It looks like JP Morgan & Chase is a big fan of artificial intelligence (AI). LLM Suite is a portal created by the bank to harness large language models from the world’s leading AI startups. It currently uses models from OpenAI and Anthropic.
An LLM, or Large Language Model, is an advanced type of artificial intelligence designed to understand and generate human-like text. These models are trained on vast amounts of written data from books, articles, websites, and more, enabling them to learn patterns, grammar, facts, and context. Using this knowledge, LLMs can perform a wide range of language tasks such as answering questions, writing essays, translating languages, summarizing texts, and even engaging in conversations.
Popular examples include OpenAI’s GPT series, with GPT-4 and GPT-5 being some of the latest versions as of 2025. LLMs use complex algorithms called neural networks to predict the next word in a sentence, which helps them generate coherent and relevant responses. They have become powerful tools across industries, supporting customer service, content creation, education, and programming. However, challenges like biases in training data, misinformation risks, and ethical concerns about their use remain important topics as these models evolve.
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Every eight weeks, LLM Suite is updated as the bank feeds it more from the vast databases and software applications of its major businesses, giving the platform more abilities, Derek Waldron, JPMorgan chief analytics officer, told CNBC in an exclusive interview.
“The broad vision that we’re working towards is one where the JPMorgan Chase of the future is going to be a fully AI-connected enterprise,” Waldron said.
JPMorgan, the world’s largest bank by market capitalization, is being “fundamentally rewired” for the coming AI era, according to Waldron. The bank, a heavyweight across Main Street and Wall Street finance, wants to provide every employee with AI agents, automate every behind-the-scenes process and have every client experience curated with AI concierges.
Waldron, who gave CNBC the first demonstration of its AI platform seen by any outsider, showed the program creating an investment banking deck in about 30 seconds, work that would’ve previously taken a team of junior bankers hours to complete.
According to an internal roadmap provided by the bank, JPMorgan is now early in the next phase of its AI blueprint: It has begun deploying agentic AI to handle complex multistep tasks for employees.
“As those agents become increasingly powerful in terms of their AI capabilities and increasingly connected into JPMorgan,” Waldron said, “they can take on more and more responsibilities.”
By entrusting autonomous agents with complex, multi-step tasks, the bank is aiming not just to automate routine work, but to augment decision making and bolster productivity at scale. These agents, deeply integrated into internal systems, can free employees from repetitive burdens and allow them to focus on higher value initiatives. However, this shift also brings challenges: ensuring reliability, security, and transparency will be paramount as these agents make more consequential decisions.
JPMorgan will need robust governance frameworks, continuous monitoring, and ethical guardrails to manage risk and compliance. If successful, this move could set a new standard for AI deployment in regulated industries, help JPMorgan unlock value, and catalyze broader adoption of agentic systems across sectors.
As AI becomes more embedded in decision-making processes, maintaining public confidence will be crucial for sustained success. JPMorgan’s commitment to responsible AI could not only protect its reputation but also influence broader adoption across the financial sector, setting a benchmark for balancing cutting-edge technology with accountability and ethical responsibility.