Public auditors performing financial-statement audits of CCPs, CSDs, and other FMIs are increasingly using AI to scope LNAFE buffer testing, draft Principle 15 compliance-walkthrough notes, validate Basel-versus-LNAFE capital eligibility assessments, and prepare audit-committee briefings on the November 2025 CPMI-IOSCO Level 3 findings cycle. 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 Public Auditors 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 2 findings on this audience-specific cell. The failure pattern in scope: Source-text condition replacement with an invented overlay test; Quantitative-floor inflation into a fabricated composite minimum. 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 Public Auditors the operational consequence is direct. An audit work programme built on AI output that imports a fabricated KC4 liquidity test for Basel/CRD equity inclusion, or that frames the six-month floor as a "greater of" dual-track with a scenario-analysis sizing leg that does not appear in KC3, produces a gap analysis structurally misaligned with the Principle.
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 2 findings 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-Q002-Opus47, RLB-H-INT-BIS-CPMI-IOSCO-PFMI-L3-GENERAL-BUSINESS-RISK-2025-Q003-Opus47. 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.
An auditor relying on this AI response would advise that Basel/CRD equity can only count toward the KC3 LNAFE buffer if the underlying assets also satisfy a KC4 liquidity test, a condition that appears nowhere in KC3. A CCP applying this fabricated eligibility screen would potentially exclude compliant equity capital from its LNAFE calculation, understating its buffer and generating a false compliance gap. The client loses a correct eligibility analysis; the auditor's sign-off references a standard that does not exist, exposing the opinion to immediate challenge against the PFMI source text.
An auditor accepting the 'greater of' framing would assess a CCP's LNAFE buffer against a dual-track minimum, the six-month floor and a scenario-analysis sizing leg, when KC3 contains only the six-month floor. The scenario-analysis obligation sits in KC2 and is a separate, prior step in the compliance analysis. The practical effect is that an auditor applying the fabricated composite standard could reach a different compliance conclusion than one reading KC3 directly, and would produce a gap analysis built on a structural misreading of the KC architecture.
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.