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 has significantly accelerated AI adoption and innovation, with a 94% growth in AI-related patents by Q4 2024 and expanding to over 1,400 AI patents by Q3 2025, underlining a strategic focus on AI intellectual property and technology leadership.
Wells Fargo has progressively embedded AI across its banking operations since 2021, evolving from explainable AI for risk modeling to a comprehensive AI-first strategy including agentic AI assistants handling over 245 million customer interactions by mid-2025.
Citigroup has steadily accelerated its AI adoption and innovation since early 2023, moving from recognizing AI's transformative potential to deploying extensive AI tools across its workforce of approximately 175,000 employees by 2025. Leadership under CEO Jane Fraser emphasizes AI's role in improving operational efficiency, customer experience, and risk management through partnerships, internal tool development, and strategic investments totaling over $14 billion in tech transformation.
Goldman Sachs has progressively transitioned from AI experimentation (early 2020s) to firmwide deployment of generative AI tools by mid-2025, including a GS AI Assistant used by around 10,000 employees and pioneering agentic AI such as the autonomous AI software engineer 'Devin' piloted in 2025.
Morgan Stanley has progressively expanded its AI initiatives from Q3 2023 through Q3 2025, deploying multiple generative AI tools (notably in partnership with OpenAI's GPT-4 technology) to enhance advisory services, client engagement, and internal research efficiency.
U.S. Bancorp has steadily increased adoption of AI technologies from 2019 through 2025, evolving from personalized digital banking apps to advanced analytics, generative AI marketing campaigns, and agentic AI innovation scouting.
PNC Financial Services Group has demonstrated a consistent and mature adoption of AI technologies from early 2023 through 2025, with key initiatives like the PNC Claim Predictor improving healthcare revenue cycle management and expanding to broader banking operational efficiencies.
Capital One has evolved from pioneering AI-powered virtual assistants like Eno in early 2021 to embedding agentic and generative AI across its financial services by 2025, driven prominently by AI leadership such as Prem Natarajan and Aparna Sinha.
American Express has steadily integrated AI from 2021 through 2025, progressing from machine learning for fraud detection and credit checks to sophisticated generative AI and large language models (LLMs) embedded within customer service and operational efficiency solutions.
JPMorgan Chase has rapidly scaled AI adoption from exploratory usage in mid-2024 to becoming a fully AI-integrated bank by late 2025, with over 200,000 employees using proprietary AI platforms like the LLM Suite and deploying hundreds of AI-powered tools across core banking functions.
54 Use Cases in Finance
| Company | Use Case |
|---|---|
| Citigroup | Developer Productivity AI technologies automate coding tasks and provide developers with tools that save time and increase productivity by freeing up to 100,000 hours weekly. agentic |
| Citigroup | Employee Training Citi implements large-scale AI prompt engineering training programs to upskill its entire workforce, enhancing AI tool adoption and effectiveness across functions. traditional |
| Morgan Stanley | Research Efficiency AI-powered platforms allow Morgan Stanley advisors and analysts to rapidly search and summarize documents (improving information retrieval from 20% to 80%) and generate insights from large data corpora, enabling faster, more accurate financial research and recommendations. agentic |
| Wells Fargo | AI Agents Deployment of AI agents via Google Agentspace empowers employees across Wells Fargo to automate routine tasks, enhance client relationship management, and improve operational efficiencies. agentic |
| Bank of America | AI Training The bank employs AI-powered internal simulation coaching platforms that have completed over 1 million employee training sessions, enhancing workforce skills, reducing risk, and increasing employee productivity. traditional |
| PNC Financial | Operational Automation PNC uses AI-driven automation to streamline banking operations, automate routine tasks, and optimize workflows, thereby reducing costs and improving operational efficiency. traditional |
| PNC Financial | Personalized Advice AI models analyze customer spending patterns and financial data to provide tailored financial advice and actionable insights via dynamic dashboards, improving customer experience and engagement. traditional |
| PNC Financial | Fraud Detection The bank applies AI algorithms to detect fraudulent activities across its financial services in real time, enhancing security and minimizing financial risks and losses. traditional |
| Goldman Sachs | Code Generation Goldman Sachs employs AI tools to automate and accelerate software development, deploying generative AI assistants like the GS AI Assistant to thousands of developers and piloting an autonomous AI software engineer named Devin to handle complex coding tasks and reduce manual developer workload. agentic |
| Goldman Sachs | Productivity Assistance The GS AI Assistant generative AI tool helps employees automate routine tasks such as summarizing documents, drafting content, and data analysis, increasing productivity across bankers, traders, and asset managers and reducing helpdesk tickets by 18%. generative |