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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.

Discover how Provenir’s AI-Powered Decisioning Platform can promote more responsible lending.

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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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Round-up: Top Organizations Leading in Embedded Finance

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Round-up: Top Organizations Leading in Embedded Finance

How these tech pioneers are seamlessly integrating financial services into everyday platforms

Embedded finance has quickly emerged as a game-changer in the industry, with a predicted global market size of $348.8 billion by 2029, at a growth rate of 30% CAGR from 2023-2029. By seamlessly integrating financial services into non-financial platforms, companies are able to streamline operations and enhance the customer experience, creating frictionless journeys and improving customer loyalty and retention. Major players are on both sides of the fence – both those successfully weaving financial services directly into their core offerings, and those supporting this wave of tech innovation with cutting-edge solutions and APIs that empower embedded financial services. We’re looking at both – how these industry leaders are dominating the embedded finance area and the crucial role their tech partners play in making this integration happen.

  • aliexpress
    Based in Asia, this online eCommerce platform brings together a ton of small producers who sell everything from clothing and accessories to electronics and sporting goods. Originally created by the Alibaba group over a decade ago, the website operates similarly to Amazon, but doesn’t produce anything of its own – instead its platform is a showcase for others, bringing a number of products into one site and facilitating easy payment options.
  • booksy
    Originally founded in Poland and now available worldwide, Booksy is a leading appointment management platform for wellness/beauty/health providers, allowing customers to book local appointments for haircuts, massages, and aesthetic services. With the integration of Stripe, they were able to embed payment processing directly into their app, including an omnichannel solution that allows Booksy merchants to collect payments in person, within the app, or at the time of booking, ensuring seamless payment experiences for customers.
  • uber
    The world’s favorite ride-share app, Uber offers in-app payments, ride insurance (to protect both riders and drivers), and instant drive payouts, ensuring a seamless payment experience for riders and immediate access to earnings for drivers. They’ve also expanded to offer food delivery options, as well as a variety of different ride types to appeal to a wider range of customers.
  • amazon
    The undisputed gold standard of eCommerce is Amazon, offering embedded finance in a variety of ways, including payment, lending, and Buy Now, Pay Later options. With integrated payment and finance options across a variety of global sites and sellers, Amazon enhances customer convenience and supports its wide range of sellers with quick financing and access to funds.
  • shopify
    Canadian success story Shopify simplifies payment processing for merchants in a variety of industries, offering them quick access to funding and financial management tools. Now a multinational organization with embedded offerings available on their proprietary eCommerce platform, their solutions include a variety of types of products that focus on everything from online storefronts and point of sale options, to returns management, shipping, order fulfillment, B2B, and financial management.
  • apple
    A name recognizable to the entire world, Apple is one of the pioneers of embedded financing, making Apple Pay a widely used option for everyone (read, millions and millions of people) who owns iPhones. With Apple Pay, Apple Card, and Apple Cash, they’ve integrated secure and convenient payment options directly into Apple devices (including watches), offering a frictionless payment experience for users.
  • starbucks
    The Starbucks app, which began as a way to improve customer loyalty by allowing users to earn rewards points on purchases, has quickly morphed into an extremely convenient rewards/payment system. You can reload funds to your mobile card at the click of a button, pay in-app for purchases, order ahead, earn rewards points, and then redeem them seamlessly, enhancing customer loyalty and ensuring a positive experience end-to-end for customers.
  • stripe
    An American multinational financial services company, Stripe offers a comprehensive suite of payment processing APIs and financial infrastructure for businesses, enabling organizations of all sizes to easily integrate payment services into their platforms. With millions of customers worldwide, including well-known brands like Marriott, BMW, and WhatsApp, their fully integrated payments products are used to optimize checkout conversion and launch new business models effortlessly.
  • plaid
    Similar to Stripe, Plaid works behind the scenes of some of your favorite brands, providing APIs for secure access to financial data and services that enable seamless connections between financial services and apps. Based in the U.S. but operating in a number of countries across North America and Europe, Plaid enables consumer apps to effortlessly connect with users’ bank accounts in a secure way.
  • marqeta
    Providing card issuing and payment processing technology, Marqeta is used by industry leaders in a variety of use cases, including on-demand delivery, expense management, retail, and digital banking. By enabling companies to create customized payment cards and solutions, they facilitate embedded financial services for their customers to allow them to deliver exceptional, brand-elevating customer card experiences.
  • walnut
    Providing seamless payment options for insurance premiums, along with instant, personalized insurance quotes and policy management through its online platform, Walnut Insurance is a prime example of embedded finance in the insurance industry. They offer value-added services that go beyond traditional insurance, including wellness benefits and services like access to mental health resources, directly into their platform, exemplifying the innovative use of embedded finance.
  • balance
    A platform focused on B2B trade platforms, distributors, and brands across the B2B supply chain, Balance powers the entire transaction lifecycle, with software and APIs that allow merchants and marketplaces to accept business payments, optimize AR, and extend trade credit. By focusing entirely on B2B, they’ve built a platform that incorporates all aspects of financing and payment processing to enable innovation and growth for their customers.
  • grab
    Southeast Asia’s leading superapp, Grab provides everyday services including deliveries, hotel bookings, gift cards, and ridesharing, while also embedding financial services like payments, insurance, and micro-lending. With a goal to enhance customer convenience and drive engagement, they offer services for consumers, drivers, merchants, and even enterprises – driving economic empowerment for everyone in the region.
  • mercado pago
    Based in Argentina and boasting one of the largest user bases in Latin America, Mercado Pago enhances eCommerce by integrating financial services that support seamless transactions and provide credit options to both buyers and sellers, including digital wallet, payment processing, and financing plans.
  • synchrony
    In part an online marketplace, Synchrony allows you to find deals on whatever your heart desires, and then provides you with various ways to pay, including credit cards, personalized financing offers, and Buy Now, Pay Later plans. They also offer individualized banking plans and products, financial solutions for businesses, and even healthcare financing for you, your family and your furry friends.

Companies across the globe are leading the charge in embedding finance into their services, transforming customer experiences, and driving growth. These examples (among many!) demonstrate the immense potential of embedded finance to streamline operations, enhance customer satisfaction and loyalty, and open new revenue streams. For those looking to explore embedded financing options, Provenir’s AI-powered risk decisioning solutions can enable you to integrate financial services seamlessly, manage risk effectively across the lifecycle, and deliver exceptional value to your customers.

