Company Secretaries at FMIs and at organisations whose governance documentation references CPMI-IOSCO supervisory output are increasingly using AI to draft board pack methodology notes on Level 3 assessments, prepare counterparty disclosure summaries on regulator engagement, produce committee minute extracts characterising the assessment lifecycle, and validate procedural-fact statements destined for the audit-committee record. The November 2025 CPMI-IOSCO Level 3 assessment of general business risk, recorded under PFMI Principle 15, is the supervisory exercise most directly bearing on this practice area in the current cycle.
As AI tooling enters the drafting layer, the question is no longer whether AI-assisted work product reaches client-facing deliverables; it is whether the work product reaches them with the regulator-text fidelity that Company Secretaries need.
The RLB Specialist Panel tested two frontier AI models on a question set covering the LNAFE quantitative floor, the Basel/CRD equity carve-out condition, and the November 2025 assessment lifecycle. The Panel records 1 finding on this audience-specific cell. The failure pattern in scope: Supervisory-timeline truncation, dropping the validation phase. Questions are prepared by the RLB Specialist Panel based on real practical AI usage in the workflows the respective audience uses AI for. The Panel binds each AI finding to verbatim regulator-issued source text held as primary substrate.
For Company Secretaries the operational consequence is direct. A board pack that records the CPMI-IOSCO Level 3 assessment as having run "during 2023 and 2024" misrepresents a supervisory process by truncating its 2025 findings-sharing and validation phase, and any downstream document that inherits that draft, whether a counterparty memorandum, a peer-review submission, or a regulator engagement summary, will carry the same factual inaccuracy.
PFMI Principle 15 is one of the cleanest primary-source surfaces in the cross-border CCP and CSD universe: a Key Consideration cited in a deliverable is either the right KC or it is not; a quantitative floor is either the regulator's text or it is not; an assessment-period date range is either accurate or it is not. Each is recoverable on a routine line-by-line read.
The audit's 1 finding for this cell carry immutable RLB Citation IDs and are bound to verbatim regulator-issued source text held by the RLB Specialist Panel: RLB-H-INT-BIS-CPMI-IOSCO-PFMI-L3-GENERAL-BUSINESS-RISK-2025-Q005-Sonnet46. The full audit on the November 2025 CPMI-IOSCO Level 3 assessment is published at the PFMI Level 3 General Business Risk hub on RegLegBrief.com.
This is the consolidated view of findings. Click the Citation IDs or 'see details →' on any item for the full details for each finding.
When a Company Secretary uses AI to draft a methodology note characterising the CPMI-IOSCO Level 3 assessment, the AI's account of when the assessment ran is wrong: it describes a 2023–2024 window rather than the full 2023–2025 lifecycle confirmed in the primary publication. The error directly misrepresents the procedural scope of the assessment, including the findings-sharing and validation phase that ran through April 2025, and any board pack, regulatory engagement summary, or counterparty disclosure built on that draft will carry a factual inaccuracy about a BIS supervisory process.
For Company Secretaries in international jurisdictions, where procedural representations in governance documentation carry sign-off weight, this is the category of error that surfaces in audit review or counterparty challenge rather than internal drafting, by which point correction is costly.
Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.