AIGE-CTL-AGENT-009 Approval log, bound to the call	Direct
Open controls	AIGE-CTL-AGENT-033 Approval requests a person can read	Direct
Open controls	AIGE-CTL-AGENT-006 Checkpoint before every write	Direct
Open controls	AIGE-CTL-AGENT-015 Checkpoints on irreversible actions, failing closed	Direct
Open controls	AIGE-CTL-DEPLOY-003 Oversight by trained people with authority to stop	Direct
Open controls	AIGE-CTL-AGENT-032 Plan reviewed before it runs	Direct
Open controls	AIGE-CTL-EVAL-004 Tool and Action Mediation	Direct
Open controls	AIGE-CTL-AGENT-041 User-set approval thresholds	Direct

Patterns that build it

No pattern in the catalogue names this clause on its "Maps to" line yet; the artefact above is the engineering answer.

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-EVAL-004 Tool and Action Mediation (Evaluation environment profile)
AIGE-CTL-AGENT-006 Checkpoint before every write (Agent runtime profile)
AIGE-CTL-AGENT-009 Approval log, bound to the call (Agent runtime profile)
AIGE-CTL-AGENT-015 Checkpoints on irreversible actions, failing closed (Agent runtime profile)
AIGE-CTL-AGENT-032 Plan reviewed before it runs (Agent runtime profile)
AIGE-CTL-AGENT-033 Approval requests a person can read (Agent runtime profile)
AIGE-CTL-AGENT-041 User-set approval thresholds (Agent runtime profile)
AIGE-CTL-DEPLOY-003 Oversight by trained people with authority to stop (Deployment and monitoring profile)

Source

Chapter 08, section Other jurisdictions, checked against its sources on the review date above.

Machine-readable

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

Cite this obligation

García Aibar, J. (2026). Singapore IMDA Model AI Governance Framework for Agentic AI: human checkpoints for significant actions (voluntary) (AIGE-OBL-SG-AGENTIC-CHECKPOINTS). 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-sg-agentic-checkpoints. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{Singapore IMDA Model AI Governance Framework for Agentic AI: human checkpoints for significant actions (voluntary) (AIGE-OBL-SG-AGENTIC-CHECKPOINTS)}},
  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-sg-agentic-checkpoints},
  note         = {Version 0.5.0}
}