Want more info on how Provenir can power your embedded finance journey?

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Embedded Finance: Enabling Seamless Financial Services

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Embedded Finance: Enabling Seamless Financial Services

Unlocking new opportunities and enhancing the customer experience
Embedded finance has been changing the way financial services are delivered, integrating them directly into everyday consumer activities. Imagine securing a loan directly from your favorite online store, or getting trip insurance coverage while booking a vacation. Many of us have utilized embedded finance services without ever having had a name for it. As more businesses adopt these integrated solutions, the potential for improved customer satisfaction, loyalty, and retention is significant – not to mention new revenue streams. We’re looking at the benefits, challenges, and future opportunities of embedded finance, offering you insights into how to leverage this trend for an enhanced competitive edge and a way to provide exceptional value to your customers.

The Power and Potential of Embedded Finance

Embedded finance, referring to the integration of financial services into non-financial platforms, is enabling businesses to offer banking, lending, insurance, and payment services directly within their existing products, whether those are applications, websites or other platforms. The trend is gaining traction rapidly, in part due to its ability to create more cohesive, seamless user experiences and streamline financial transactions. The value of embedded finance in 2022 reached $66.8 billion, but estimates put that figure at $622.9 billion by 2032, highlighting how it’s poised to become a dominant force in the industry. This growth is driven by the increasing demand for convenience and the desire for businesses to differentiate themselves in a competitive market by integrating innovative financial solutions. Companies across various sectors, from travel to retail and everything in between, are recognizing the value of creating super-apps or platforms that incorporate a variety of types of services (including financial) to enhance customer loyalty and create new revenue streams.

Uber and Shopify are just two big-name examples of organizations already leveraging embedded finance to enhance their services. Uber, the ride-sharing titan, offers instant payments to drivers, while Shopfiy allows for merchant cash advances and payment processing right in its proprietary platform. Likewise, retail giant Amazon offers its customers buy now, pay later (payment in installments) services right at checkout, and Tesla offers its car buyers insurance options, streamlining the process of getting coverage for their new vehicles. So why is embedded finance so popular?

Unpacking the Benefits of Embedded Finance

There’s a ton of benefits that embedded finance can offer to enhance your business operations and the experiences of your customers. Let’s take a closer look.

1. Flexibility
  • Adaptive Solutions: Embedded finance providers highly flexible financial solutions tailored to meet the specific needs of your customers. For example, you can offer customized lending products based on individual customer profiles, which can be seamlessly integrated into the purchases process. Adaptability like this ensures that financial services are more accessible and highly relevant to each individual customer, enhancing their overall experience.
  • Real-Time Access: A standout feature is the provision of real-time access to financial services. Your customers can instantly access loans, make payments, or secure necessary insurance without the delays associated with more traditional banking processes. This immediacy improves customer satisfaction while also increasing the likelihood of customers completing transactions and reducing cart abandonment.
2. Competitive Edge
  • Market Differentiation: In a crowded space, embedded finance is proving to be a key differentiator. Offering integrated financial services allows you to stand out from the competition, and provides you an edge over those who don’t.
  • Increased Revenue Streams: Open up new avenues for revenue generation with the integration of financial services like payment processing, lending, and insurance.
3. Enhanced Customer Experience
  • Seamless Integration: Simplify the user journey by integrating financial services into everyday customer interactions. Without having to leave an app or website to complete a financial transaction, your customers will enjoy smoother, more convenient experiences.
  • Personalization: Embedded finance allows for a higher degree of personalization, with financial services tailored based on customer data and behavior – and ensuring more relevant and appealing offers (i.e. a fitness app could offer personalized health insurance plans based on user activity levels).
Embedded finance is fundamentally changing the way businesses interact with their customers, offering unparalleled flexibility, competitive advantages, and enhanced user experiences. By embracing this trend, companies can not only meet the evolving needs of their customers but also unlock new growth opportunities.

Implementing Embedded Finance Offerings: A Step-by-Step Guide

So you’re ready to dive into the world of embedded finance and reap its numerous benefits… now what? Here are some tips to help you navigate the implementation process, from assessing business needs to choosing the right technology partner and executing a seamless integration.
Step 1: Assess Your Business Needs
  • Market Research: Conduct thorough market research to understand what exactly your customers need and what the market demands. Do your customers need more flexible payment options? Faster access to loans or insurance? Identifying precise needs will help you tailor your embedded finance offerings more effectively.
  • Internal Assessment: Take a close look at the existing capabilities you have within your business. What financial services do you already offer and what are the gaps? Conducting an internal analysis will help you determine what additional resources or technologies you need in order to successfully implement your embedded finance offering. Make sure you’re aware of strengths and weaknesses to create a more robust integration plan.
  • Define Objectives: Clearly outline what you aim to achieve with your embedded finance implementation, such as increased sales or improved customer retention.
Step 2: Choose the Right Technology Partner(s)
  • Determine Criteria for Selection: Selecting the right technology partner to set you on your embedded finance path is critical. Consider factors like:
  • Scalability: Ensure the decisioning platform you choose can grow with your business and handle increasing volumes or added complexity.
  • Security: Choose a partner with strong security measures and robust data privacy to protect customer data and financial transactions.
  • Integration Capabilities: The technology should easily integrate with your existing systems and platforms.
  • Case Studies: Look at previous examples of successful embedded finance partnerships – can your chosen tech partner offer the same seamless integration and robust experience for your customers?
Step 3: Implement Your Embedded Finance Plan
  • Develop a Roadmap: Create a detailed roadmap outlining each phase of the implementation process, including timelines, key milestones, and resources required.
  • Build a Pilot Program: Start with a pilot program to test the integration on a smaller scale and gather feedback.
  • Full Integration: Roll out the solution across your entire platform, ensuring all systems are integrated and functioning smoothly.
  • Monitor and Optimize: Continuously monitor the performance of your embedded finance offerings and make necessary adjustments to optimize the experience.

Tackling Embedded Finance Hurdles

Yes, the benefits of embedded finance are substantial. But that doesn’t mean it doesn’t come with its own set of challenges. Here are some common hurdles and the strategies to overcome them.
  • Regulatory Compliance: Navigating the complex landscape of financial regulations is most definitely daunting. Different countries and regions have varying rules and regulations governing financial services, all of which can impact how you implement and maintain embedded finance. Ensuring compliance is essential to avoiding legal issues and potential fines.

