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JPMorgan Chase & Co. (JPMC) is the world’s largest bank by market value.
It serves millions of individuals, businesses, and governments across more than 100 markets, with over 300,000 employees and $3.9 trillion in assets.
With this scale and the sensitivity of financial data, any leader would expect banks to play it safe with AI adoption — but not JPMC.
The bank moved quickly and pioneered AI use cases in banking and finance.
Today, we’ll explore the tools JPMC uses internally to boost efficiency and the reasons it is winning the AI game.
JPMC has developed multiple internal tools covering 450+ AI use cases.
We’ve curated the most impactful ones shaping the bank’s business:
LLM Suite – A general-purpose interactive platform for tasks like report summaries and document refining. Over 200,000 employees use it to save time and focus on strategy.
EEVE Intelligent Q&A – Built for call center employees handling millions of customer queries on fraud, claims, wealth management, and more. Instead of spending hours cross-checking policies and documentation, employees now get instant answers. JPMC’s Head of AI/ML, Katie Hainsey, highlighted that EEVE saves huge amounts of time for the bank’s 80,000+ call center staff.
Coding Assistant – An internal AI tool for engineering teams, boosting productivity by 20%. More than 60,000 developers now rely on it.
ChatCFO – An assistant for finance teams, capable of handling complex finance questions in detail. It reduces time spent on routine analyses and lets employees focus on decision-making.
Michael Cembalest AI Tool – An AI designed to replicate the insights of JPMC’s Chairman of Market and Investment Strategy, giving staff instant access to executive-level thinking without scheduling time.
Contract Intelligence (COiN) – Supports legal teams with reviews and risk assessments. It can process 12,000 commercial credit agreements in seconds, saving 360,000 manual work hours every year.
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That’s not all. JPMC has even more tools built for highly specific use cases.
JPMC has been committed to employee training from the very beginning. Between 2019 and 2023, its workforce completed 500% more training hours than usual, ensuring employees became highly proficient with the latest technologies.
This forward-looking investment has paid off—today, the company has been able to pause hiring for roles that can be automated.
As JPMC’s CFO Jeremy Barnum highlighted,
with a $18 billion tech budget in 2025, the bank is doubling down on becoming more accurate, efficient, and resourceful with AI.
What next for JPMorgan Chase & Co.?
JPMC is currently exploring 450 potential AI use cases and has set its sights on reaching 1,000 by 2026.
The bank remains bullish on technology investments, while continuing to train its employees to become absolute powerhouses equipped with AI’s superpowers.
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