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 AI assistant attributed the CPMI messaging workstream chair role to the Federal Reserve Bank of New York and inserted a named individual in that position — both wrong. The Reserve Bank of Australia chairs the working group, as confirmed in RBA public communications. If a Compliance team uses this output in a regulatory engagement briefing, a governance register, or senior committee materials, the firm misrepresents the CPMI's institutional structure to its own leadership and potentially to external counterparts.
Correcting a named-official error after it has been cited in a board pack or regulatory submission carries remediation and credibility costs that are disproportionate to the ease of source verification at the outset.
An AI assistant collapsed two materially distinct ISO 20022 adoption rates — more than three-quarters for faster payment systems and approaching half for RTGS systems — into a single invented 79% figure applied to both. The gap between approaching half (~50%) and 79% for RTGS is not noise: it determines whether a Payment Institution benchmarking its correspondent network against market norms concludes its RTGS counterparts are laggards or in line with peers.
A Compliance team that accepts the AI's figure may under-pressure correspondents on faster payment readiness while over-assuring the board on RTGS migration progress, producing a skewed readiness picture that sits in the firm's regulatory horizon-scanning record until a counterpart or regulator points out the discrepancy.