    • Stay Informed: Keep up-to-date with the latest financial regulations in the regions you operate in and be sure to engage with legal experts to understand all of the implications for your business.
    • Develop Compliance Programs: Implement comprehensive compliance programs to ensure all of your financial activities adequately meet regulatory requirements, and conduct regulator reviews and audits to maintain compliance.
    • Partner With Experts: Collaborate with financial services providers who have a strong understanding of the regulatory landscape in your region so you can navigate complex regulations more effectively.
  • Technological Integration: Integrating financial services into your existing systems can be technically challenging, requiring robust IT infrastructure, seamless data flows, and compatibility with your current platforms. And ensuring data security during integration is critical for protecting sensitive customer information.

    • Ensure Robust Infrastructure: Invest in a robust IT infrastructure that can handle the integration of financial services. This includes everything from scalable servers and secure data storage to reliable network systems.
    • Utilize API Integration: Use APIs (Application Programming Interfaces) for seamless integrations. APIs can facilitate data exchanges between your systems and financial services providers, ensuring smooth operations for your customers.
    • Implement Proper Security Measures: Utilize advanced security measures, including encryption, two-factor authentication, and regular security audits to adequately protect customer data both during and after the integration process.
  • Customer Trust: Building and maintaining the trust and loyalty of your customers is critical when you’re offering financial services of any kind. Customers need to feel confident that their data (including identity, account numbers, and transactional data) is secure and that services provided are reliable. Any incidents that breach this trust can have severe repercussions for your brand (and your bottom line).

    • Be Transparent: Be upfront and straightforward with your customers about how their data is used and the measures you have in place to protect it.
    • Provide Customer Support: Ensure you have robust customer support in place to address any concerns or issues your customers may have regarding your embedded services.
    • Perform Quality Assurance: Regularly test and update your financial services to ensure they remain reliable and secure. High-quality service delivery enhances customer trust and satisfaction.
Implementing embedded finance can transform your business, but it’s crucial to address any potential challenges head-on – and preferably before they pop up! Stay informed, invest in the right tech, and build trust with your customers so you can navigate these obstacles with ease and ensure a successful embedded finance integration.

The Future of Embedded Finance: What Lies Ahead?

As embedded finance offerings (and the tech behind them) continues to grow, the impact on various industries are becoming more profound – with trends surrounding embedded finance shifting, use cases evolving, and long-term benefits emerging.
  • Increased Use of AI: AI can enhance financial services by providing more personalized and efficient solutions, with everything from AI-driven chatbots offering instant customer support and machine learning algorithms that can analyze user to data to offer customized financial products. This level of personalization and rapid response improves customer satisfaction and engagement.
  • Expansion Into New Sectors: Embedded finance has been well-established in sectors like retail and transportation, but that’s only the beginning. Industries including healthcare, education, and real estate are exploring the potential of embedded finance solutions. Healthcare providers could offer financing options for medical treatments directly within their platforms, or educational institutions could integrate payment plans for tuition.
  • Smart Contracts: Self-executing contracts with the terms directly written into the code could make embedded finance even more accessible – automating transactions and reducing the need for intermediaries, making processes faster and more cost-effective. In real estate for example, smart contracts could help automate property sales, ensuring that all conditions are met before the transaction is completed – increasing efficiency and improving fraud screening.
  • Decentralized Finance (DeFI): By leveraging blockchain technology, DeFi enables financial transactions without traditional intermediaries like banks, leading to more decentralized and democratized financial services. This could enable peer-to-peer lending platforms to become more prevalent, allowing individuals to lend and borrow directly from each other, with embedded finance seamlessly facilitating these transactions.
  • Sustainable Growth: Organizations that adopt embedded finance can look forward to sustainable business growth. By integrating financial services, you can create new revenue streams and enhance loyalty of your customers. And offering financing options at the point of sale increases conversion rates and average transaction values, leading to higher revenues overall.
  • Enhanced Customer Loyalty: The convenience and personalization offered by embedded finance can significantly enhance customer loyalty. Access to tailored financial solutions, easily and securely, means your customers are more likely to return and recommend your services to others, resulting in a strong customer base and competitive advantage in the market.
  • Operational Efficiency: Automating various financial processes allows you to streamline operations, reducing the need for manual intervention, minimizing errors, and speeding up transaction times – leading to lower operational costs and greater efficiency. And reducing the time and resources spent on managing things that are now automated means more focus on core activities or strategic innovation.
Emerging trends and new innovations are set to further enhance the impact of embedded finance, making the future runway of opportunity long and bright. The benefits of embedded finance are clear (sustainable growth, improved customer loyalty, greater operational efficiency) – now all you need to do is ensure you have the right technology partners along for the ride.

Want details on how an all-in-one decisioning platform can enable your embedded finance offering?

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Tackling Tech Bloat: Slimming Down to Boost Efficiency, Security, and Innovation

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Tackling Tech Bloat: Slimming Down to Boost Efficiency, Security, and Innovation

How Major Banks and Large Financial Services Providers can Streamline their Tech Systems
Today’s technology can be both a vital enabler to progress and growth, and also a potential hindrance to efficiency. With the accumulation of outdated, redundant, or overly complex tech systems, larger financial institutions, including major banks, are feeling the pressures of tech bloat. And just like any other bloating, tech bloat is uncomfortable – hampering efficiency, escalating costs, and stifling innovation – which makes it a critical issue to address. For larger banks in particular, the urgency to streamline tech infrastructure has never been greater. With an increasingly competitive (and much more highly regulated) environment for financial services providers, eliminating tech bloat is essential to enhancing your overall operational efficiency, improving your security, and enabling your ability to remain agile.

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According to a 2023 survey by MuleSoft and Deloitte, large enterprises now use an average of more than a thousand applications across their organization.

So what exactly is tech bloat, and how can you slim down your stack? Read on to find out more.

The Silent Saboteur: Understanding Tech Bloat in Financial Services

Referring to the excessive accumulation of outdated, redundant, or highly complex tech systems that weigh down an organization, tech bloat in financial services is becoming increasingly common. This phenomenon stems from a variety of causes, but the biggest tends to be an abundance of legacy systems that have been patched and repurposed over the years. Of course many financial services providers require very specific needs to be addressed (including everything from core banking systems and risk assessment models, to cybersecurity software, workflow automation, customer relationship management, financial planning and forecasting, data sources, fraud and identity management, loan origination software, and payment processing). As the list of needs (and related tech) grows with your organization, so does the bloat.

But many of the software solutions you have will overlap in functionality, leading to inefficiencies in both operation and cost. A survey by Freshworks shared that “54% of IT professionals say their organization pays for software” that never gets used. And often these systems are not integrated with each other very well, creating numerous silos of information, complicating workflows, and making data access tricky. Not to mention the fact that extensive customizations and add-ons over the years, while useful at first, can quickly turn into burdens, limiting flexibility and making maintenance and updates difficult. And of course those updates are critical, because with constant regulatory shifts, financial institutions do regularly need to update their systems, which can result in a quickly tangled web of temporary fixes that, you guessed it, add more bloat (not to mention leave you more vulnerable to everything from data breaches to lapses in compliance).

Unveiling the Not-so-Hidden Consequences of Tech Bloat
Now that we’ve looked at what it is and how it starts… What impact does tech bloat really have on day-to-day operations? As it turns out, a lot – and those effects get compounded the longer your bloat hangs on.
Financial Implications: First and foremost, tech bloat significantly strains your financial resources. Maintaining and supporting any number of redundant systems is, well, redundant, leading to increasing operational and maintenance costs. And outdated systems tend to consume a disproportionate share of your budget, diverting necessary funds away from more strategic, growth-focused investments, and hampering your ability to invest in more innovative, efficient solutions.

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According to Freshworks, “the cost of trying to use unhelpful technology amounts to more than $84B annually in wasted time in the US alone, or $10M every hour of every day.”

  • Operational Inefficiency: A bloated tech environment slows down business processes and complicates workflows, with legacy systems and overlapping solutions creating bottlenecks. This inefficiency affects day-to-day operations, but also has a compounding effect the longer it continues, leading to longer turnaround times and a lack of flexibility and agility in your operations, ultimately adding friction to customer experiences.
  • Risk and Compliance Challenges: The more outdated systems you have to manage, the more the risk of errors, data inconsistencies, and compliance misfires increases. All financial services providers must adhere to stringent regulatory requirements, and the more bloated your organization, the more challenging it is to ensure compliance, leading to potential fines and reputational damage.
  • Security Vulnerabilities: Along the lines of compliance struggles, outdated systems are often easier prey for cyber attackers. The complexity of a bloated tech environment makes it much more difficult to implement robust security measures effectively, leaving you open to targeting by cybercriminals. Any breach (data, compliance, ransomware) can have severe consequences, including financial losses and significant damage to customer trust.
  • Innovation Roadblocks: Want a surefire way to stifle innovation? Maintaining and integrating multiple tech systems makes it extremely challenging to adopt new technologies, even if those technologies are ones you really, really want to utilize. In an industry where agility, flexibility, and continuous innovation are required to stay competitive, this hindrance to tech advancement places larger, more complex financial services organizations at a distinct disadvantage – making it difficult to explore new opportunities and deliver cutting-edge solutions to your customers.

Any of these consequences should be enough to address your tech bloat problem, but put them all together and you can see it’s not just about security or reducing operational costs – it’s fundamental to unlocking your potential for sustained innovation and sustainable growth. Streamlining your tech infrastructure allows you to overcome these challenges and position yourself for future success and customer loyalty.

Case Study:
Reducing Tech Bloat

Consider the case of Provenir customer NewDay. Some of their existing systems were proving costly in terms of release times and updates, and were due for decommissioning. By implementing more holistic risk decisioning software, they were able to significantly reduce processing time and improve quote response times.

  • Sub-1

    second decisioning processing time

  • 99.95%

    SLA for availability

  • 80%

    improvement in speed of change

  • 2.5x

    faster quote response

Winning the War on Tech Bloat: Strategies for Financial Institutions
So what can you do to streamline your operations and slim down for good? It sounds daunting, but what it really requires is a strategic, methodical approach (and the right technology partner).
1. Conduct a Technology Audit:
  • Identify Redundant and Outdated Systems: Thoroughly review all of your existing systems to pinpoint which ones are outdated, redundant, or no longer serve a critical function
  • Assess Integration and Interoperability: Evaluate how well your current systems integrate and communicate with each other, identifying gaps and inefficiencies
2. Streamline and Consolidate:
  • Prioritize Critical Systems: Determine which systems are essential for your core operations and focus on maintaining and enhancing those first
  • Phase Out or Replace Redundant Solutions: Gradually eliminate or replace systems that are no longer necessary or that duplicate functionality
3. Invest in Modern, Integrated Solutions:
  • Adopt Cloud-Based Platforms: Leverage cloud technology to improve scalability, flexibility, and cost-efficiency
  • Emphasize Integrations and Scalability: Invest in solutions that can easily integrate with your existing systems and scale as you grow (or can scale as you continue to eliminate other existing systems)
4. Enhance Data Management and Governance:
  • Centralize Data Repositories: Consolidate your data into centralized repositories to ensure consistency, accessibility, and security
  • Implement Robust Data Governance Frameworks: Establish strong data governance practices to manage your data quality, privacy, and compliance
5. Foster a Culture of Continuous Improvement:
  • Encourage Innovation and Flexibility: Promote a mindset that embraces new technologies and innovative solutions
  • Regularly Review and Update Technology Strategy: Continuously assess and update your technology strategy to align with evolving business needs and tech advancements in the industry
6. Partner with the Right Tech Providers:
  • Collaborate with Established Decisioning Software Companies and Consultants: Engage with tech firms and consultants to leverage their expertise and innovative solutions (and be sure they have experience with legacy migrations, complex integrations, and reducing tech bloat)
  • Leverage Industry Expertise to Guide Transformation: Utilize the knowledge and experience of industry experts to navigate the complexities of technology transformation (i.e. does your new tech provider have an experienced Professional Services team that can help guide you?)
Fighting off Future Bloat
Now that you’ve slimmed your stack, how can you ensure that your tech bloat doesn’t return with a vengeance? Adopt a forward-thinking, agile approach. Agile methodologies are crucial, as they promote flexibility in technology development and deployment, allowing you to adapt quickly to changing consumer/industry needs and emerging industry trends. Agile methods encourage iterative improvements, which can help ensure that all of your systems remain both current and effective. Which is also why it’s critical to stay aware (and ahead) of tech advances in the industry. Keeping up with cutting-edge solutions and tech advancements allows you to proactively enhance efficiency and the customer experience. Look towards building a sustainable technology roadmap; with long-term planning that focuses on scalability and adaptability, you’ll ensure that your tech infrastructure can grow and evolve with the organization. Prioritizing this flexibility and continuous improvement and innovation will help you safeguard against tech bloat and maintain a streamlined, efficient, customer-centric tech environment.
Provenir’s AI-Powered Decisioning Platform

