New York Stock Exchange deploys Anthropic Claude for software engineering and SEC filing review

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New York Stock Exchange deploys Anthropic Claude for software engineering and SEC filing review

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The highly regulated New York Stock Exchange, founded in 1817, is moving quickly with agentic AI projects, using Anthropic's Claude generative and agentic AI extensively throughout the organization. "Eighteen months ago, it was more of a chat interface, and people were used to using it for code completion," said Sridhar Masam, chief technology officer at the exchange, during a virtual event Anthropic hosted. "Now with its agent ticket reasoning capabilities, it's more independent. It's more of a collaborator than an assistant. That was a big fundamental shift in how people use AI." The deployment is built on Anthropic agents based on Claude 3.7 Sonnet and the Claude Agent SDK, using "chain-of-thought" reasoning to process complex, multistep tasks like customer service, IT support, or software bug resolution. "We see AI as a tremendous accelerator in 2026 as adoption internally grows and as we move on from experimentation to production to scale," Masam said. The NYSE's work with Anthropic mirrors AI projects large financial institutions like JPMorganChase and Goldman have been undergoing. "These players are moving from AI as a point solution in a single step in a workflow to embedding AI into core applications, such as digital banking platforms, payments processing systems, credit underwriting engines and fraud detection platforms," said Alenka Grealish, lead analyst for emerging tech intelligence at Celent. The NYSE has been reengineering its development process and using Claude in coding, writing tests, and documenting new code. Where software development used to be a matter of "buy what you can, build what you must," Masam said, now it's becoming a matter of combining multiple models, multiple vendors, platforms, data, and internal capability. "Assembly is becoming a key aspect where you need to assemble all these things to have a solution." His team also used Claude code to build a reference implementation for the blockchain-based settlement ledger the NYSE is developing for trading tokenized equities, which will allow instant settlement of trades of U.S. listed equities and ETFs around the clock. Claude models are effective in processing large documents and applying rules. The NYSE has used the technology to build agents that review proxy filings, audit SEC filings, and generate news classifications. Operationally, the NYSE processes more than a trillion messages on a peak trading day — even at that scale, system resilience and determinism are paramount. Masam noted that using AI to develop software brings more accountability: "Traditionally, we are so used to building deterministic platforms. You write code requirements and build. Now, with AI being probabilistic, the accountability doesn't end when the project goes live, but on a daily basis, you have to monitor behavior and outcomes." The exchange is also addressing governance: continuous monitoring, human-in-the-loop oversight, and treating AI agents as one component in a larger system rather than a single software piece.