Chainlink AI Tool Streamlines Global Corporate Actions Processing – Coin Push Crypto Alerts

Chainlink has successfully completed Phase 2 of a groundbreaking initiative that leverages artificial intelligence and blockchain technology to revolutionize how the global financial industry processes corporate actions. The collaboration with 24 major financial institutions has demonstrated the potential to significantly reduce the estimated $58 billion annual cost burden that currently plagues the sector.

Corporate actions such as dividends, stock splits, and mergers represent one of the most inefficient and costly processes in traditional finance. According to Citi’s 2025 Asset Servicing report, the average corporate action event touches more than 110,000 firm interactions and costs $34 million to process, with 75% of market participants still relying on manual data revalidation that increases costs by 10% year over year.

The pilot project, which included prominent institutions like SWIFT, DTCC, Euroclear, BNP Paribas Securities Services, UBS, and Schroders, successfully demonstrated how large language models can extract structured data from unstructured corporate action announcements. The system achieved nearly 100% data consensus agreement among AI models across all evaluated corporate actions, marking a significant breakthrough in financial data processing automation.

Chainlink’s AI-Powered Solution

The innovative solution combines multiple cutting-edge technologies to address the longstanding corporate actions data problem. Large language models from OpenAI’s GPT series, Google’s Gemini series, and Anthropic’s Claude series work in tandem to process unstructured corporate action announcements, which are typically inconsistent PDFs containing a mix of text and tables across different languages and formats.

Chainlink’s Runtime Environment (CRE) orchestrates the validation of multiple AI model outputs and transforms confirmed results into ISO 20022-compliant messages. This standardized format ensures compatibility across different financial systems while maintaining the integrity and accuracy of the extracted data through cryptographic attestation.

The system creates what the industry calls “unified golden records” – a single, verifiable source of truth that all market participants can access, verify, and build upon. These records are simultaneously distributed to blockchain networks and legacy systems like the interbank messaging system SWIFT, significantly reducing manual work and minimizing the risk of errors that have historically plagued corporate actions processing.

Key technical capabilities demonstrated include:

• Multilingual processing across Spanish, Chinese, and other non-English languages
• Real-time data validation and consensus mechanisms
• Cross-chain distribution via Chainlink’s CCIP protocol
• Integration with both public and private blockchain environments
• Cryptographic attestation for data accuracy verification

Major Financial Institutions Partnership

The scope and scale of this initiative reflect the industry’s urgent need for modernization in corporate actions processing. The 24participating institutions represent a cross-section of the global financial ecosystem, including ten financial market infrastructures alongside major banks and asset managers from different jurisdictions.

DTCC, one of the world’s largest post-trade market infrastructures, has integrated the solution into its blockchain ecosystem, enabling simultaneous access across traditional infrastructure and blockchain-based platforms. This integration is particularly significant as DTCC processes trillions of dollars in securities transactions annually and serves as a critical piece of global financial market infrastructure.

Swift’s participation adds another layer of credibility and reach to the initiative. As the primary messaging network for international financial transactions, Swift’s involvement ensures that the AI-validated corporate actions data can be seamlessly transmitted through existing financial communication channels while simultaneously being distributed across various blockchain networks.

Euroclear, Europe’s largest settlement system, has also played a crucial role in validating the solution’s effectiveness across different regulatory environments and jurisdictions. The collaboration has demonstrated that the system can handle the complex requirements of cross-border corporate actions processing while maintaining compliance with various regional regulations.

Market Impact and Future Outlook

The successful implementation of this AI-powered solution represents a paradigm shift in how financial institutions approach data processing and validation. By standardizing how corporate actions data is extracted, validated, and delivered, the collaboration creates a shared foundation for asset servicing across both blockchain networks and traditional financial infrastructure.

The technology has particular implications for the growing tokenized securities market. As financial institutions increasingly explore tokenized equities and other digital assets, having a unified, real-time source of truth for corporate actions becomes essential for proper synchronization and automation across on-chain markets.

Future development efforts will focus on extending the workflow to support more complex corporate actions beyond basic dividends and stock splits. The roadmap includes expanding global coverage through support for additional jurisdictions and currencies, while introducing stronger privacy and governance controls to meet the operational and compliance needs of global financial institutions.

Sergey Nazarov, Co-Founder of Chainlink, emphasized the significance of this breakthrough: “Being able to solve the data validation problem of corporate actions using AI Oracle Networks from Chainlink is a big leap forward in what AI Oracle Networks are capable of, showing that multiple AIs can come to consensus on critical information inside of a Decentralized Oracle Network.”

Install Coin Push mobile app to get profitable crypto alerts. Coin Push sends timely notifications – so you don’t miss any major market movements.

The successful completion of Phase 2 positions Chainlink’s technology as a critical infrastructure component for the future of financial markets, potentially saving the industry billions of dollars annually while improving accuracy and reducing processing times. As more institutions recognize the value proposition of this AI-powered approach, widespread adoption could fundamentally transform how corporate actions are processed globally, bridging the gap between traditional finance and the emerging blockchain-based financial ecosystem.

Corporate Actions

Events initiated by publicly traded companies that affect shareholders, such as dividend payments, stock splits, mergers, or spin-offs. These actions require extensive data processing and communication across multiple financial institutions and market participants.

Golden Records

A single, authoritative version of data that serves as the definitive source of truth for all systems and stakeholders. In this context, it refers to verified corporate actions data that all market participants can access and trust.

Large Language Models (LLMs)

Advanced AI systems trained on vast amounts of text data that can understand, process, and generate human-like text. They are capable of extracting structured information from unstructured documents and communications.

ISO 20022

An international standard for financial messaging that provides a common platform for developing message formats. It enables different financial systems to communicate with each other using standardized data structures and protocols.

Cross-Chain Interoperability Protocol (CCIP)

Chainlink’s technology that enables secure communication and data transfer between different blockchain networks. It allows applications on one blockchain to interact with applications and data on other blockchains.

Oracle Networks

Decentralized systems that provide external data to blockchain applications and smart contracts. They serve as bridges between blockchain networks and real-world information sources, ensuring data accuracy through consensus mechanisms.