Cash flow underwriting, explainable AI, and credit risk analytics are changing how lenders approve borrowers and set loan terms. Tedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential, sits down with Jamie Twiss, CEO of Carrington Labs, and Kasey Kaplan, Chief Product and Commercial Officer, to break down how behavioral signals in bank transaction data outperform traditional credit scores.

Over 50 percent of loan applicants cannot produce a reliable credit score, leaving self-employed workers, gig earners, and younger borrowers locked out of the system. Carrington Labs uses billions of lines of transaction data to build personalized, explainable machine learning models per lender, per product, and per customer segment. The conversation covers their "control point" approach to AI, lifecycle underwriting beyond origination, open banking friction in the US, and a five-year outlook on embedded, agent-driven lending.

1️⃣ Map analytics to every step of your lending funnel to find exactly where borrowers drop off and why.

2️⃣ Buy best-of-breed origination and servicing tools instead of building proprietary underwriting tech in-house.

3️⃣ Start with off-the-shelf models, lend small, collect performance signal, then shift to custom models fast.

4️⃣ Offer higher loan limits to borrowers who sync more accounts through open banking.

5️⃣ Track how borrowers respond to financial scarcity and build those behavioral patterns into your credit criteria.

Guest

Jamie Twiss LinkedIn: https://www.linkedin.com/in/james-twiss/

Kasey Kaplan LinkedIn: https://www.linkedin.com/in/kaseykaplan/

Company

Carrington Labs: https://www.carringtonlabs.com/

Carrington Labs LinkedIn: https://www.linkedin.com/company/carringtonlabs/

Beforepay Group: https://www.beforepaygroup.com

Fintech Confidential

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About the Guests

Jamie Twiss is CEO of Carrington Labs and Beforepay Group. He began his career at McKinsey & Company, held senior banking roles including Chief Data Officer at a major Australian bank, and now leads the development of explainable AI credit risk models for lenders globally.

Kasey Kaplan is Chief Product and Commercial Officer at Carrington Labs. With over 15 years across payments, program management, and fintech lending, he leads commercial execution across credit risk scoring, cash flow underwriting, and loan limit solutions.

About the Company

Carrington Labs is the AI and enterprise software division of ASX-listed Beforepay Group. The company builds explainable AI credit risk scoring, cash flow underwriting, and loan limit solutions for banks and non-bank lenders worldwide, having powered over 4 million loans through its sister business.

About the Host

Tedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential. With 25+ years in fintech and payments, he brings entertaining and informative conversations focused on the people, tech, and companies that change how you pay and get paid.

DD3 Media

Fintech Confidential is a production of DD3 Media, a media creation, management, and production company delivering engaging fintech content globally.

Chapters

00:00 Episode Highlights

01:04 Welcome to Fintech Confidential

01:13 DFNS: Wallets as a Service (sponsor)

02:34 Meet Carrington Labs

04:48 Casey FinTech Origin

06:05 Jamie Credit Risk Path

07:59 Mission Beyond Scores

10:16 Cashflow Underwriting

13:35 Alternative Data Behaviors

17:37 Built Inside Beforepay

21:01 AI Control Points

24:07 Deterministic Vs Inference

28:35 Keeping Bias Out

34:48 Real Client Turnaround

36:44 Funnel Friction Signals

38:25 Optimizing Drop Off

39:21 Sky Flow: Building Fast and Secure (sponsor)

40:21 Product Specific Risk Models

42:32 From Shelf To Custom

43:34 Model Retraining Workflow

47:05 Siloed Versus Consortium

48:59 Cashflow Behavior Insights

50:25 Feature Engineering Matters

51:41 Macro Shocks In Data

56:07 Lifecycle Servicing Signals

57:36 Limit Management Uplift

58:55 Open Banking Pushback

01:03:53 Crystal Ball AI Lending

01:09:11 Advice And Wrap Up

01:13:24 Hawk AI: Realtime Fraud Monitoring (sponsor)

01:14:10 Disclaimer