What percentage of faster payment systems and RTGS systems currently use ISO 20022 messaging, according to CPMI monitoring data?
The regulator's record gives two distinct figures — faster payment systems and RTGS systems are separately characterised, with RTGS adoption described as approaching half. The model collapsed these into a single blended percentage applied to both system types simultaneously. The 79% figure appears to be an internally-reconstructed composite; it matches neither the faster-payment nor the RTGS figure in the official record. The failure is silent — the model expressed no uncertainty about the figure it produced.
This failure implicates the training corpus's handling of subcategory-level numeric claims from official-speech channels. The model produced a single blended 79% figure where the regulator's March 2026 speech gives two distinct values — one for faster payment systems and a substantially lower one for RTGS. This suggests the speech content either was not retrieved or was compressed during ingestion in a way that averaged across the two system-type categories. If your eval suite tests adoption-rate questions at the aggregate level only, this failure is invisible; the gap is specifically at subcategory resolution.
An accountant advising an RTGS operator on competitive positioning or compliance timeline faces a direct exposure: the AI's blended '79% for both' figure overstates RTGS adoption by approximately 30 percentage points relative to the regulator's own 'approaching half' formulation. A client briefing or board memo built on this figure will misrepresent the peer-group baseline and the urgency of the client's migration decision. When the client or their counterparty subsequently references the BIS speech directly, the discrepancy is difficult to explain without acknowledging that the underlying source was not verified.
Each finding has a stable Citation ID (RLB-F-… for aggregated case-study findings, RLB-H-… for raw per-model hallucinations) — like a DOI, the ID always resolves to the canonical finding even if URLs change.
RegLeg Specialist Panel (2026). "Finding#1 — ISO 20022 adoption rate conflation: RTGS vs faster payments — Practitioners — Accountants (CA/PA)." Citation ID: RLB-F-INT-BIS-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-Q006. RegLegBrief AI Hallucination Research, published 2026-06-03. https://reglegbrief.com/regulators/j1/int/bis-cpmi/cpmi-iso-20022-harmonisation-updated-2026/practitioners/accountants-ca-pa/finding/INT-BIS-CPMI-INT-001-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-v1-006/
RegLeg Specialist Panel. (2026). Finding#1 — ISO 20022 adoption rate conflation: RTGS vs faster payments [Hallucination finding RLB-F-INT-BIS-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-Q006]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j1/int/bis-cpmi/cpmi-iso-20022-harmonisation-updated-2026/practitioners/accountants-ca-pa/finding/INT-BIS-CPMI-INT-001-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-v1-006/
RegLeg Specialist Panel, Finding#1 — ISO 20022 adoption rate conflation: RTGS vs faster payments [RLB-F-INT-BIS-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-Q006], RegLegBrief AI Hallucination Research (June 03, 2026), https://reglegbrief.com/regulators/j1/int/bis-cpmi/cpmi-iso-20022-harmonisation-updated-2026/practitioners/accountants-ca-pa/finding/INT-BIS-CPMI-INT-001-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-v1-006/.
@misc{reglegbrief_RLB_F_INT_BIS_CPMI_ISO_20022_HARMONISATION_UPDATED_2026_Q006,
author = {RegLeg Specialist Panel},
title = {Finding#1 — ISO 20022 adoption rate conflation: RTGS vs faster payments},
year = {2026},
publisher = {RegLegBrief AI Hallucination Research},
note = {Hallucination finding Citation ID: RLB-F-INT-BIS-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-Q006},
url = {https://reglegbrief.com/regulators/j1/int/bis-cpmi/cpmi-iso-20022-harmonisation-updated-2026/practitioners/accountants-ca-pa/finding/INT-BIS-CPMI-INT-001-CPMI-ISO-20022-HARMONISATION-UPDATED-2026-v1-006/}
}