GenAI Propels Growth and Profitability for Financial Institutions

by Brian Funicelli 3 min read May 21, 2025

Generative AI (GenAI) is transforming the financial services industry by boosting operational efficiency, cutting costs, and enhancing customer experience. Today, industry leaders are leveraging GenAI technology to accelerate the modeling lifecycle, streamline workflows, and ensure regulatory compliance.

However, financial institutions face several headwinds in their efforts to achieve strong business results.

What industry challenges do financial institutions face?

To drive profitability while fueling growth, organizations need to reduce costs, manage risks, and identify new revenue streams while complying with regulatory requirements. Growing customer bases are also a top priority for banking leaders in 2025, requiring personalized services and improved customer experiences to attract and retain customers.1

Staying one step ahead of the competition is another hurdle that many organizations need to overcome. A recent study states that 23% of U.S. consumers surveyed have opened a new bank account, and 28% have considered switching to a new bank in the past six months.2 Traditional financial institutions must continuously innovate to stay on pace with smaller, more agile fintech companies. Adopting technologies like GenAI is an effective way to stay relevant and top-of-mind with consumers.

Why use GenAI technology in financial services?

Financial organizations that use GenAI are achieving success by:

  • Increasing productivity and efficiency
  • Minimizing costs
  • Strengthening customer relationships

GenAI has revolutionized productivity, customer service, risk management, and financial data analysis within the financial services industry. Of all the various measurements of AI use, improved productivity was reported to be the leading indicator of successful implementation.3

Online tools like virtual assistants and chatbots provide personalized experiences to consumers and resolve issues in real time, leading to enhanced customer satisfaction. This AI technology reduces the workload on human agents and enables organizations to deliver value more quickly and with less friction.

GenAI adoption at Experian

Experian® is a leader in GenAI solutions, using advanced technology to manage and improve data. We champion responsible AI use, ensuring proper consumer data privacy, compliance, fraud prevention, and greater financial access and inclusion.

Experian Assistant is our latest innovation in GenAI helping financial institutions to accelerate the modeling lifecycle, which enhances efficiency, reduces expenses, and promotes customer growth.

Experian Assistant allows businesses to build and deploy models, monitor performance, and go to market more quickly and with less friction, which can translate to more business success. The tool provides instant expert recommendations and insights with comprehensive support, enabling users to make smarter and faster data-driven decisions.

This technology offers multiple functions that are crucial for optimizing business efficiency:

  • Natural language interface
  • Deep insights into underlining data tables and metrics
  • Reduced operational and cloud expenses
  • Decreased risk of penalties

Read our latest white paper to discover more about how our latest GenAI innovation, Experian Assistant, is empowering organizations to drive business growth and profitability.

1 BAI, 2025. Acquiring new customers and growing quality deposits are the top business challenges in 2025.

2 MX, 2023. What Influences Where Consumers Choose to Bank.

3 Forrester, Q2 AI Pulse Survey, 2024.

Related Posts

Cash Flow Insights: Powering the Next Evolution in Lending

For decades, credit data has given lenders a trusted foundation for assessing risk. Now, consumer-permissioned cash flow data is adding another layer of insight into consumers’ financial lives, including income, spending, liquidity and changing financial obligations. The opportunity is significant. Nearly one in five consumers lacks access to or has damaged credit. New Experian research also shows that 60% of consumers who have previously been denied credit or received less favorable terms than expected believe the outcome would have been different if lenders had considered their recent income and banking activity alongside their credit history. 1,2 For lenders, cash flow insights can provide additional context about a consumer’s financial capacity and support more informed underwriting decisions. The next challenge is making those insights easier to use consistently and responsibly at scale. What are cash flow insights? Cash flow insights are derived from consumer-permissioned banking data and provide visibility into how money moves into and out of a consumer’s accounts. Depending on the information available, cash flow data can provide insight into financial behaviors such as: Income and income stability: Regular and irregular income streams and changes over time Spending and recurring expenses: Everyday spending patterns and ongoing financial obligations Account balances and liquidity: Available funds and changes in account balances Debt obligations: Loan payments and other recurring debt commitments Cash flow patterns: How money moves into and out of accounts over time Traditional credit information provides a rich history of how consumers have managed credit. Cash flow insights add context about their current financial activity and capacity, providing lenders with a more complete view of financial health. Cash flow insights can also add predictive value to risk assessment. Experian analysis shows Cashflow Score can deliver up to a 25% lift in predictive performance over conventional credit scores when tailored to targeted risk tiers.3 How lenders can put cash flow insights to work at scale As interest in cash flow insights grows, the conversation is moving beyond what the data can reveal to how financial institutions can use it consistently and responsibly. That requires standardized consumer reporting, clear governance and decision-ready insights that can work within established lending processes. The launch of Experian Cashflow Data Bureau at Vision 2026 reflects this shift from access to adoption. The new consumer reporting agency operates under the Fair Credit Reporting Act (FCRA) and is designed to help financial institutions adopt consumer-permissioned cash flow insights at scale. A key part of that foundation is the cash flow consumer report, which organizes consumer-permissioned banking information into a standardized consumer report regulated under the FCRA. This gives lenders a consistent foundation for incorporating cash flow information into lending decisions while providing consumers with access to the information in their report. Turning greater visibility into better decisions The next evolution in credit isn’t about choosing between traditional credit and cash flow data. Each provides a different perspective. Traditional credit information offers deep insight into how consumers have managed credit over time. Cash flow insights can add context about financial activity and capacity. Bringing those perspectives together can give lenders greater visibility into consumers’ financial health and help them better distinguish between risk and resilience, support more informed decisions and identify opportunities to responsibly expand access to credit. As cash flow adoption continues to grow, its value will come from how effectively it complements the information lenders already use. The opportunity isn't simply to see more data. It's to turn that additional visibility into smarter, more informed decisions. Explore how Experian Cashflow Data Bureau is helping financial institutions put consumer-permissioned cash flow insights into practice at scale. Learn more [1] Federal Reserve Bank of New York, The Market for Credit Building: Demand, Product Characteristics and Consumer Uses, 2026. [2] Experian commissioned Atomik Research to conduct an online survey of 2,000 U.S. adults age 18+. Fieldwork took place July 16–21, 2026. Margin of error: +/- 2.2 percentage points at a 95% confidence level. [3] Based on Experian analysis when Cashflow Score is compared with conventional credit scores, tailored to targeted risk tiers. Predictability based on KS.

October 14, 2026 by Julie Lee
The Three Onboarding Fraud Pain Points That Slow Growth (And How to Solve Them) 

Effective fraud prevention is critical to balancing security and customer experience during onboarding. Learn more!

October 12, 2026 by Charles Hunter
How Rental Data Is Expanding Financial Opportunity for Millions of Renters 

Discover how rental payment reporting can expand credit access, strengthen credit profiles and improve risk assessment for renters and housing providers.

October 8, 2026 by Manjit Sohal

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe