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The Role of Advanced Identity Verification in Effective Fraud Prevention

The Role of Advanced Identity Verification in Effective Fraud Prevention

Unlock growth while fighting fraud with a complete identity verification solution.
  • Tom Hidock
    Director, Global Partnerships,
    GBG IDology

Preventing fraud and building trust with customers has evolved over the years. The global market recognizes this and views customer trust and security strategically, with 65% of businesses indicating that identity verification and fraud protection activities are differentiators that can drive revenue.

GBG IDology has an extensive history of tracking fraud data, which gives us a unique perspective on trends not seen elsewhere in the market. Our latest Global Fraud Report: 9th Edition explores customer experience and fraud prevention in the age of artificial intelligence The report’s insights are significant for businesses trying to stop new types of fraud while making things easier for their customers.

These insights show that companies must instill trust along the customer journey. Achieving this means using an identity verification platform powered by onboarding intelligence, cross-industry expertise and enhanced data sources to quickly and responsibly verify identities.

Rethinking Digital Identity Verification

So, how can businesses do more with less data and deliver seamless digital experiences that exceed customer expectations without increasing the risks of fraud?

The solution lies in rethinking digital identity verification (IDV). Meeting modern demands requires digital identity verification that can:

  • Look across multiple data sources. Over 50% of companies reported an overall increase in fraud across mobile, online, contact centers, and in-person channels. As fraudsters continue to exploit an interconnected system of online and offline channels, a holistic, layered approach to IDV is essential.

    A solution utilizing diverse sets of enhanced data sources can quickly verify consumer identities without excessive data collection. By analyzing less invasive information like IP addresses, phone numbers, and email addresses, companies can conduct ‘soft’ KYC checks to evaluate risk.

    When these solutions are a part of a greater verification strategy, businesses also gain detailed feedback on identity checks. Incorporating additional solutions such as biometrics-based verification and documentation authentication ensures businesses have more inclusive ways to deliver the right verification experience at the right time. This layered approach provides transparency into onboarding decisions needed to meet compliance checks and regulatory needs, without adding unnecessary friction.

    A recent success story illustrates the power these solutions can have. A business came to GBG IDology looking to overcome increasing customer acquisition costs. After effectively implementing the right solutions for their needs, the client was able to conduct thorough risk assessments and customize journeys for new clients. This resulted in a 5:1 return on investment and allowed the client to convert more leads, accelerating loan approvals without increasing friction or fraud, which also resulted in increased cost savings.

  • Offer visibility into cross-industry intelligence. Fraud moves between industries and across borders indiscriminately, specifically synthetic identity fraud (SIF). Moreover, our recent fraud report found that 74% are concerned about the potential for SIF to increase.

    An extensive cross-industry network enables different institutions to benefit from fraud data and learnings elsewhere in the ecosystem, securing the whole network more effectively.

    Utilizing cross-industry intelligence amplifies real-time fraud intelligence between companies in the network anonymously, giving companies insight into fraud threats trending in other industries.

    Firms can then build a complete fraud intelligence ecosystem, empowering them to make smarter decisions faster about identities. With deeper, cross-industry onboarding intelligence, companies can identify trusted borrowers while adding step-up authentication to those needing an extra touch.

  • Combine AI with human fraud expertise. With its ability to scrutinize vast volumes of digital data quickly, AI can automate the discovery of threats for faster, enhanced decision-making, but it’s not foolproof. Business leaders reported generative AI to be the biggest trend in identity verification over the next 3-5 years. When asked why, leaders cited the tech’s potential to create more accurate synthetic identities, increase the volume of phishing/smishing and generate more convincing fake IDs.

    Additionally, AI alone can’t provide the transparency companies need to explain to regulators why a decision was made, produce an auditable trail showing policies were followed during onboarding and better train the machine learning models that power it.

    The combination of AI and human fraud expertise eliminates these issues. Fraud analysts provide oversight and closed-loop transparency for continuous improvement and optimization. Fraud analysts are also invaluable in providing first-hand, expert insight into the fraud they’re seeing in the marketplace and best practices for preventing it in the future.