Part of fighting the bloat battle is selecting the right technology partner – one that can enable flexibility, scalability, and an end-to-end decisioning platform that you can build and grow your business on. Provenir’s AI-Powered Decisioning Platform brings together the key capabilities you need to turn decisioning into a differentiator, allowing you to deploy accurate, fully automated risk decisioning across the lifecycle, while also gaining actionable insights to optimize strategies and enhance performance across the entire organization. Featuring solutions for data, decisioning, case management, and decision intelligence, across onboarding, fraud & identity management, customer management and collections, Provenir’s platform is a one-stop solution that eliminates silos, brings teams together, and enables sustainable, customer-centric growth.

Want more info on how Provenir’s dedicated team of Principal Consultants and Professional Services experts can help you reduce tech bloat in your organization?

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Finance Forward: 10 Breakthrough Innovations Reshaping The Future of Financial Services

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Finance Forward: 10 Breakthrough Innovations Reshaping The Future of Financial Services

Explore how cutting-edge tech will redefine the industry
The past twenty years have seen incredible advancements in technology of all sorts (do we even remember life before the smartphone?) – and the world of financial services is no exception. But innovation is far from over. The financial sector stands on the edge of even more cutting-edge technology, with increasingly sophisticated tech emerging that will enhance decisioning accuracy, improve operational efficiency, and ensure maximum customer satisfaction and engagement. What’s ahead for financial services providers? While it’s impossible to predict exactly what the next twenty years will look like, we’re looking forward to what may be in store in the near future, based on the tech innovations and market-shaping forces in play today.

1. Evolution in Ways to Pay, Borrow, Lend and More

There’s a variety of tech advancements on the horizon that could reshape how we pay for things, how we borrow money, and the landscape of financial services and products in general.
Some of these include:
  • Biometric Payments

    Payments authenticated through biometric data including fingerprints, facial recognition, or retinal scans, enabling a seamless (and secure!) way to pay
  • Voice-activated Payments

    Payments initiated through voice commands via smart speakers or other voice-enabled devices, greatly enhancing convenience for users
  • Invisible Payments

    This includes transactions that occur automatically in the background (one level up from our automated payments for subscriptions for example), with IoT-enabled purchases that reduce friction
  • Peer-to-Peer (P2P) Lending

    These lending platforms will continue to evolve, using blockchain for transparency and security
  • On-Demand Loans

    Instant, micro-loans available on-demand via mobile apps, tailored to individual needs with flexible repayment terms
  • Tokenized Assets

    Tokenization of real-life assets (i.e. real estate, art) enabling fractional ownership and lending, and providing investors with new opportunities

The connected vehicle payments market could reach $600 billion by 2030.

2. The AI and Machine Learning Revolution

Already integral to processing large datasets, ongoing advancements in artificial intelligence (AI) and machine learning (ML) are set to continue to redefine risk decisioning and the entire user experience. Future algorithms will leverage advanced neural networks and deep learning to enable near-real-time decision-making by not only analyzing complex variables (including behavioral patterns and unstructured data), but also predicting results with uncanny accuracy. These advancements in intelligence will also further enhance personalization possibilities, facilitating the shift from static to dynamic risk assessment and accommodating for life changes and real-time behavior – greatly increasing the inclusivity and fairness of financial services offerings (and the customer experience!) along the way. Advanced analytics will also help financial services providers understand on a more granular level how people are using products, enabling you to make improvements, track the customer journey, and interaction points. Likewise, AI enables us to break down silos across different datasets, understand consumer behavior much more dynamically across different systems – and allow you to tailor new products and services accordingly. The applications when it comes to financial services are endless, including AI-driven financial advisors that can provide highly personalized financial planning and wealth management services, tailored to individual goals and behaviors.

As we’re already witnessing, Generative AI will continue to have a massive impact. It is certainly making life easier in many ways (chat bots, personalized email and marketing campaigns, dynamic customer management, etc.), but it will also mean greater ease in testing products and models as new data sets are generated (which used to take an incredible amount of time when done manually). Generative AI could also help test different use cases for products and UAT testing (which is traditionally very difficult and time consuming). We can also use Generative AI to translate videos and documents in real-time, or even do live translations in meetings, increasing the serviceable markets of financial services providers who may have previously been limited by language or region.

AI in Banking market was worth $6794.27 million USD in 2023, and is expected to reach $36765.29 million USD by 2023 (CAGR of 32.5%)

3. Quantum Computing: The New Frontier

Quantum computing promises to fundamentally change the capacity to process information by performing calculations at speeds unattainable by traditional computers, enabling the ability to execute complex risk simulations and fraud decisioning and detection algorithms. This speed enables quicker, and more informed risk decisoning for financial services providers. Quantum algorithms could simulate market reactions to economic events or stress test financial portfolios under a variety of conditions, providing insights at a speed and scale that just isn’t possible with today’s computation methods.

Globally, the financial services industry’s spending on quantum computing capabilities is expected to grow 233x from just US$80 million in 2022 to US$19 billion in 2032, growing at a 10-year CAGR of 72%

4. Blockchain and Decentralized Finance (DeFI)

Offering a decentralized and secure platform that can transform traditional banking infrastructure, credit approvals, and monitoring systems, blockchain technology can make big waves in risk decisioning, with advancements in peer-to-peer lending, smart contracts, and fraud screening measures. With transparent and fixed record-keeping, the technology can streamline processes and reduce operational costs, automating credit decisioning and other transactional processes. And with blockhain’s inherent transparency, the reliability of financial data is improved, greatly enhancing fraud and identity management. When it comes to the increasingly important aspect of identity verification, blockchain can also be useful – enabling Self-Soverign Identity (SSI) and Decentralized Identifiers (DIDs). SSIs allow individuals to own and control their own digital identities, stored on a blockchain for maximum privacy and security, while DIDs use unique, blockchain-based identifiers that can be verified across different platforms without exposing personal data.

