
Agentic AI is moving from output generation to real system action. As autonomous and semi-autonomous agents invoke tools, call APIs, update records, retrieve and reuse context, trigger workflows, move data, and affect protected systems, the trust question shifts from output correctness to action acceptance: Should this exact autonomous action be accepted before impact? Identity, access control, workload authentication, runtime attestation, policy checks, encryption, and logs remain necessary. But they do not always establish that a specific action is authorized, scoped, fresh, not revoked, target-consistent, and verifier-ready at the acceptance boundary. This technical note introduces the Acceptance Plane™: an architectural function that determines whether a specific autonomous AI action should be accepted by a protected system before impact, based on current, scope-bound, verifier-ready evidence at the acceptance boundary. The release defines the concept, distinguishes protected execution from accepted action, and provides a public reference workflow for action-level trust in agentic AI infrastructure: identity and delegation signals, runtime evidence, policy state, target and scope checks, freshness and revocation verification, an ACCEPT / HOLD / REFUSE decision, and a verifier-ready acceptance receipt. The purpose of this release is to provide a public, citable architecture thesis for action-level trust in agentic AI infrastructure: decision before action, proof before impact. This record is not a formal standard, product specification, legal opinion, compliance certification, patent claim chart, implementation disclosure, commercial deployment artifact, or certification program.
This record is the canonical Zenodo technical note for Meridian Verity Group’s public architecture thesis on the Acceptance Plane™. The GitHub repository and release materials, if published, are provided as source and provenance materials for the same public thesis. They are not a software product release, implementation package, commercial deployment artifact, certification program, or formal standard. Related public works on fail-closed conformance receipts, permit-before-commit authorization, and PermitReceipt evaluation artifacts are referenced for context and provenance only. This record remains the canonical technical note for the Acceptance Plane™ public architecture thesis. License and notices This release is made available under Creative Commons Attribution 4.0 International (CC BY 4.0) for the public architecture thesis, related documentation, and accompanying figures. The license applies only to copyrightable text, documentation, and visual materials included in this public release. It does not grant any patent license, trademark license, service mark license, product implementation license, certification right, compliance approval, endorsement, or right to use Meridian Verity Group names, logos, marks, or framework identifiers as source-identifying marks. “Acceptance Plane™” and “The Acceptance Plane™” are used as Meridian Verity Group framework identifiers and source-identifying marks. This record is a public architecture thesis. It is not a formal standard, product specification, legal opinion, compliance certification, patent claim chart, implementation disclosure, commercial deployment artifact, or certification program.
AI Infrastructure, Fail-Closed Autonomy, Verifier-Ready Evidence, Action Acceptance, Agentic AI, Runtime Attestation, Verifier-Ready Receipts, Acceptance Boundary, AI Agents, AI Security, Enterprise AI, Zero Trust, Acceptance Plane
AI Infrastructure, Fail-Closed Autonomy, Verifier-Ready Evidence, Action Acceptance, Agentic AI, Runtime Attestation, Verifier-Ready Receipts, Acceptance Boundary, AI Agents, AI Security, Enterprise AI, Zero Trust, Acceptance Plane
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
