This report lays the foundation for a FinRegLab initiative that will explore opportunities to advance financial health measurement for small businesses. It proposes a framework and set of metrics for defining and measuring small business financial health using digital bank account data. The report also outlines how financial health measurement together with cash flow data could help CDFIs better measure their impact and create value for a broader range of financial institutions beyond CDFIs.

FinRegLab is evaluating the use of digital banking data to measure small business financial health, evaluate the effects of loan capital on business outcomes, and examine the contribution of entrepreneurship to wealth building in underserved communities.

This paper reflects discussions with several banks about key considerations and approaches when managing machine learning underwriting models for consumer credit underwriting.

The Future We Make: Leveraging AI in Financial Services” contains four themes and nine key insights from the AI Symposium 2025. The goal of this report is to highlight some of the key messages, ideas, and examples that were discussed throughout the Symposium.

FinRegLab is tracking the spread of agentic AI in financial services and e-commerce. These dynamic AI systems can be structured to respond to new information and make and execute decisions without ongoing human engagement.

This market scan report traces the adoption of agentic AI systems in financial services and e-commerce, identifying critical questions about how to tap its benefits while mitigating risks to consumers, financial services providers, and the broader economy.

This empirical white paper assesses the impacts on model predictiveness and credit access of both adopting machine learning techniques and incorporating electronic bank account information (often called cash flow data) in consumer underwriting models.

This report details the experiences of mission-based lenders such as community development financial institutions (CDFIs) and minority depository institutions (MDIs) as they adopt electronic bank account data and lending platforms to increase lending to minority-owned businesses and other underserved entrepreneurs. The paper provides both a practical snapshot of how lenders manage data and technology adoption today and a broader analysis of issues that will shape their ability to serve substantially larger numbers of entrepreneurs going forward.

This empirical paper analyzes the impacts on predictive accuracy and credit access of incorporating electronic cash-flow data into small business underwriting models using data from two fintech lenders that lend to a broad spectrum of customers.

The Future We Make: Leveraging AI in Financial Services” contains four themes and nine key insights from the AI Symposium 2024. The goal of this report is to highlight some of the key messages, ideas, and examples that were discussed throughout the Symposium.