UK-Based AI Founder Publishes Three Open-Access Working Papers on the Operational Standard for AI Governance

Three papers: AOS-1 control plane, AOS-1 Verified certification scheme, GAIO Doctrine. Ahead of EU AI Act August 2026 enforcement.

LONDON, UNITED KINGDOM, June 9, 2026 /EINPresswire.com/ -- Rami Mohammed Kheir, founder of mAIb Tech LLC and principal of AOS Trust, has published three open-access working papers setting out the operational standard for AI governance in regulated enterprises. The papers are released ahead of the EU AI Act's high-risk-system enforcement window, which begins in August 2026.

The three papers:

1. The External Governance Layer: A reference architecture for AI decision control in regulated enterprises (AOS-1 Working Paper Series, AOS-1-WP-2026-01). Sets out a deployable reference architecture for an out-of-process control plane that intercepts AI agent actions, applies the operator's policy in milliseconds, and writes a tamper-evident audit record. DOI: 10.5281/zenodo.20446525.

2. AOS-1 Verified: A continuous-verification certification for AI management systems (AOS-1-WP-2026-02). Proposes a continuous-verification certification scheme as the replacement for annual AI certification, citing the inadequacy of point-in-time attestation for AI systems whose behaviour drifts within a single audit cycle. DOI: 10.5281/zenodo.20452961.

3. The GAIO Doctrine: Governance AI Optimization for non-AI-native enterprises (GAIO-WP-2026-01). Sets out the boundary between traditional governance, risk, and compliance work and agentic AI work, with a 90-day adoption roadmap for mid-tier audit firms and internal audit functions.
DOI: 10.5281/zenodo.20457628.

All three papers are open-access under the Creative Commons Attribution 4.0 International licence, archived on Zenodo with permanent DOIs, ORCID-linked (ORCID 0009-0009-6458-6606), and available in full at trust.aos-1.com/whitepapers and maib.io/whitepapers/gaio.

In the week of publication, Mohammed Kheir has also lodged named written submissions with three major standards and regulatory bodies: the United Kingdom AI Safety Institute (DSIT), the United States National Institute of Standards and Technology (NIST) on the AI Risk Management Framework and the AI 600-1 Generative AI Profile, and the European Commission's AI Office on the General-Purpose AI Code of Practice consultation.

The papers consolidate the technical architecture, certification scheme, and operating model behind AOS-1 — an open standard for AI governance now in deployment at first-mover regulated enterprises in financial services, insurance, and audit. The AOS-1 Verified certification scheme is on a published path toward EU AI Act Article 43 notified-body designation via ISO/IEC 17065 accreditation.

"Most enterprise AI programmes in 2026 are operating two parallel governance regimes: a paper one — committee minutes, model registers, policy documents — and a real one — what the model actually did in production last Tuesday at 14:32 UTC," said Rami Mohammed Kheir, founder of mAIb Tech LLC. "The gap between the two is the single largest unaddressed risk on the modern enterprise risk register. These papers set out the architecture that closes it."

The AOS-1 standard maps to eight regulatory and industry frameworks: ISO/IEC 42001:2023, the EU AI Act (Regulation 2024/1689), the NIST AI Risk Management Framework 1.0 and the NIST AI 600-1 Generative AI Profile, ISO/IEC 27001:2022, SOC 2, the Colorado AI Act (SB24-205), and the Korean AI Framework Act. The cross-walk between AOS-1 controls and the eight frameworks is publicly maintained at trust.aos-1.com/crosswalk. The working papers have also been submitted to SSRN for indexing and abstract distribution.

About mAIb Tech LLC

mAIb Tech LLC is a Delaware limited-liability company building deployable AI governance infrastructure for regulated enterprises. AOS Trust is a registered trade name of mAIb Tech LLC and acts as the certification body for the AOS-1 Operating Assurance Standard. The standard is openly published, versioned, and revised under a public-comment process.

About AOS-1

AOS-1 is an open operating assurance standard for AI management systems, published at version 0.11 in May 2026. It consists of 47 controls organised into 15 control families, mapped to eight major regulatory and industry frameworks, and is the basis for the AOS-1 Verified certification mark.

Media contact

Rami Mohammed Kheir, Founder, mAIb Tech LLC
rami.mohammedkheir@aos-1.com · +44 7534 697 722
trust.aos-1.com · maib.io
ORCID: 0009-0009-6458-6606

Rami Mohammed Kheir
mAIb Tech LLC
+44 7534 697722
email us here
Visit us on social media:
LinkedIn

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.