Artificial Intelligence for Smarter, Faster Decisioning

by Guest Contributor 3 min read September 20, 2021

Artificial intelligence is here to stay, and businesses who are adopting the newest AI technology are ahead of the game. From targeting the right prospects to designing effective collections efforts, AI-driven strategies across the entire customer lifecycle are no longer a nice to have – they are a must. 

Many organizations are late to the game of AI and/or are spending too much time and money designing and redesigning models and deploying them over weeks and months. By the time these models are deployed, markets may have already shifted again, forcing strategy teams to go back to the drawing board. And if these models and strategies are not being continuously monitored, they can become less effective over time and lead to missed opportunities and lost revenue. By implementing artificial intelligence in predictive modeling and strategy optimization, financial institutions and lenders can design and deploy their decisioning strategies faster than ever before and make incremental changes on the fly to adapt to evolving market trends. 

While most organizations say they want to incorporate artificial intelligence and machine learning into their business strategy, many do not know where to start. Targeting, portfolio management, and collections are some of the top use cases for AI/ML strategy initiatives. 

Targeting 

One way businesses are using AI-driven modeling is for targeting the audiences that will most likely meet their credit criteria and respond to their offers. Financial institutions need to have the right data to inform a decisioning strategy that recognizes credit criteria, can respond immediately when prospects meet that criteria and can be adjusted quickly when those factors change. AI-driven response models and optimized decision strategies perform these functions seamlessly, giving businesses the advantage of targeting the right prospects at the right time. 

Credit portfolio management 

Risk models optimized with artificial intelligence and machine learning, built on comprehensive data sets, are being used by credit lenders to acquire new revenue and set appropriate balance limits. Strategies built around AI-driven risk models enable businesses to send new offers and cross-sell offers to current customers, while appropriately setting initial credit limits and managing limits over time for increased wallet share and reduced risk.  

Collections 

AI- and ML-driven analytics models are also optimizing collections strategies to improve recovery rates. Employing AI-powered balance and response models, credit lenders can make smarter collections decisions based on the most predictive and accurate information available.  

For lending businesses who are already tight on resources, or those whose IT teams cannot meet the demand of quickly adapting to ever-changing market conditions and decisioning criteria, a managed service for AI-powered models and strategy design might be the best option. Managed service teams work closely with businesses to determine specific use cases, develop models to meet those use cases, deploy models quickly, and monitor models to ensure they keep producing and predicting optimally. 

Experian offers Ascend Intelligence Services, the only managed service solution to provide data, analytics, strategy and performance monitoring. Experian’s data scientists provide expert guidance as they collaborate with businesses in developing and deploying models and strategies around targeting, acquisitions, limit-setting, and collections. Once those strategies are deployed, Experian continually monitors model health to ensure scores are still predictive and presents challenger models so credit lenders can always have the most accurate decisioning models for their business. Ascend Intelligence Services provides an online dashboard for easy visibility, documentation for regulatory compliance, and cloud capabilities to deliver scores and decisions in real-time. 

Experian’s Ascend Intelligence Services makes getting into the AI game easy. Start realizing the power of data and AI-driven analytics models by using our ROI calculator below:

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For more information about Ascend Intelligence Services, visit our webpage or join our upcoming webinar on October 21, 2021. 

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Consumer visibility is changing Roughly 45 million Americans, or 1 in 5 consumers, are considered credit invisible or unscoreable.[1] They’re working, paying bills and participating in the economy, yet many are not fully visible during the lending process. That creates both a visibility challenge and a growth opportunity for lenders. In this Ask the Expert session, Corliss Hill, Senior Director, Inclusion and Belonging at Experian, joins Dr. Vaneesha Dutra, Endowed Professor of Finance at Morehouse College, to discuss how evolving consumer behaviors are reshaping conversations around financial inclusion and lending decisions. For lenders, visibility matters because confident decisions depend on reliable context and insight. Broader consumer signals can help institutions better understand repayment behaviors, financial stability and consumer capacity. “The benefit of banks using alternative data is that they capture a very significant and new consumer base. That's 20% of the population, 45 million Americans.”Dr. Vaneesha Dutra, Endowed Professor of Finance A more complete understanding of today’s consumers Today’s consumers often manage obligations across a wide range of payment types and financial channels, creating additional signals through cash flow activity, recurring payments and consumer-permissioned financial data. Rent, utilities, subscriptions and mobile phone payments can all provide meaningful insight into how consumers manage their financial lives. What’s changing isn’t the need for risk assessment. It’s the amount of consumer behavior lenders can now evaluate. For example, a consumer experiencing temporary financial disruption may fall behind on certain obligations while continuing to consistently pay rent, utilities and phone bills. 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Responsible lending starts with better context For lenders, the path forward is practical and actionable. As lenders evaluate broader consumer behaviors, three priorities become increasingly important: Modernize data strategies Incorporate broader consumer signals alongside existing credit data to create a more holistic view of repayment behavior and financial stability. Engage consumers earlier Earlier intervention may help lenders better support consumers before financial challenges become more severe. Create pathways to financial access Smaller lending opportunities can help consumers establish stronger financial profiles and demonstrate positive repayment behaviors over time. The institutions that lead will be the ones that can combine strong risk practices with a broader understanding of consumer behavior. Whitepaper: Bridging the credit divide: income, risk and inclusion in consumer finance Building on the themes discussed in this Ask the Expert session, Dr. Dutra explores how demographic shifts, evolving borrower behaviors and broader consumer visibility are reshaping lending strategies and what they mean for lenders seeking to balance growth, risk management and financial inclusion. Download whitepaper Explore alternative data with Experian Experian can help lenders combine broader consumer insights with trusted credit data to strengthen decisioning, improve risk assessment and support more-informed lending strategies. With solutions spanning identity, cash flow and advanced analytics, lenders can gain a more complete view of consumer behavior and expand access to credit with greater confidence. Learn more Watch episode 1 About our experts Corliss Hill Senior Director, Belonging Business Partner, Experian Corliss Hill is a collaborative leader well-versed in working with executive stakeholders, crossfunctional teams, external partners and community organizations to design and deliver initiatives and programs that create sustainable impact. With over 25 years of extensive experience in multicultural marketing, communications, PR and inclusion and belonging initiatives, she is dedicated to advancing equitable access to financial. Her mission is to drive impactful marketing initiatives that foster meaningful change and address systemic barriers to inclusion and the communities they serve.Hill has been a part of the Experian family since 2021, and resides in Atlanta with her daughter who is a rising 11-year-old entrepreneur. 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