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Chainlink-led consortium with Swift, DTCC, UBS and others has demonstrated an AI+blockchain workflow that standardizes corporate actions data into “golden records” to power tokenized equities and automate post‑trade across public and private chains

October 1, 2025 //  by Finnovate

A host of banking and capital market players – including Swift, the DTCC and UBS – have closed out the second stage of a Chainlink-led project to use AI and blockchain technology to standardise and streamline corporate actions processing. For phase 2 of the project, 24 organisations – including ANZ, DBS Bank and TMX – introduced a production-grade deployment by making substantial improvements to the speed, reach, and accessibility of corporate actions data in a move the partners claims could save the global financial system tens of billions of dollars a year. The system uses Chainlink’s Runtime Environment to validate outputs from multiple AI models and convert them into ISO 20022-compliant messages, which are then transmitted via the Swift network. Simultaneously, Chainlink’s Cross-Chain Interoperability Protocol distributes the same verified data across DTCC’s blockchain and other networks, ensuring synchronized access across both traditional and blockchain-based platforms. New roles for data attestors and contributors were introduced to verify and complete data, creating a secure and traceable data lifecycle. The system achieved nearly perfect consensus among AI models during testing, resulting in a unified, real-time source of truth for corporate actions. This enables smart contracts, custodians, and post-trade systems to access consistent data, and supports tokenized equities by allowing them to reference the same records across different blockchains. The initiative is expected to save the global financial system tens of billions of dollars annually and will next expand to handle more complex corporate actions, broaden jurisdictional coverage, and enhance privacy and governance features.

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Category: Crypto & Blockchain, Innovation Topics

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