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.

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

Just a year after the inaugural FinRegLab AI Symposium highlighted the inflection point facing the sector and the broader U.S. economy, participants in the 2025 Symposium described concrete impacts, evolving risks, and expanding opportunities. This report highlights key themes and insights from the event.

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.

FinRegLab convened its inaugural AI Symposium in November 2024, as AI advances were poised to dramatically transform the financial services landscape, creating new risks and new opportunities to promote consumer wellbeing, financial inclusion, and financial stability. This report highlights key themes and insights from the event.

This report examines how modernizing federal insurance programs for manufactured home loans can expand affordable housing access. Modern manufactured housing is high quality, but financing for certain loan types is limited due to outdated processes and inconsistent rules. Recommendations include automating underwriting, harmonizing loan requirements, and improving data access to attract more lenders and support underserved communities.

This landscape paper details gaps in traditional systems that both make it difficult for millions of consumers to access financial services and for financial institutions to detect and protect against bad actors.