Trusted intelligence to unlock growth

This balance of security and convenience remains the ultimate challenge, beginning during onboarding. Layered identity verification solutions are a critical technology that can empower firms to evaluate consumer risk while staying competitive. With the right solution in place, companies can deliver a seamless and secure borrowing experience that builds trust and leads to loyalty for long-term growth.

Check out IDology’s Global Fraud Report: 9th Edition to gain more insights into building trustworthy customer journeys that keep fraud out.

Discover how Provenir’s AI-Powered Decisioning Platform can enable more accurate fraud detection.

Learn More

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Lending Affordability and Regulations in the Nordics: Navigating Rising Debt and Consumer Protection

Lending Affordability and Regulations in the Nordics: Navigating Rising Debt and Consumer Protection

The Nordic countries—Denmark, Finland, Iceland, Norway, and Sweden—have long been celebrated for their stable economies, strong social safety nets, and sound financial systems. However, rising household debt and escalating housing costs are placing increasing pressure on lending affordability, prompting regulators to implement stricter controls to ensure responsible borrowing and protect financial stability. Adding to these challenges, global economic factors such as inflation, interest rate hikes, and geopolitical tensions are significantly impacting the Nordic lending market.

As a result, Nordic borrowers are finding it increasingly difficult to manage their debt and maintain affordability. Household debt has surged across the Nordics, especially in Sweden, where the debt-to-income ratio has surpassed 150%. Many consumers are now struggling with higher mortgage payments, causing regulators to step in.

Consumer Loan Restrictions

Nordic governments are increasingly imposing restrictions on consumer loans to protect borrowers from predatory lending and unmanageable debt, in addition to tightening mortgage regulations. Finland, for example, has capped interest rates on consumer loans at 20%, while similar actions are being implemented across the region to address high-interest lending. Each country is tackling lending affordability with distinct measures. Sweden, for instance, emphasizes amortization requirements to reduce debt levels over time, while Denmark focuses on income-based lending caps to ensure that borrowers do not take on more debt than they can afford. These country-specific approaches highlight the region’s nuanced strategies for maintaining financial stability and protecting consumers in a challenging economic environment.

Looking ahead, stricter regulations could reshape the financial services landscape in the Nordics, potentially slowing growth for lenders while encouraging more sustainable lending practices. Lessons from past regulatory cycles in other regions, such as tighter controls in the U.S. and Europe following financial crises, suggest that while short-term growth may be impacted, long-term stability and consumer trust could improve, setting the stage for a more resilient financial sector.

Exploring the Role of Technology in Affordability

But, thankfully, the rapid advancement of technology is reshaping the financial services landscape in the Nordic region, where digital lending platforms, open banking, and fintech innovations are driving significant changes in how consumers access credit. While these technologies offer unparalleled convenience and inclusivity, they also introduce complexities related to lending affordability. Are these innovations making it easier for consumers to secure loans, or are they exacerbating the issue of rising debt?

Digital Lending and Fintech: Balancing Access and Risk

Digital lending platforms and fintech solutions have made borrowing more accessible than ever. In the Nordics, where internet penetration is among the highest in the world, consumers can now apply for and receive loans entirely online, often within minutes. These platforms leverage open banking frameworks to access a wider range of financial data, allowing lenders to make more informed decisions about creditworthiness. This streamlined approach has expanded access to credit, particularly for underserved populations who may have struggled to secure loans through traditional banks.

However, this ease of access presents a double-edged sword. While consumers certainly benefit from the convenience, there’s also a risk of over-borrowing, as the simplicity of digital lending can sometimes lead to impulsive financial decisions. The seamless user experience offered by many fintech platforms can obscure the long-term financial implications of taking on more debt. For lenders, this raises the question of how to balance innovation with responsibility. Regulatory bodies in the Nordics need to closely monitor these developments to ensure that technological advancements don’t compromise financial stability.

