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 strongly scaled its AI adoption from early cautious innovations in 2021 to broad workforce integration by 2025, with over 90% of its 213,000 employees using AI tools like the virtual assistant Erica and newly launched AskGlobal Payments Solutions (AskGPS).
Wells Fargo has steadily advanced its AI adoption from early explorations of explainable AI in 2021 to widespread deployment of AI agents and generative AI by 2025, under the leadership of key executives like Saul Van Beurden.
Citigroup has rapidly expanded AI integration from foundational awareness in 2023 into broad scale enterprise adoption by 2025, spearheaded by key executives such as CEO Jane Fraser and AI leaders driving initiatives like Citi Stylus and Citi AI platforms.
Goldman Sachs has evolved from exploratory AI initiatives in 2020 into comprehensive adoption by 2025, including launching a firmwide generative AI assistant (the GS AI Assistant) used by around 10,000 employees and deploying an autonomous AI software engineer named Devin to augment 12,000 developers, significantly boosting productivity.
Morgan Stanley has steadily increased the adoption and deployment of AI technologies from 2023 through early 2026, beginning with AI-powered tools to assist financial advisors, moving to generative AI applications widely used across trading, investment banking, and client engagement platforms.
U.S. Bancorp has progressively integrated AI technologies since 2019, shifting from personalized mobile banking enhancements (notably led by Katherine Knowles-Marchione) to advanced AI use cases including fraud detection, agentic AI scouting, and generative AI-driven marketing campaigns by 2026.
PNC Financial Services has steadily increased its AI adoption since early 2023, launching the AI/ML-powered PNC Claim Predictor to help healthcare clients prevent lost revenue, and progressively expanding AI applications into customer service, fraud detection, automation, and financial advice by 2025.
Capital One has steadily advanced its AI integration from 2021 through early 2026, evolving from deploying AI-powered virtual assistants like Eno to pioneering generative and multi-agent AI workflows with hundreds of internal use cases, under leadership including Chief Scientist Prem Natarajan and AI product lead Aparna Sinha.
American Express (Amex) has progressively integrated AI across its services from 2021, evolving from machine learning credit risk assessments to advanced generative AI experiments by 2024-2025, including LLM-powered chatbots and agentic AI tools such as Travel Counselor Assist, boosting operational efficiency and customer experience.
JPMorgan Chase has aggressively integrated AI, deploying over 200,000 employees with its proprietary LLM Suite by early 2025, enabling efficiency and productivity gains across client advisory, legal, fraud detection, and call center functions. The bank is evolving towards a fully AI-connected enterprise with $18B annual tech investment and plans to expand AI use cases from 450 to 1,000 by 2026.
54 Use Cases in Finance
| Company | Use Case |
|---|---|
| U.S. Bancorp | Developer Support A generative AI assistant helps corporate clients and partners find and integrate the bank's APIs into their programs and websites, facilitating embedded banking solutions. generative |
| J. P. Morgan | Call Center Automation AI-powered virtual assistants handle client requests and inquiries, improving customer experience and operational efficiencies within call center operations. generative |
| U.S. Bancorp | Cash Forecasting An AI-enabled cash forecasting tool helps business clients gain real-time visibility and control over cash and liquidity, improving treasury management. traditional |
| Capital One | AI Governance Capital One has established roles and frameworks to govern AI, machine learning, and generative AI products ensuring ethical, compliant, and risk-mitigated AI deployments. traditional |
| Citigroup | Developer Productivity Citigroup uses AI coding assistance tools that reduce developer workload by freeing up over 100,000 hours weekly, accelerating software development and improving internal operational efficiency. generative |
| Citigroup | Employee Enablement Citi conducts AI prompt engineering training for its entire 175,000 employee base to enhance company-wide AI literacy and maximize effective use of AI tools across functions. generative |
| Citigroup | Autonomous Tasking Citigroup pilots proprietary agentic AI platforms that autonomously complete complex multi-step tasks across internal systems to improve productivity in research, client profiling, and other operational areas. agentic |
| J. P. Morgan | Process Automation JPMorgan aims to deploy agentic AI platforms to automate complex workflows, reducing junior banker headcount and operational costs while enhancing productivity and client experience. agentic |
| PNC Financial | Fraud Detection PNC applies AI to detect and prevent fraudulent activities in banking transactions, enhancing security measures and reducing financial risks for both the bank and its customers. traditional |
| Wells Fargo | Operational Efficiency Wells Fargo deploys AI agents powered by Google Cloud's Agentspace to augment bankers and traders, automating routine tasks and enabling better client relationship management. agentic |