Governance and company secretarial teams at internationally active investment banks subject to the CPMI-IOSCO Initial Margin Disclosure Consultation are increasingly using AI to scope board-level briefings on CCP counterparty governance, draft policy updates on margin model oversight standards, generate audit committee papers on the May 2026 consultative document (d232), prepare board resolution language for adoption of revised CCP disclosure assessment frameworks, brief non-executive directors on the consultation's implications for the firm's CCP exposure profile, and produce the cross-jurisdictional governance mapping that records how the consultation's expected obligations translate across the firm's home and host regulator footprint.
The work product anchors the entity's documented governance position; once it enters the board pack and the minute, it is on the formal governance record.
Two frontier AI models tested by the RLB Specialist Panel on the consultation's text on CCP override framework disclosure produced a detailed three-part enumeration that the consultation does not contain, and converted a "should" expectation into a "must" mandatory requirement. The failure class is Source-Credit Fabrication: a structured enumeration of regulator-issued requirements that the regulator did not set, supported by a secondary commentary URL rather than the primary BIS d232 cover note. The structure of the closed list, more than the words, is what makes the misstatement survive a quick pre-circulation review.
For a Governance and Company Secretarial team, the operational consequence is that any board-level briefing on CCP counterparty governance, any policy update on margin model oversight standards, or any framework for assessing the adequacy of CCP disclosures that incorporates the AI output anchors the firm's governance position to a regulatory standard that was never set. Under CPMI-IOSCO's oversight framework and the jurisdiction-level prudential requirements that implement it, a regulator examining the firm's CCP counterparty risk governance could find that the firm's assessment criteria are unsupported by the actual regulatory text.
The enforcement and remediation exposure is difficult to contain once the fabricated standard is embedded in formal governance records: a corrected document is not enough, the entity needs a corrected governance record that explains why the original was incorrect.
The finding is from a Specialist Panel application-style question, framed the way a governance analyst or assistant company secretary would type it into an AI assistant when scoping the next board briefing on CCP counterparty governance, with the request scoped narrowly to the override framework disclosure area. The Panel bound the model output against the verbatim consultation text on the override framework, held as primary substrate. Citation: RLB-H-INT-BIS-CPMI-IOSCO-INITIAL-MARGIN-DISCLOSURE-CONSULT-2026-Q005-Sonnet46.
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 Governance & CoSec team at an internationally active investment bank asks AI tools to specify what CCPs must publicly disclose about their margin model override framework under the 2026 CPMI-IOSCO consultation, the AI produces a detailed three-part enumeration, circumstances warranting overrides, authorised decision-makers, permissible adjustment types, that the consultation does not contain. The consultation states only that CCPs should publicly disclose 'relevant information on their override framework', with the specific content of that disclosure left open for comment.
If this fabricated enumeration is carried forward into a board-level briefing on CCP counterparty governance, a policy update on margin model oversight standards, or a framework for assessing whether CCP disclosures are adequate, the firm has anchored its governance position to a regulatory standard that was never set.
Under CPMI-IOSCO's oversight framework and the jurisdiction-level prudential requirements that implement it, a regulator examining the firm's CCP counterparty-risk governance could find that the firm's assessment criteria are unsupported by the actual regulatory text, creating an enforcement and remediation exposure that is difficult to contain once the fabricated standard has been embedded in formal governance records.
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.