AI in Affordability Assessments: A Smarter Way to Lend

Artificial intelligence (AI) is playing an increasingly pivotal role in refining affordability assessments. By analyzing vast amounts of data—from spending patterns to employment history—AI-driven tools offer a more holistic view of a borrower’s financial health than more traditional credit scoring methods. These tools can detect nuances that human analysts or outdated systems might miss, ensuring that lending decisions are based on a comprehensive and real-time understanding of a borrower’s ability to repay.

For lenders, AI offers the dual benefits of improving accuracy and reducing risk. By predicting a consumer’s likelihood of default with greater precision, AI-driven affordability assessments allow lenders to adjust their loan offerings accordingly. This means that consumers are less likely to be approved for loans they can’t afford, mitigating the risk of rising debt levels. Additionally, AI-powered automation helps lenders streamline their operations, reducing the time and cost associated with manual assessments.

In the Nordic region, where regulators are tightening lending criteria, AI is becoming an essential tool for compliance. Lenders can integrate AI into their decision-making processes to ensure they meet strict affordability guidelines while continuing to provide accessible credit to consumers. The use of AI also helps reduce bias in lending decisions, as algorithms are trained to assess objective financial indicators rather than relying on potentially flawed human judgment.

Danske Bank is one successful example. They’ve integrated digitalization and advanced data analytics into their lending process, which has helped the institution manage affordability risks more effectively. The bank’s “Sunday” mobile app uses AI to provide personalized financial advice, helping customers make informed borrowing decisions. Additionally, Danske Bank has implemented income-based lending caps, ensuring that borrowers do not take on more debt than they can afford while leveraging digital tools to continuously monitor customers’ financial health and proactively engage them when needed.

Looking Ahead: Strengthening Risk Management Systems

Lending affordability remains a critical issue in the Nordics, as regulators seek to balance financial stability, consumer protection, and economic growth. With rising debt levels and increasing pressure on households, regulatory frameworks will continue to evolve to ensure sustainable lending practices. As these changes unfold, lenders must prepare strategically by prioritising investments in technology that enhance data-driven decision-making and improve compliance with stricter regulations. Strengthening risk management systems will be essential for adapting to evolving market conditions, while a focus on consumer engagement through personalised, transparent lending experiences can help build trust and retention. By staying ahead of regulatory shifts and leveraging innovation, Nordic lenders can navigate this complex landscape and ensure long-term stability and growth.

By leveraging fintech innovations and AI, lenders in the Nordics have the opportunity to enhance affordability assessments and promote more responsible lending. However, they must also remain vigilant about the potential downsides of making borrowing too accessible. Balancing technological progress with responsible lending practices will be crucial in ensuring that consumers are protected and that lending remains sustainable in the face of rising debt.

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Provenir for Onboarding

Provenir for Onboarding

Minimize Credit and Fraud Risk, Maximize Opportunity
Discover Provenir’s single, scalable software solution that enables real-time decisioning across any financial services segment. Empowering you to balance risk management with growth opportunities, Provenir’s AI-driven decisioning platform allows you to assess credit risk effectively and prevent fraud, enabling more intelligent, accurate decisions – at onboarding and beyond.
Discover how Provenir can optimize your onboarding strategy

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Provenir for Customer Management

Provenir for Customer Management

Maximize Value Across the Entire Customer LIfecycle.
Take your customer management to the next level with Provenir’s AI-Powered Decisioning Platform. Maximize the lifetime value of your customers, with robust credit risk decisioning enabling you to make the right decisions, at the right time, during onboarding and beyond.
The Ultimate Guide to Decision Engines
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Provenir Takes Home Top Honors in the Global BankTech Awards, Named ‘Best Credit Risk Solution’ for Two Years Running

Provenir Takes Home Top Honors in the Global BankTech Awards, Named
‘Best Credit Risk Solution’
for Two Years Running

The prestigious global awards program recognizes the world’s preeminent and ground-breaking technology vendors pioneering transformation in the financial services industry

Parsippany, NJ – September 23, 2024 – Provenir, a global leader in AI-powered risk decisioning software, today announced that it has been named winner of the “Best Credit Risk Solution by a Vendor” category in the annual Global BankTech Awards 2024. The is second year in a row that Provenir has been recognized for its leadership position in the awards program’s Best Credit Risk Solution category.

