accelitas

Ai Lift

Accept and predict more creditworthy borrowers by up to 30%

Benefit: Increase acceptance rates and grow profitable accounts

Ai Lift is an AI-powered Credit Risk web service that leverages any data source to deliver the Ai Lift Score, enabling lenders to identify and predict creditworthy thin-file and no-file borrowers. Easily incorporated into loan-decisioning platforms at any stage of the data waterfall, Ai Lift uses Explainable AI techniques and FCRA data from CRA partners to give lenders the confidence to make and explain credit decisions. When lenders recently applied Ai Lift to their loan-decisioning processes, they found between 20–30% overlooked accounts that turned out be creditworthy and profitable. Using Ai Lift, lenders can grow profitable accounts while reducing risk, First Payment Default (FPD), fraud, and charge-offs.

 
Uncorrelated Data and predictive AI to find creditworthy customers

AI and alternative data enable lenders to customize Microclimate™ scores and make smarter loan decisions. Traditional credit scoring gives you the big picture, but today’s lenders need more than that. If you knew the average temperature of the United States, you still wouldn’t know the weather outside your door. Just as microclimates make real and measurable differences where we live, a Microclimate credit score gives you the specific information you need for smarter loan decisioning. This is where AI and alternative data yield the most beneficial results, letting you customize predictive insights to your business at each stage of your data waterfall.

High in the Data Waterfall

Lenders can apply real-time, AI-powered insights to screen applicants more accurately at the start of your loan-decisioning process. Instead of using generic credit scores that can eliminate too many applicants, or expensive scores loaded with thousands of variables, adding highly predictive insights here will allow you to accept the most creditworthy consumers, while segmenting higher risk applicants for further analysis. Because these AI-powered insights are explainable, lenders will have information that can support compliance with the FCRA adverse action requirements.

Ai powered insights for loan-decisioning

Middle of the Data Waterfall

Using AI-powered insights at the middle of the waterfall helps inform lending decisions and effectively target segment products and offers based on the appropriate credit risk level. For example, an auto lender can tune a Microclimate score to assess the unique risk thresholds for expensive cars and use a different score for entry-level or pre-owned models.

  • Identify up to 20-30% more creditworthy borrowers

  • Open more profitable accounts

  • Leverage Explainable AI to support FCRA adverse action requirements

  • Optimize profitability by tuning scores to both short and long-term objectives

  • Reduce risk, First Payment Default (FPD), fraud, and charge-offs


Ai Lift Save

Revive Previously Rejected Loan Applicants with Uncorrelated Alternative Data

Benefit: Reduce high rejection rates and increase ROI

Why re-evaluate rejected accounts? Because it’s possible that earlier stages in the data waterfall overlooked indications of an applicant’s creditworthiness. By tuning analytics for a “save” strategy, it’s possible to discover these signals of creditworthiness and offer loans to previously rejected applicants ready to become profitable accounts.

Low in the Data Waterfall

Lenders can apply real-time, AI-powered insights to re-analyze rejected applicants for overlooked indications of creditworthiness, allowing them to accept more creditworthy borrowers without investing in additional leads or outbound sales and marketing initiatives. Bottom of the waterfall risk models can also be fine-tuned to suit your particular business goals, profitability model, and budget. In addition, the best models provide easy-to-use APIs, so that building new scores at any location in a waterfall can be done quickly and easily.

Ai Lift Save applies proprietary AI techniques like machine learning to analyze rejected financial applications for overlooked indications of creditworthiness, enabling companies to say “yes” to profitable applicants they would otherwise have rejected.

  • Open more profitable accounts

  • Using Ai Lift, lenders can identify significant numbers of rejected accounts that can be identified as creditworthy borrowers and converted to profitable accounts

  • Lenders who have implemented Ai Lift and opened accounts they would have otherwise rejected have achieved an ROI of 30%

 

Accelerated Insight Platform:

Ai Screen
Ai Lift
Ai Validate

Learn how to Identify more creditworthy customers:

+1 (415) 842-7700
sales@accelitas.com

Request a free AI Lift data test today.

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