Artificial Intelligence in Finance Companies
We analyzed the enterprise AI use cases of 10 finance companies to understand trends, impact, and insights.
Finance companies' adoption of AI
Overview
Bank of America (BofA) has significantly advanced its AI integration from early-stage exploration in 2021 to widespread adoption by 2025, with over 90% of its 213,000 employees using AI tools like the Erica virtual assistant, resulting in substantial operational efficiencies and enhanced client engagement.
Wells Fargo has steadily increased and deepened its AI adoption from 2021 to early 2026, evolving from explainable AI for lending risk models to a broad AI-first strategy deploying agentic AI agents across its 215,000 employees and customer-facing virtual assistants.
Citigroup has rapidly embraced AI from 2023 through early 2026, evolving from exploratory articles to firm-wide adoption and innovation in agentic AI and generative AI, engaging 150,000+ employees globally with tools like Citi Stylus and Citi AI.
Goldman Sachs has steadily accelerated its AI adoption since 2020, moving from initial AI experimentation in wealth management and cybersecurity to firmwide deployment of generative AI tools by mid-2025, including a generative AI assistant used by approximately 10,000 employees and autonomous AI coders augmenting over 12,000 developers.
Morgan Stanley has progressively expanded its AI adoption from initial advisory support tools in 2023 to robust in-house generative AI applications by late 2024, leveraging OpenAI's GPT-4 technology to enhance financial advisor productivity, client engagement, and operational efficiency. Key products include the AI @ Morgan Stanley Assistant and Debrief, driving significant net new assets growth, with $64 billion reported in Q3 2024.
U.S. Bancorp has steadily increased its adoption and integration of AI technologies from 2019 through early 2026, evolving from personalized mobile banking enhancements to complex AI-driven solutions such as agentic AI and generative AI for campaigns and client tools.
PNC Financial Services Group has steadily increased adoption of AI technologies since early 2023, launching solutions like PNC Claim Predictor to reduce lost healthcare revenue and improve operational efficiency, with ongoing innovation in fraud detection, automation, and personalized financial services.
Capital One has evolved from early AI adoption with the virtual assistant Eno in 2021 to becoming an AI-first financial services firm by late 2022, driven notably by Prem Natarajan, Chief Scientist and Head of Enterprise AI.
American Express (Amex) has steadily increased AI adoption from 2021 to 2026, evolving from machine learning for credit checks and fraud detection to widespread generative AI integration across customer support, travel management, and marketing. By 2025, Amex operates 70+ AI use cases including large language models (LLMs) and agentic AI tools improving efficiency and customer experience.
JPMorgan Chase has rapidly advanced its AI adoption since mid-2024, leveraging generative AI, large language models (LLMs) including OpenAI and Anthropic, and machine learning to empower over 250,000 employees by Q3 2025, with daily active users reaching about half of that population.
55 Use Cases in Finance
| Company | Use Case |
|---|---|
| Goldman Sachs | Process Automation Testing of autonomous AI agents to handle process-heavy work such as accounting and compliance operations, aiming to automate repetitive tasks, reduce costs, and improve operational efficiency. agentic |
| U.S. Bancorp | Developer Assistant Introduction of a generative AI assistant that helps embedded banking clients and partners discover, find, and integrate U.S. Bank’s APIs efficiently into their software applications and websites. generative |
| Capital One | AI Governance Capital One establishes AI governance frameworks guided by specialized counsel to ensure compliance, ethical AI use, and operational risk management. traditional |
| J. P. Morgan | Client Support Development of client-facing generative AI virtual assistants improves response times and service quality for payments and other client inquiries, enhancing customer experience. generative |
| U.S. Bancorp | Cash Forecasting Coupling U.S. Bank's treasury management platform with Kyriba's AI-powered liquidity tools enables business clients to gain real-time visibility and control over cash and liquidity needs. traditional |
| PNC Financial | Virtual Cards By integrating AI technologies, PNC offers dynamically generated virtual payment cards that enhance security and meet the on-demand needs of resource-constrained companies. agentic |
| Citigroup | Performance Reviews AI assists managers with drafting and streamlining employee performance reviews, cutting down time spent on manual evaluations and increasing HR efficiency. generative |
| Citigroup | Workforce Reskilling Citi initiated a comprehensive AI training program to teach its 175,000 employees effective AI prompt writing and usage to maximize benefits from AI tools deployed across the firm. generative |
| Citigroup | Research Automation Agentic AI pilots enable employees to autonomously complete complex multi-step tasks such as research and client profiling by chaining workflows across systems. agentic |
| J. P. Morgan | Operational Automation JPMorgan employs agentic AI and generative AI to automate complex multi-step tasks such as creating investment decks, legal document analysis, and call center automation, leading to substantial cuts in operational costs and headcount reductions. agentic |