The Global BankTech Awards are organized by The Digital Banker, a globally trusted news, business intelligence and research partner to the worldwide financial services sector. These awards celebrate the world’s most cutting-edge vendor and solution providers that are pioneering unrivalled technology competencies and capabilities and transforming the financial services industry by setting new milestones in digital transformation to ensure that financial institutions remain adaptable, agile and nimble in responding to evolving market conditions.

Provenir’s AI-Powered Decisioning platform incorporates four intelligent decisioning solutions – credit risk onboarding, customer management, collections, and fraud and identity – across the lifecycle in a single platform. With holistic end-to-end decisioning, the platform eliminates the need to integrate multiple platforms by providing cohesive, loyalty-building experiences across the customer journey that minimize risk and maximize customer lifetime value.

“Provenir is extremely honored to be recognized as the Best Credit Risk Solution for the second year running in this prestigious award program,” said Executive Vice President of Provenir International Ryan Morrison. “We’re empowering banks and financial institutions to take control of their risk strategy with intelligent decisioning via a unified platform. Our unique offering enables organizations to power decisioning innovation across the full customer lifecycle, for improvements in customer experience, best-in-class fraud prevention, access to financial services, and business agility.”

See all the awards Provenir has won over the years

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Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment

ON-DEMAND WEBINAR

Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment

Book a Meeting

Lending, for both consumers and small business owners, is a necessary inconvenience. No one wants a loan. They want what the loan provides for them (i.e. a car, a house, another quarter of operating capital, etc.)

Because of this basic reality, embedded lending – the ability to approve and fund customers for loans within the context of the transaction they are attempting to complete – will always be the most convenient, and thus preferable, option for consumers and small business owners.

And as software continues to take over the world, it becomes increasingly easy to embed lending within all of the websites, apps, and SaaS products that consumers and small business owners use on a daily basis. ​The challenge for banks is that they do not control those distribution endpoints. And so, the growth of embedded lending poses an enormous competitive challenge for banks, a challenge that has become even more dire with the growth of fintech and non-bank lending.

Watch on-demand now, as, Alex Johnson (Founder, Fintech Takes) and Kathy Mitchell-Stares (EVP North America, Provenir) share insights on:

  • How and why embedded lending is growing and how that growth is displacing traditional consumer and commercial loan distribution channels
  • The implications of this shift for banks and for the broader financial services industry
  • Actionable advice for how banks can adapt their business strategies and technology stacks to thrive in embedded channels and future-proof their businesses

Panelists
  • Alex Johnson

    Fintech Takes

    Founder
  • Kathy Mitchell-Stares

    Provenir

    EVP North America

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Headless Banking and BaaS: Delivering a New Era of Customer-Centric Financial Services

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Delivering a New Era of Customer-Centric Financial Services

The customer is at the center of everything we do – and two transformative banking models are currently reshaping how financial services are developed for, delivered to, and consumed by those customers across the globe. Read now as Brendan Deakin, General Manager, US at Provenir, outlines how headless banking and Banking-as-a-Service are disrupting the world of finance, and how to overcome challenges to implementation.

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Infographic: Unlocking the Embedded Finance Advantage

Infographic

Unlocking the Embedded Finance Advantage
How to Harness Embedded Finance for Enhanced Customer Experiences
Are you continuously seeking strategies to help you retain your current customers and grow your business? One approach to consider is embedded finance, which seamlessly integrates financial services (including payments, lending, insurance, and investments) into everyday non-financial platforms used regularly by your customers and prospects.
Read on to discover how to leverage the flexibility of embedded finance in order to:
  • Make your services more accessible and convenient
  • Greatly enhance customer experiences
  • Improve retention of your existing customers
  • Open up new avenues for cross-selling/upselling services
  • Grow your business
Find out more information on embedded finance and how it’s changing customer experiences.

Learn More

ADDITIONAL RESOURCES

Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment

Embedded Lending is ...