5. Rise of Central and Digital Bank Currencies

The potential adoption of digital currencies, including those issued by central banks (CBDCs) could dramatically alter the financial services landscape. Impacting how credit is managed and issued, these digital currencies offer new mechanisms for transparency and efficiency in financial transactions, with faster transaction times, reduced costs, and improved access to financial services, especially in underbanked/underserved communities. When it comes to risk decisioning, digital currencies can provide more streamlined and integrated data flows, enabling better tracking of financial behavior and transaction histories, ensuring more accurate risk assessments.

134 countries and currency unions, representing 98% of global GDP, are exploring a CBDC

6. Integrating IoT into Banking

The integration of the Internet of Things (IoT) in banking could provide continuous data streams to credit risk models, offering real-time insights into a potential borrower’s financial activities and habits, and ensuring more dynamic (and accurate) credit risk decisioning and lower default rates. For instance, data from smart home devices could inform lenders about a customer’s energy consumption patterns, which might correlate with financial stability or risk levels. This level of integration can lead to even more personalized risk assessments, potentially improving credit access and inclusion while mitigating risks for lenders.

IoT In Banking And Financial Services Market size is projected to reach USD $30925 Million by 2030, growing at a CAGR of 50.10% from 2023 to 2030.

7. Cybersecurity: Staying Ahead of Threats

With increased reliance on digital technologies comes increased cybersecurity risks. Robust security measures are critical, and future developments will include predictive and proactive security strategies to safeguard against continuously evolving cyber threats. The financial services industry’s vulnerability continues to grow, requiring innovative tech for protection like AI-driven threat detection systems that can predict and neutralize threats before they do damage. Proactive cybersecurity will become a critical component of risk management, ensuring that both customer data and financial assets are adequately protected. Advanced cryptography can also help with data security, including zero-knowledge proofs (allowing users to prove identity without revealing personal info, greatly enhancing data privacy and security), and homomorphic encryption, which encrypts data in a way that allows computations to be performed without decrypting.

Financial institutions are the second most impacted sector based on the number of reported data breaches; ransomware attacks on financial services increased from 55% in 2022 to 64% in 2023.

8. Sustainable and Social Impact Lending

Environmental and social governance (ESG) is a hot-button topic across industries, and can greatly affect financial services providers. Risk decisioning models will need to reflect the growing consumer and regulatory demand for responsible lending and banking practices, and could even influence the overall strategy of financial institutions towards more sustainable and socially responsible operations. With a rise in conscious consumerism and corporate responsibility driving the integration of ESG into financial decision making, lenders can use ESG scores alongside traditional metrics to assess credit and fraud risk. This approach aligns with global sustainability goals but also greatly appeals to a growing number of consumers (and investors) who place high value on organizations that prioritize ethical considerations in their operations.

Global sustainable finance product issuance totalled $717 billion in the first half of 2023.

9. The Impact of Regulatory and Ethical Developments

As technological capabilities expand, so does the scrutiny around their implications. AI and advanced data analytics in particular will require the need for robust regulatory frameworks to ensure these technologies are used ethically and responsibly – including data privacy, preventing bias in AI algorithms, and maintaining transparency and explainability in AI-driven decisions. Financial services providers will need to navigate a world where regulatory compliance is about much more than just following laws, but also about maintaining ethical standards and ensuring ongoing public trust, especially in decisions that affect individual creditworthiness and privacy.

By the end of 2024, Gartner predicts 75% of the global population will have its personal data protected by modern privacy regulations.

10. Identity Verification

The most critical aspect of offering loans or any other financial service is determining who you are dealing with and what the risk is. The way we identified individuals and their potential risk two decades ago was monumentally different than where we are today, and in the future this process promises to be even more seamless – and all-encompassing. We can expect even more dynamic verification codes to reduce the risk of fraud, highly-accurate DNA-based identification, genetic markers to be added to biometric identification systems, and more inclusive/accessible verification solutions that adhere to yet-to-be-established global standards for digital identity. Also possible are multimodal biometrics, combining multiple identifiers including behavior (typing patterns, mouse movements, gait) to continuously verify identity in real-time. Likewise, we can use wearable devices like smart watches and fitness trackers, as well as smart environment interactions (connected devices including smart homes, cars and workplaces) to verify identity, potentially reducing friction in the process.

Western Europe and Asia Pacific will potentially account for 50% of digital ID verification spend by 2028.

Future Innovation and The Customer Experience

Technology has always had the power to drive significant change in all aspects of society, and future tech advancements will continue to alter how financial institutions operate and interact with their customers. A common theme running through all of these innovations is the ability to personalize products and offerings, highlighting the extreme importance of the customer experience. A prime example of this is dynamic, responsive onboarding – where financial services providers are tailoring the onboarding experience to individual customers by matching data checks (including identity verification, AML, KYC, and more) to the event risk and the responses of the customer. Depending on the consumer’s answers in an application, the actual application itself will change dynamically – populating additional responses required or minimizing friction with fewer questions if lower risk is determined.

Today’s consumers will no longer stand for long wait times, inadequate customer service, and mass-marketed products. Instead, a competitive edge requires rapid response times, omnichannel offerings, customized products, and frictionless experiences – all enabled by automated, real-time decisioning.

But the concept of ‘decisioning’ itself will also evolve. Currently financial services providers utilize specific triggers that result in a decision being made, whether that’s from the end-consumer applying for a product, or from a provider proactively analyzing data and making a decision to offer a new product. But with the increased availability of data, extremely fast processing speeds, and the enhanced use of AI to analyze data and behaviors, decisioning will become much more fluid. Rather than trigger points causing a decision, are we in for a future where decisions around customers and products/services are just continuous? Seamless? Always happening? This too will result in more hyper-personalization and a customer-centric approach in all aspects of financial services.

Done well, personalization at scale for banking customers can lead to annual revenue uplifts of 10%

As these technologies develop, Provenir continues to lead the charge, offering an advanced decision intelligence platform that is adaptable, efficient, and strategically forward-thinking. Discover why choosing Provenir is the best decision for managing risk in a technologically evolving landscape.

