Carrington Labs at Money20/20 USA in Las Vegas

“The best part was speaking to customers and learning how we can help. It was a validation that there is lots of need for our products.” - Rajini Carpenter, CTO of Carrington Labs
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From October 26th to 29th, lenders, fintech leaders, startups, credit providers, and many more, flocked to Las Vegas for Money20/20 USA.
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Across four packed days, Carrington Labs CCO/CPO Kasey Kaplan, CTO Rajini Carpenter, and VP of Sales & Partnerships Suzanne Thorneycroft, met with leaders from all corners of the industry, speaking to lenders of all sizes on the growing importance of cash flow underwriting and cash flow servicing. 
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In this article, we look at the key themes that emerged from our discussions at Money20/20 2025, and highlight why Carrington Labs stands at the forefront of credit risk analytics. 

Increased interest in cash flow underwriting 

Cash flow underwriting was one of the key points of interest for US lenders at Money20/20, growing in popularity alongside the understanding that transaction data should be used to score risk. 
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Cash flow underwriting enables lenders to build a more complete view of a borrower’s repayment capacity, assess credit risk, and inform lending opportunities. Lenders are finding increasing value in looking beyond a static bureau score and utilizing a customer’s transaction data (with their consent) to understand and assess their current financial behaviors. In fact, some use cases of Carrington Labs’ Cashflow Score have shown up to 30% higher accuracy in scoring high-risk customers and 2.5x more accuracy in scoring low-risk, high-value customers.  
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Cash flow underwriting is making it easier than ever before to meet borrowers where they’re at. 
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Read our 5-minute guide to cash flow underwriting. As one of the leading providers of credit risk analytics and cash flow underwriting models, Carrington Labs was primed to lead those emerging conversations. 

Lenders want purposeful AI use

AI was everywhere at Money20/20, but it was clear that many lenders are getting tired of general AI use and are looking for solutions that implement it strategically, commercially, and compliantly.
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Many providers don’t distinguish between the types of AI used—generative or machine learning—treating it, ironically, as a black box tool that will help in some unspecified way. This set Carrington Labs even further apart from other providers, as we were able to show live demonstrations of our Credit Risk Model, which took customers on a journey from a hypothetical benefit to a proven reality. 
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“As far as I know, I’m the only person who pulled out a laptop and showed people how it worked!” said Kasey. 
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On top of general AI use, there was also lots of discussion around agentic AI workflows—their effectiveness, application, and management of risk. These were good conversations that validated our work in agentic AI, with the launch of the Carrington Labs MCP Server following shortly after returning from Money20/20.

Underwriting doesn’t end at origination 

While cash flow underwriting was one of the main topics at Money20/20, cash flow servicing also found itself in the spotlight, with many lenders expressing interest in how post-origination credit risk monitoring could integrate into their businesses. 
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We spoke to lenders about how modern solutions can blend banking transactions, balances, payment history, and prior outreach outcomes to monitor the health of a loan post-origination and enable proactive credit risk management. For lenders, this means new opportunities to grow portfolios and better serve borrowers. 
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A solution such as our Cashflow Servicing product could help lenders spot early risk indicators before they surface, drawing upon transaction-level data and product-specific insights to provide clear, explainable next-best action recommendations. 
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Cash flow servicing is becoming the smarter way to approach healthier portfolio growth and support borrower health. 

Key Takeaway

As cash flow underwriting, cash flow servicing, and AI led the conversations at Money20/20, it’s clear that the fintech industry is looking for new ways to leverage deeper credit risk analytics and cash flow underwriting in their own workflows. It’s not just about having more data, but in using that data to inform smarter decisions at every stage of the loan lifecycle.