ON-DEMAND WEBINAR Embedded Lending is Inevitable: How Banks Can ...
Headless Banking and BaaS: Delivering a New Era of Customer-Centric Financial Services

Headless Banking and...

news Headless Banking and BaaS: Delivering a New Era ...
Infographic: Unlocking the Embedded Finance Advantage

Infographic: Unlocki...

Infographic Unlocking the Embedded Finance Advantage How to Harness ...
Provenir for Embedded Finance

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Provenir for Embedded Finance Maximize Value Through Seamless Financial ...
Blog: The Future of Collections for Wireless Carriers/Telcos

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The Future of Collections for Wireless Carriers/Telcos Best practices ...
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Round-up: Top Organizations Leading in Embedded Finance

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Provenir for Embedded Finance

Provenir for Embedded Finance

Maximize Value Through Seamless Financial Services Integration
Integrating financial services into non-financial platforms is expected in today’s digital marketplace. But success in embedded finance requires automated decisioning technology powered by real-time data and intelligence, allowing you to remain agile and responsive while providing simple, straightforward financing experiences. Provenir’s AI-Powered Decisioning Platform enables intelligent, dynamic, instant decisioning for credit and fraud in real-time, across the entire customer lifecycle.
Want more info on how Provenir enables fast, accurate decisions for embedded finance?

Learn More

ADDITIONAL RESOURCES

Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment

Embedded Lending is ...

ON-DEMAND WEBINAR Embedded Lending is Inevitable: How Banks Can ...
Headless Banking and BaaS: Delivering a New Era of Customer-Centric Financial Services

Headless Banking and...

news Headless Banking and BaaS: Delivering a New Era ...
Infographic: Unlocking the Embedded Finance Advantage

Infographic: Unlocki...

Infographic Unlocking the Embedded Finance Advantage How to Harness ...
Provenir for Embedded Finance

Provenir for Embedde...

Provenir for Embedded Finance Maximize Value Through Seamless Financial ...
Blog: The Future of Collections for Wireless Carriers/Telcos

Blog: The Future of ...

The Future of Collections for Wireless Carriers/Telcos Best practices ...
Mitigating Risk and Maximizing Customer Value Through Effective Case Management

Mitigating Risk and ...

Discover how effective case management in financial services can ...

Fintech-Bank Relatio...

Explore how the franchise model offers surprising insights for ...
Round-up: Top Organizations Leading in Embedded Finance

Round-up: Top Organi...

BLOG Round-up: Top Organizations Leading in Embedded Finance How ...

Continue reading

Blog: The Future of Collections for Wireless Carriers/Telcos

The Future of Collections for Wireless Carriers/Telcos

Best practices and recommendations for more efficient, personalized collections strategies

  • Authors:
    Michael Fife VP Sales & Consulting, US, Provenir
    Sam Rohde Director, PreSales, North America, Provenir
    Andy Beddoes Principal Consultant, North America, Provenir

Collections activities enormously impact the financial performance of U.S.-based wireless carriers. There are 1%-5% of all U.S. subscriber accounts in delinquency at any given time. And with over 450 million post-paid wireless accounts active in the U.S. and an average past due balance between $200 and $300, that means there are over $3 billion dollars that are past due and at risk. To combat these startling stats, wireless carriers need to take advantage of new innovations in advanced analytics and holistic, cloud-native risk decisioning solutions to execute best-practice treatments before consumers go past due. Telcos that deploy advanced analytics to get ahead of payment risks see up to a 10% improvement in recovery rates when compared to those who use legacy processes and static scorecard methods.

Adopting these newer innovations and best practices can drastically reduce operating costs within your collections functions and also increase returns on collections activities. The ease with which internal and third-party data sources can be integrated and orchestrated, and the ease with which advanced analytics can be set up, tested and promoted to production, are primary drivers of these returns on investment.

So we’re looking at exactly what these best practices are for pre-collections and collections decisioning, and what has worked for large telco organizations around the globe.

Decisioning Strategies: Best Practices for Pre-Collections and Collections

Looking at best practices from telco companies around the world reveals that a collections risk decisioning strategy for wireless carriers should consist of at least seven key components. And the platform upon which these are configured and executed must allow simple, self-service access for business users to set up, test, and deploy each component without added burden on tech teams or IT.

