JPMorgan Chase has reportedly approved the use of its internal artificial intelligence to help employees draft annual performance reviews, expanding the bank’s enterprise deployment of large language models across its global workforce.

According to Bloomberg, the tool lets staff generate review drafts from prompts they provide, offering a shortcut to a process that can be time-consuming in large organisations. Employees are instructed to use the system as a starting point and retain responsibility for the final text. The bank has told staff the tool should not be used for compensation or promotion decisions, according to people familiar with the rollout.

JPMorgan is yet to comment on the news. However, the bank has previously described broad applications for its AI platforms across business functions. Its LLM Suite, developed in-house to provide secure access to third-party AI systems, has been adopted by around 200,000 users within eight months of its launch last year. The platform is used by software developers to review code, investment bankers to prepare presentations and legal teams to review contracts.

Chief executive officer Jamie Dimon recently told Bloomberg TV: “It affects everything — risk, fraud, marketing, idea generation, customer service. And it’s the tip of the iceberg.” He has said AI is “going to change every job”, eliminating some roles and creating others.

The bank plans to invest $18 billion in technology in 2025 and spends about $2 billion a year on AI. Among banks, JPMorgan is one of the most aggressive adopters of machine learning and generative AI, positioning its tools as secure and compliant in a regulated environment.

Industry research points to potential productivity gains. Boston Consulting Group recently reported that AI-assisted drafting of performance reviews can reduce writing time by up to 40 per cent, allowing managers to focus on coaching and qualitative feedback.

The move illustrates the growing use of generative AI for synthesising information and shaping first drafts across corporate workflows, even as organisations set boundaries for sensitive decisions. It also reflects competitive pressure in financial services, where firms including Goldman Sachs and HSBC are exploring ways to integrate large language models into operations.

Start-ups are pushing sector-specific assistants as well. Mosaic and Rogo are developing tools tailored to financial services tasks, with Rogo described as a chatbot that replicates work done by an investment banker.

JPMorgan, the largest US bank by assets, has more than 300,000 employees worldwide. Its guidance makes clear that human authorship remains accountable for performance evaluations, while AI serves as a drafting aid.

---