DTCC flags data consistency risks in ISO 20022 corporate actions push

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DTCC flags ISO 20022 risk

Highlights

DTCC highlights that weaknesses in upstream corporate action data creation, such as missing fields and conflicting announcements, create operational risks and processing delays.
Fragmented data and manual workflows in corporate actions could become significant structural constraints as markets scale, adopt longer trading hours, or transition to tokenized models.
DTCC warns that ISO 20022 adoption, alongside AI and distributed ledger technologies, will only reduce risk and improve processing if industry achieves consistent data interpretation and execution, not just standardized formats.

Upstream data quality remains the key gap

As outlined by DTCC, the main weakness in corporate actions processing lies at the point where issuer information is first created, validated and distributed, rather than only in downstream transmission. The organization says a shared messaging standard helps firms exchange information in a more structured way, but does not resolve missing fields, ambiguity or conflicting announcements at the source.

DTCC says those weaknesses force market participants to compare multiple sources, seek clarification and handle exceptions manually. It adds that putting unclear information into a standard format does not by itself create true standardization, because the market still needs consistent interpretation and execution across participants.

The group says the issue has direct implications for operational risk, processing costs and the time investors have to make decisions. DTCC, which supports corporate actions processing for about 1.5 million active securities, warns that fragmented data and manual workflows risk becoming a structural constraint as markets scale and adopt longer trading hours or tokenized models.

Modernization raises pressure for consistent execution

DTCC says the same underlying problem extends to newer technologies including APIs, artificial intelligence, distributed ledgers and tokenized assets. In its view, these tools can help redesign how information is recorded and shared, but they can also reproduce existing fragmentation if standards are applied differently across platforms, networks and markets.

The organization says AI can help compare information, identify discrepancies and reduce manual work, but cannot reliably infer an issuer's intent when an announcement is incomplete or unclear. It argues that AI should strengthen sound processes rather than accelerate flawed ones.

DTCC also says broad adoption of ISO 20022 will depend on a clear value proposition for issuers, agents, custodians, infrastructure operators, technology providers and regulators. The company points to benefits such as better information, fewer manual corrections, more consistent processing and lower risk, while arguing that success should be measured by better execution rather than adoption alone.

Referring to discussions at Sibos 2026, DTCC says the industry largely agrees on the end goal but still faces questions over how to align data, market practice, governance and measurable outcomes. It adds that regulation may step in if the market fails to act, though lasting progress will require coordinated industry execution beyond the existence of a shared standard.

In our earlier article on AI agents in large U.S. companies, we noted that many CEOs are seeing efficiency and growth benefits, but only a small share consider the technology transformational so far. The piece highlighted that realizing bigger gains typically requires modernizing processes, improving data readiness, and investing in skills and infrastructure rather than expecting plug-and-play results.

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