JPMorgan Chase is taking another major step in integrating artificial intelligence into its core operations, now testing large language models (LLMs) to help employees draft annual performance reviews. The initiative reflects a growing trend in the financial services sector to leverage AI for productivity, efficiency, and decision-making — while redefining traditional human roles.
Developed in-house to ensure security and data privacy, JPMorgan’s proprietary LLM Suite assists managers by generating review drafts based on user prompts. The feature aims to simplify the feedback process, particularly for leaders managing large teams. Since its introduction in early 2024, the LLM Suite has gained rapid traction, with more than 2,00,000 employees onboarded within eight months.
The bank’s leadership, including CEO Jamie Dimon, has emphasised AI’s strategic importance. Beyond workflow automation, JPMorgan is investing heavily in AI upskilling, ensuring employees at all levels understand how to apply AI in their roles. Its ‘AI Made Easy’ programme has already reached tens of thousands of employees, fostering comfort and capability in using AI responsibly and effectively.
The financial sector at large is witnessing a similar transformation. For instance, Citigroup has provided proprietary AI tools to over 1,80,000 employees across 83 countries, reportedly saving 1,00,000 developer hours weekly through automated code reviews. Meanwhile, Goldman Sachs has launched an internal AI assistant designed to streamline knowledge access and workflow efficiency.
Collectively, these moves signal a defining shift in banking — one where AI becomes a co-pilot in human decision-making, reshaping how work is performed, reviewed and optimised.