Ready to lead in the future of financial services?

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The Transformative Journey of Digital Banking in APAC: Growth, Challenges, and Innovations

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The Transformative Journey of Digital Banking in APAC: Growth, Challenges, and Innovations

  • Kris Emerton-Jones

Introduction

In the last five years, the Asia-Pacific (APAC) region has experienced a remarkable transformation in the banking sector, driven by the surge of digital banking. This growth reflects the region’s rapid adoption of technology and the evolving demands of its increasingly digital-savvy population. “65% of APAC customers now prefer to use digital channels to engage with their bank.”

The Growth of Digital Banking in APAC

Digital banking in APAC has witnessed exponential growth over the past half-decade due to several contributing factors. The proliferation of smartphones and affordable internet access has empowered more people to embrace digital banking. Fintech innovations, driven by startups and established financial institutions, continually develop new technologies to cater to the evolving needs of customers. Additionally, governments and regulatory bodies in the region have been proactive in creating favorable environments for digital banking. “Regulators across APAC are actively issuing digital banking licences to promote financial inclusion and competition.” Furthermore, the modern consumer’s preference for convenience, speed, and personalized services has driven banks to adopt digital risk solutions that enable instant decisioning. 

Customer Onboarding Challenges and Friction

Despite the impressive growth, digital banking faces significant challenges in customer onboarding, a critical phase where potential customers form their first impressions of the bank. Stringent Know Your Customer (KYC) requirements can make the process cumbersome and time-consuming, and . Many customers, especially in rural areas, face difficulties due to limited access to high-speed internet and digital literacy issues. A complicated or non-intuitive onboarding process can deter potential customers, and concerns about data privacy and security can lead to mistrust and abandonment.

Mitigating Friction in Customer Onboarding

To address these challenges, digital banks in APAC are implementing various strategies. They are streamlining KYC processes by utilizing advanced technologies like AI and machine learning to automate and simplify fraud and identity management. Additionally, they are enhancing user interfaces to create intuitive and user-friendly designs that guide customers seamlessly through the onboarding process. Robust customer support, including chatbots and live assistance, is provided to help users navigate technical issues. Furthermore, banks are conducting digital literacy programs to help customers understand and effectively use digital banking services.

Risk Decisioning

Effective risk decisioning is crucial for digital banks to mitigate lending fraud and ensure compliance while delivering a seamless customer experience. Credit risk management software plays a vital role by processing vast amounts of data in real-time, allowing banks to make quick, informed risk decisions, and using AI and machine learning provides predictive insights to accurately assess customer risk profiles. It’s imperative to look for a flexible and scalable solution to cater to the diverse needs of APAC banks, ensuring adherence to local and international regulatory requirements.

Conclusion

The recent growth in the digital banking sector in APAC showcases its potential. To sustain this growth, banks must improve customer onboarding and risk decisioning with innovative technology solutions that can streamline onboarding, reduce friction, and enhance risk decisions. Banks that prioritize advanced technology, frictionless customer experience, and more effective risk management will lead the future of banking in APAC.

Discover how we can help your digital banking strategy.

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Transforming Consumer Lending: How Big Retailers Like Walmart Are Changing the Game

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Transforming Consumer Lending: How Big Retailers Like Walmart Are Changing the Game

Exploring the Future of BNPL and Embedded Finance in Retail Through Innovation and Advanced Technology

The world of consumer lending has undergone significant change in recent years, and at the forefront of this evolution are big retailers like Walmart and Target. In adopting innovative lending solutions, retail giants are not only enhancing their business models but also setting new industry standards when it comes to consumer lending and technology. Tech plays a significant role in reshaping consumer lending, and strategic integration of tech for things like Buy Now, Pay Later (BNPL) and embedded financing will be key to the continued success of these corporate brands. So what are the specifics of how these global corporations are changing the shape of the industry? Read on for more details.
  • Walmart’s BNPL Initiative:

    Walmart’s integration of the BNPL program through One has dramatically reshaped consumer financing for the retailer. Their program allows customers to make purchases and pay over time with minimal hassle, significantly boosting customer engagement and sales. The flexibility offered by BNPL has made big-ticket items more accessible, and the ease of integrating it into their own systems has driven substantial growth, setting a benchmark for retailer-led lending solutions.
  • Amazon’s Consumer Lending Programs:

    Already the gold standard for online shopping, Amazon has further shifted how consumers approach online shopping with their installment payment options. By providing flexible payment terms, Amazon is able to significantly enhance customer satisfaction and loyalty. This approach underscores the impact of tailored lending solutions in driving business growth, highlighting the potential for other retailers to adopt similar models.
  • Target’s Financial Services:

    U.S. darling Target has seamlessly integrated consumer lending into their business model, making credit more accessible to more customers. This strategy has not only driven sales but also strengthened customer relationships, illustrating the benefits of embedding lending solutions within the retail experience, and paving the way for other retailers to follow suit.
  • Overcoming Tech Integration Challenges and Ensuring a Seamless Experience

    Retailers face several technological challenges, including data security, system compatibility, and fraud screening. Successfully navigating these challenges requires strategic planning and investment in advanced technology. Risk decisioning solutions can play a crucial role in ensuring these integrations are smooth and secure, providing a solid foundation for innovative lending programs.

    Beyond the tech itself, a seamless customer experience is vital for the success of retailer-led lending (or any lending at all). This involves intuitive interfaces, quick approval processes, personalized offers, and transparent communication. Strategic technology partnerships are essential to achieving these goals, enhancing the overall customer journey and fostering long-term customer loyalty.

    But with the influx of customers and customer activity comes the data. Protecting consumer data is paramount. Not only does implementing stringent security measures build trust and loyalty among customers, but also ensures compliance with various regulatory requirements. An advanced, cloud-based risk decisioning engine can provide robust data security, safeguarding consumer information and reinforcing trust.

