Tip Sheet
Published January 9, 2026
Banks Credit Unions Credit & Economic Trends Financial Inclusion
This summary outlines important research findings that help lenders drive a more inclusive environment for customers, while mitigating risk.
A few takeaways:
- Understanding the profiles of who’s more prone to exclusion informs risk management.
- Machine learning techniques can also be deployed to help detect economic interaction effects or shifts.
- Attributes like education level, occupation or rent/utilities payment history have predictive power in credit outcomes.
Click the button below to access the tip sheet
View now
White Paper
Governing AI at Scale for Adaptive Model Risk Management
Learn how financial institutions can modernize model risk management to govern AI responsibly at scale.
• Explore adaptive AI governance principles for regulated environments
• Understand the LLM-as-a-judge governance review approach
• See how AI-assisted governance improves oversight, evidence and accountability
Report
2026 State of fintech report
Read the latest State of Fintech Report to see strategy playbook fintechs are implementing in 2026 and beyond. Key insights include:
- How fintech leaders are balancing growth, fraud risk and portfolio performance
- Why data strategy is becoming a competitive advantage in credit decisioning
- How identity, credit and behavioral signals are enabling smarter lifecycle decisions
- Practical actions fintech organizations can take to grow with confidence in 2026
Case Study
Turning thin-file members into incremental growth
Learn how a proactive credit card graduation strategy helped America First Credit Union responsibly expand member relationships while maintaining strong portfolio performance.
- Increased more than 32,000 credit card limits
- Generated approximately $26 million in balance growth
- Maintained just 0.59% delinquency
Infographic
Commercial and small business lending, optimized
A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.