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Holding·last review30 May 2026

ISO/IEC 42001:2023, the first certifiable artificial intelligence management system standard, has moved from a vendor marketing claim to an enterprise AI procurement checkpoint through 2025-2026, appearing as a stated or preferred requirement in regulated-sector and EU AI RFPs; the certificate is a necessary-not-sufficient screen (it attests to a governance management system, not to any specific model's safety, accuracy, or data provenance), so the buying-committee discipline is to require the evidence behind it (scope statement, Statement of Applicability, certification body and accreditation, validity dates, product-level AI risk assessment) and to pair it with a control-baseline mapping (NIST SP 800-53 / AI RMF) and the buyer's own product evaluation rather than treating the certificate as proof.

Anchored on (a) ISO/IEC 42001:2023 at iso.org/standard/42001, published 18 Dec 2023, the first certifiable AI management system standard, same management-system family as ISO/IEC 27001; (b) isms.online procurement-and-tender analysis describing 42001 appearing in tenders with board-approved AI policy, auditable risk registers, and contractual audit rights as procurement criteria; (c) BSI Group ISO 42001 certification materials; (d) EU AI Act Regulation (EU) 2024/1689 Articles 9 (risk management) and 17 (quality management system) as the obligations 42001 maps toward. SOFT-SOURCING / VERIFY-BEFORE-PUBLISH FLAG: this claim was drafted 30 May 2026 against research conducted post the author's Jan-2026 knowledge cutoff. The DURABLE, verifiable core is the existence and nature of ISO/IEC 42001:2023 (pre-cutoff fact) and its management-system-not-product-certification structure. The POST-CUTOFF, root-domain-confidence elements Peter should verify before publish: (1) the strength and breadth of the 2025-2026 'appearing in RFPs' trend (sourced to isms.online + SAP community blog, characterised qualitatively, no hard adoption percentage asserted); (2) which specific major AI vendors now hold the certification; (3) that no EU AI Act implementing act has yet designated 42001 as a presumption-of-conformity route (stated cautiously in the piece). No adoption statistic is asserted as fact; the piece argues the pattern qualitatively. 90-day review cadence (28 Aug 2026). Trigger conditions: (1) a major vendor losing/failing to maintain certification, or a certification wave, materially shifts the landscape; (2) EU AI Act implementing acts or harmonised standards formally recognising or superseding 42001 strengthens or weakens the claim; (3) evidence of 42001 as a hard RFP gate (not preference) in North American procurement moves it from emerging toward established. Sibling AM-193 (nist-cosais-sp-800-53-ai-agent-security-gap) covers the runtime security-control layer; the procurement playbook and 60-question RFP pieces cover the wider buying process.

Published
30 May 2026
Last reviewed
30 May 2026
Next review
+71d· 28 Aug 2026
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The claim: ISO/IEC 42001:2023, the first certifiable artificial intelligence management system standard, has moved from a vendor marketing claim to an enterprise AI procurement checkpoint through 2025-2026, appearing as a stated or preferred requirement in regulated-sector and EU AI RFPs; the certificate is a necessary-not-sufficient screen (it attests to a governance management system, not to any specific model's safety, accuracy, or data provenance), so the buying-committee discipline is to require the evidence behind it (scope statement, Statement of Applicability, certification body and accreditation, validity dates, product-level AI risk assessment) and to pair it with a control-baseline mapping (NIST SP 800-53 / AI RMF) and the buyer's own product evaluation rather than treating the certificate as proof.

About this register

The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.

Recent corrections in Reporting

  • AM-008 · Partial · 17 Jun 2026

    Source-text figure re-review: Google's 2024 Environmental Report reports a 28% year-over-year increase to 8.1 billion gallons, not the 33% (from a 6.1 billion 2023 base) asserted at publish. The 8.1B 2024 figure and the Microsoft WUE 0.30 L/kWh / 39%-improvement figure are unchanged and verified. Article corrected to 28% and the unsupported 6.1B base removed; the claim text retains the original figure with this correction per the Holding-up protocol.

  • AM-132 · Partial · 10 Jun 2026

    One of four legs unanchored on re-review. The claim text attributes '12% of deployments clearing 300%+ ROI with 88% at or below break-even at 12-18 months' to the Stanford DEL 2026 Enterprise AI Playbook. Full-text verification on 10 Jun 2026 found no such figure in that source: the playbook (Pereira, Graylin, Brynjolfsson, Apr 2026) studies 51 successful deployments by design and contains no ROI distribution, no 300%-plus cohort, and no break-even measurement point (full finding at AM-029, correction of 10 Jun 2026). The only verified figure carrying the same 12/88 numerals is IDC research with Lenovo (via CIO.com, Mar 2025): roughly 88% of AI proof-of-concepts never reach production and roughly 12% graduate — a pilot-to-production graduation metric, not an ROI distribution. The Gartner 28%, McKinsey 23%/17%, and MIT NANDA 95% legs verify; they support a small high-performing tail and a large struggling body, but none documents the two-peak bimodal shape the claim asserts. Status Up -> Partial.

  • AM-129 · Partial · 10 Jun 2026

    One of three read-against anchors unanchored on re-review. The claim text cites 'Stanford Digital Economy Lab Enterprise AI Playbook (12/88 bimodal ROI distribution at 12-18 months)' and frames the realistic ROI band around 'the highest-discipline 12% cohort'. Full-text verification on 10 Jun 2026 found the playbook contains no 12/88 distribution, no bimodal ROI shape, and no 12-18-month ROI measurement point (full finding at AM-029, correction of 10 Jun 2026). The claim's core negative finding — no mid-market enterprise has produced a documented +240% ROI in 90 days under audited conditions — is unaffected; the McKinsey State of AI 2025 and MIT NANDA legs verify and continue to support it. The '12% cohort' framing has no verifiable referent. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric. Status Up -> Partial.

Reviews coming up in Reporting

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    AI agents executing financial transactions need a four-control bundle (action-approval gates by blast radius, kill-swit…

  • AM-061 · Holding · next +9d (27 Jun 2026)

    Production agentic-AI costs at scale routinely run multiples of POC projections, and a layered optimisation programme c…

  • AM-003 · Partial · next +9d (27 Jun 2026)

    GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…

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