BNY and Google are teaming up to supercharge the bank's AI ambitions with Gemini 3

"The race on Wall Street to deploy AI agents capable of handling end-to-end tasks is intensifying. On Monday, BNY said it will embed Google Cloud's agentic AI technology - including Google's latest model, Gemini 3 - into the bank's internal AI platform Eliza, named after the wife of bank founder Alexander Hamilton. The upgrade of its technology stack is the latest step the bank - one of New York's oldest operating businesses - is taking to advance its AI ambitions."

"By integrating Google Cloud's tech into Eliza - which already draws on multiple large language models - the firm is betting employees will be able to move faster through daily tasks, Sarthak Pattanaik, the bank's chief data and AI officer, told Business Insider. Take the tedious manual work of client onboarding: staff juggle document collection, verify ID and tax forms, locate key details, look up risk information, and log everything into internal systems. He said agentic AI could help orchestrate those steps, break tasks into smaller components, and deliver the required information in a more streamlined flow."

"Gemini 3, which debuted in mid-November, can interpret text, images, tables, PDFs, and audio together, allowing employees to load mixed financial materials and have the model interpret and synthesize what matters."

"Eliza, through the agent tech workflow, is able to make the process much more simpler, efficient, and orchestrated, much more seamlessly,"

BNY will embed Google Cloud's agentic AI technology, including Gemini 3, into its internal AI platform Eliza. Eliza is named after the wife of bank founder Alexander Hamilton. Agentic AI is designed to orchestrate multi-step financial workflows by breaking tasks into smaller components and delivering required information more seamlessly. Typical workflows include document collection, ID and tax verification, locating key details, risk lookups, and logging into internal systems. Gemini 3 can interpret text, images, tables, PDFs, and audio together, enabling employees to load mixed materials and synthesize salient information. Eliza already draws on multiple large language models and supports more than 120 automated tasks.

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