You’re reading AI at the Top - Our new series on Sundays, where we share how leading companies and their executives use AI in business.
JPMorgan Chase & Co. (JPMC) is the world’s largest bank by market value.
It serves millions of individuals, businesses, and governments in over 100 markets with 300k+ employees and $3.9 trillion in assets.
With this scale and the financial data sensitivity, any leader would understand if banks play it safe with their AI adoption, but not JPMC.
The bank moved fast and pioneered AI use cases in banking and finance.
In today’s AI at the Top, we will learn what tools JPMC uses internally to improve efficiency and the reason why it is winning the AI game.
JPMorgan Chase & Co. uses these tools daily
JPMC has built multiple internal tools for 450+ use cases.
We have curated top tools based on the impact they had on JPMC’s business.
LLM Suite: General-purpose interactive platform for tasks like report summaries, document refining, etc. 200,000+ employees use the LLM Suite to save time and focus on strategy work.
EEVE Intelligent Q&A: Call centre employees answer millions of calls a year on customer service, fraud and claims, wealth management, home lending, etc.
They spend hours cross-checking JPMC documentation and policies, but EEVE ensures all this time is saved with a simple Q&A.
JPMC’s Head of AI/ML, Katie Hainsey’s words on what EEVE solves for 80,000+ call centre employees:
Coding Assistant: JPMC developed an internal coding assistant, resulting in a 20% productivity increase from its engineering teams. 60,000+ devs use this tool.
ChatCFO: Assistant for finance teams. The AI can handle complex finance questions and respond in great detail. This shifts focus from routine analyses and enquiries to more decision-making tasks.
The bank has also built a tool on Michael Cembalest’s expertise. JPMC deployed a tool to respond as Michael Cembalest, its Chairman of market and investment strategy. This allows instant access to the strategic thinking of the executives without actually waiting for an appointment.
Contract Intelligence (COiN): Made to support legal teams with reviews and risk assessments so they can focus on advisory.
The tool can process 12000 commercial credit agreements in seconds and saves 360,000 manual work hours annually.
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That’s not all. JPMC has more tools for specific use cases.
JPMorgan Chase & Co. is winning with AI because it spends on tech and invests in its employees
JPMC Invested in employee training from Day 1. Between 2019-2023, JPMC’s employees trained 500% more than usual training hours, making them super efficient with the latest technologies.
Today, this leads the company to pause hiring for tasks they can automate.
JPMC’s CFO Jeremy Barnum mentioned,
With $18 billion budget on tech in 2025, JPMC focuses on being more accurate and resourceful with AI.
What next for JPMorgan Chase & Co.?
The bank is working on 450 potential AI use cases and aims to hit 1000 in 2026.
The bank will continue to stay bullish on its technology investments, while training its employees to become absolute beasts with AI’s superpower.
🌟 Want to be featured in the next issue? Reach out with your best AI use case and we’ll spotlight it.
Articles by the Economic Times, Forbes, Storyboard, and NYPost.
JPMorgan’s Quarterly Earnings and CEO Jamie Dimon’s LinkedIn
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