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GAMMA-Rayv0.0.155 · beta

AAGMM: GD-12

Provision aagmm.GD-12 · Agentic AI Governance Maturity Model (AAGMM) · domain

Continuous Improvement

The text is cited by name, as its licence allows. In the source: https://arxiv.org/abs/2604.16338 (the document: its publisher gives no deeper address for this item; linked 2026-11-10). The instrument: Agentic AI Governance Maturity Model (AAGMM), CC BY-NC-ND 4.0: cited by domain name only, not adapted; read 2026-11-09.

Who cites it

IndicatorThe fact it asks forKind of linkThe assertion
I68It is improved on a regular cyclesame: evidencedAsserted in the mapping by gamma-ray@web-summit.dinis; the written basis is not recorded yet.

A link is our assertion, not the instrument's. "Same" carries the evidence to the provision in full. "Part" marks the provision as partly evidenced: the fact is one piece of what it asks. "Negation" points the other way.

The evidence that reaches it

CardThroughThis provision isThe evidenceHow far to trust it
AISLE platformI68evidenced"Monthly registry push/pull" Sourceπ Moderate · S1·R5·A1 ×3
GetVocal AI agentsI68evidenced"Every correction, escalation and validation feeds back as a learning signal." Sourceπ Moderate · S1·R5·A1 ×3
Replit AgentI68evidencedSourceπ Moderate · S1·R5·A1 ×3
Spinnable AI employeesI68evidenced"October 28, 2026" Sourceπ Moderate · S1·R5·A1 ×3
Visor.ai AI agentsI68evidenced"Nexa reads real conversations on a schedule" Sourceπ Moderate · S1·R5·A1 ×3

Touched never means complies.

Answer it directly

A company can answer this line item itself, in its own file at /.well-known/fact-ray.json, with the node gamma-ray:provision/aagmm.GD-12 (how). A company that already assesses itself against AAGMM can reuse that work.

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