  • Champion / Challenger: Can you implement independent and in-stream testing of objects that execute further down in a flow? An unlimited random number generator that divides decisioning down two or more flows allows for complex testing strategies to be executed, which is important for fine tuning the impact of strategies on collected balances and is a best-practice first step.
  • Calculation of Attributes: Be sure you can enable the ingestion of internal and external data to calculate attributes such as days past due, debt-to-income, skip trace required, and other variables useful in predicting behavior and best treatments.
  • Reasons for Collections: The third critical component is being able to calculate internal data that is useful for segmentation, including but not limited to billing cycle data, promise-to-pay broken, skip trace required, and other attributes.
  • Portfolio Segmentation: Can you execute portfolio segmentation in real-time, based on the data your decision engine has ingested to determine the appropriate collections stage (early, mid, late, or more divisions) and subsequent actions?
  • Configurable Collections Stages: Ensure the creation of configurable, divided collections stages where distinct actions and treatments can be executed based on the segmentation characteristics that were executed in the previous step.
  • Scoring Models: The ability to test and deploy advanced analytics that drive the treatments are crucial to successfully increasing balances collected. These include everything from behavioral scorecards and roll-rate models, to risk grades and proposed settlement amounts, that inform the best communication channels, timing, tone, offers and other actions.
  • Treatments: Each of these previous steps lead to you being able to automatically push actions through existing communication channels (SMS, email, push notification, phone, etc.), informing the tone, the settlement offer, and other iterative actions that drive collected balances. Because not all channels elicit the best response – for example, 73% of Gen Z consumers say SMS is best for reminding when payments are past due. This is where the use of advanced analytics can help, informing the right options for individual customers.
A Configured Best-Practice Collections Decisioning Workflow

Modern, cloud-native risk decisioning solutions allow business users to administer the creation and testing of individual decisioning objects or nodes. These nodes interact with each other either concurrently or sequentially and range in complexity from simple business rules to advanced analytics, which users can then create and manage through a low-code interface to improve returns on collections activities. Additionally, decisioning software that is user friendly reduce the technical burden and operating costs of the collections function. What does this mean? In short: business users must be able to manage the end-to-end flow in both test and production environments without having to involve IT.

Here’s an example of a best-practice collections decisioning workflow, which comes from dozens of large-scale implementations thanks to the subject matter expertise of risk and collections professionals. They created this end-to-end sequence for wireless carriers to use, and it can be modified as necessary to adapt to different requirements in order to efficiently execute next-best treatments.

The workflow pictured above uses a combination of on-us behavior data, off-us behavior data from 3rd parties such as credit bureau and speciality telco data, previous contact history data, and socio-demographic data. All of these combine to build a holistic, comprehensive view of a delinquent customer, as outlined in the seven components we described.

  • On-us behavioral data includes the customer’s payment history, delinquency history, and returned checks, among other attributes.
  • Off-us behavioral data involves third-party data sources that provide insights into a customer’s financial obligations and commitments, as well as updates on their behavior based on almost real-time updates.
  • Previous contact history data is critical in learning from previous collection contact attempts and modifying the treatment approach accordingly.
  • Socio-demographic data can be used to build customer profiles to assist in selecting the appropriate channel of communication.

Leveraging these various data sources and applying advanced analytics such as random forest or XGBoost machine learning techniques to predict behavior, propose settlement amounts, and to gauge time and channel preferences allows collection teams to build a more targeted, personalized approach to collections, based on customer preferences and circumstances.

Making a significant departure from more traditional, legacy processes (which often rely on core static classifications such as days past due or single risk scores), this new approach highlights a more modern, individualized way of ensuring efficient, effective collections strategies. By evolving beyond logistic regression and decision trees to next-generation collections models that lean on machine learning (which learns from previous nodes within its model construct), the final customer treatment is much more personalized, focused on outcomes and response propensity.

Looking for an assessment of your own risk decisioning strategies for collections?

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