BNY Eliza AI Platform

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In BNY (formerly BNY Mellon), Eliza is the firm’s proprietary, enterprise-wide AI platform. It is named after Elizabeth "Eliza" Hamilton, the wife of Alexander Hamilton (the bank’s founder), symbolizing the union of the bank’s historic roots with modern technology.

Here is a breakdown of what it is, how it’s used, and why/how they built it:

1. What is Eliza?

Eliza is an "AI Operating System" or a centralized marketplace for AI solutions within the bank. Rather than being just one chatbot (like a corporate ChatGPT), it is a platform that allows employees to access various Large Language Models (LLMs) and build their own AI agents to automate complex tasks.

2. What do they do with it?

BNY uses Eliza to transform "bankers into part-time engineers." Its applications are broad:

  • AI Agents: Employees build custom agents that can handle multi-step workflows, such as analyzing thousands of pages of financial reports or synthesizing historical market trends.

  • Operational Efficiency: It is used for anomaly detection in trillions of dollars of daily transactions, catching irregularities that a human might miss.

  • Client Service: Eliza powers predictive analytics to track trade settlements in near real-time, helping the bank intervene before a trade fails.

  • Research & Analysis: With its recent integration of Google’s Gemini, the platform now supports multimodal analysis—meaning it can "read" charts, images, and documents simultaneously to provide deeper market insights.

3. Why did they build it?

  • Governance and Control: As a highly regulated bank, BNY couldn't just let employees use public AI tools. Eliza provides a "walled garden" where data stays secure, and every AI action is logged for auditability.

  • Democratization: They wanted to make AI accessible to everyone, not just data scientists. Currently, over 99% of their 50,000+ employees are trained on the platform.

  • Scalability: By building a central platform, they avoid "siloed" tech where different departments waste money building the same tools.

4. How was it built?

Eliza was developed by BNY’s AI Hub (launched in 2023) using a model-agnostic architecture:

  • Hybrid Infrastructure: It primarily runs on Microsoft Azure but is designed to be flexible.

  • Multi-Model Strategy: It doesn’t rely on just one AI. It leverages OpenAI (GPT-4) for reasoning, Google Cloud (Gemini & Veo) for agentic and multimodal tasks, and internal proprietary data for grounding.

  • XAI (Explainable AI): A core part of the build was ensuring "Explainability." The platform includes dashboards that show why an AI agent made a certain decision, which is critical for financial compliance.

Summary Table

Since you have an interest in Agentic AI and Financial Engineering, Eliza is a textbook example of how "Agentic workflows" (tasks that require planning and multi-step reasoning) are being applied to global finance at scale.

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