Elevating credit risk analysis: advanced reject inferencing techniques

Our use cases share real-world examples of how cash flow insights help grow portfolios responsibly while expanding credit access. Explore scenarios across borrower types, including: 

• Gig workers and freelancers with fluctuating income 
• Small business owners with nontraditional cash flow patterns 
• Thin-file and new-to-credit consumers lacking traditional credit history 
• Subprime borrowers demonstrating positive financial behavior

Experian surveyed product, fraud and credit risk leaders across 10 countries to understand where underwriting is headed. The takeaway is clear: it’s evolving to be frictionless, embedded and nearly instant.

In this report, you’ll discover:

• How credit underwriting is expected to evolve by 2030
• The primary forces driving these changes
• Key takeaways to help your business lead into the next decade

Discover the transformative trends reshaping the future of underwriting, from agentic AI to alternative credit data.

A few spoilers:

• 80% of leaders will leverage alternative data vs. traditional data by 2030.
• 62% see fraud prevention as one of the key reasons for alternative data adoption
• More than 61% anticipate that scoring, decisioning and data collection will be outsourced by 2030.

Financial institutions face several challenges during the credit decisioning process, such as poor data quality, scalability issues, data fragmentation, and high maintenance costs. Experian can help lending institutions enhance their credit decisioning journey at every step, through:

• Model development
• Model deployment
• Decisioning
• Fraud analysis

Discover how your organization can take your credit decisioning journey to the next level with the Experian Ascend Platform™.