  • Educating the Consumer

    Retailer-led lending offers unparalleled convenience and accessibility, but educating consumers about these benefits is crucial in helping them make informed decisions and enhancing their financial well-being. Providing clear, transparent information about lending options can empower consumers and drive adoption. Make sure consumers are aware of potential risks, such as overspending and missed payments and ensure your risk strategy is promoting responsible lending practices. Promoting financial literacy through consumer education initiatives is essential – invest in resources that explain your lending programs, helping consumers understand and use these services responsibly. This not only enhances customer satisfaction but also fosters long-term loyalty.
  • Navigating the Regulatory Landscape and Future Trends in Lending

    As with all lending, retailer-led lending is subject to various regulations, including consumer protection laws and data privacy requirements. Staying informed and compliant is critical to avoiding legal issues. And this is where leveraging risk decisioning solutions can help retailers navigate regulatory complexities and ensure adherence to all compliance requirements, especially as they evolve (which they always do). With the regulatory environment continuously changing, retailers must stay ahead of potential changes by actively participating in industry discussions and advocating for favorable regulations. Monitoring regulatory trends and adapting strategies accordingly are also key to long-term success.

    The market for retailer-led lending continues to grow, with key trends including the rise of BNPL services, increased use of AI in credit and fraud risk decisioning, and expansion beyond traditional credit. These trends highlight the importance of innovative approaches and the potential for significant growth in this sector. Retailers also have numerous opportunities to tap into underserved segments, offer flexible payment options, and use data analytics to improve customer targeting. However, they must also navigate challenges such as increasing competition and regulatory scrutiny. Staying agile and adapting to changing conditions will be crucial for success (and again, this is where an integrated, holistic approach to risk decisioning can help immensely – allowing you to stay flexible and evolve with the market and consumer demands).

    AI and machine learning will continue to impact all forms of consumer lending, enabling smarter credit decisions, better fraud detection, and personalized lending offers. These technologies provide opportunities for retailers to innovate and enhance their offerings, improving the customer experience while ensuring adequate risk mitigation. Embracing innovative practices such as dynamic pricing and real-time credit scoring will further enhance the customer experience and drive business success, setting new standards for the industry.

  • What Does the Future Look Like?

    The future of retailer-led consumer lending is bright. With ongoing technological advancements and growing consumer demand for personalized, flexible payment options, big retailers are poised to lead the next wave of financial innovation. You just need the right tools to help you navigate these evolving demands successfully and ensure you can efficiently and effectively leverage technology, prioritize consumer education and experience, and navigate regulatory challenges.
What do those tools look like? Look for technology solutions that:
  • Ensure you can make accurate lending decisions in real-time: With the right data (including traditional and alternative) integrated directly into your decisioning engine, you can enable more accurate fraud orchestration and credit risk decisions and streamline onboarding for customers and new merchants alike
  • Allow you to easily adapt to regulatory changes and market evolution: Look for the ability to rapidly adjust risk strategies or launch new products with risk decisioning software that features a low-code, drag-and-drop UI to ensure self-sufficiency for business users (and avoid waiting on IT and vendors)
  • Encourage financial inclusion: BNPL is often about helping the underserved and underbanked get access to credit-like products, even without a robust credit history. Make sure your solutions offer streamlined data orchestration and embedded intelligence for accurate approvals even for those with thin-file credit history
  • Enable sustainable profitability and growth: Make sure your solutions optimize your lending strategies, fraud screening, and risk decisioning processes, so you can reduce bad rates, maximize customer lifetime value, and enable sustainable business growth.

This leading Buy Now, Pay Later provider struggled with flexibility and speed of accepting and processing applications, but with intelligent risk decisioning solutions from Provenir, they were able to improve their agility and can now make accurate decisions in real-time. Discover how.

For more in-depth information on using BNPL to ensure profitability, check out our eBook

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Three easy ways to boost access to credit

Three easy ways to boost access to credit (and skyrocket operational efficiency)

Unleash the power of Equifax alternative data and AI-powered credit risk decisioning from Provenir

There’s a lot of pressure for today’s financial services providers, as consumer debt (and delinquency rates) continue to rise. So how can you ensure easier access to credit for your creditworthy customers? In this blog from our Data Marketplace partner Equifax, they highlight how to boost operational efficiency with the one-two punch of Equifax data and Provenir’s AI-powered decisioning platform.

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10 Companies Leading the BaaS and Headless Banking Revolution

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10 Companies Leading the BaaS and Headless Banking Revolution

Enhancing the Customer Experience with Innovative Banking Solutions

With customer experience a top priority for just about every industry across the globe (and if not, it should be!), there are some organizations that clearly come out on top. When it comes to providing banking/financial products and services, there are often distinct winners in terms of  engaging customers and ensuring a streamlined, positive experience. And a lot of that comes down to innovative, cutting-edge technology. Two such models of innovation are headless banking (decoupling the front-end user interface from the back-end banking process for greater flexibility without altering underlying banking mechanism) and Banking-as-a-Service, otherwise known as BaaS (which enables non-financial companies/non-banks to offer banking/financial services by integrating with a bank’s existing regulated infrastructure through APIs). 

We’re looking at 10 companies that are using these banking models to bring customer experience, flexibility, and efficiency to the forefront of financial services. 

  • Column

    Based in the U.S., Column is a nationally chartered headless bank built to enable developers to create new financial products, including card programs, bank accounts, lending services, and debt financing. With the notion of helping finance be both customer and internet first, the company is first and foremost a software company (with a banking license!) that enables its customers to build exactly what they need without relying on outdated, agility-limiting systems.

  • Solaris

    With a BaaS platform that enables companies to build their own unique banking products, Solaris Bank, headquartered in Germany, empowers its customers to offer embedded financial services with ease. As Europe’s largest embedded finance platform and possessing a full banking license, the company features straightforward APIs that allow fully embedded digital banking services.

  • Griffin

    UK-based Griffin is known as ‘the bank you can build on,’ with simple, quick, and cost-effective solutions that allow UK companies to develop and launch their own financial products. Combining the power of a licensed bank with the flexibility of modern SaaS technology, the company is built on secure, regulated banking infrastructure but also features modern APIs for the ability to seamlessly embed financial services into tech apps.

  • Pave Bank

    One of Singapore’s tech success stories, Pave Bank is aiming to reimagine how banking is built. With regards to product design and build, they are firmly a tech company, and when it comes to risk and compliance, they are a fully regulated bank, blending the best of both worlds to ensure security and transparency combined with innovation and flexibility for safer, more integrated banking experiences.

  • Treezor

    Billed as Europe’s BaaS leader, Paris-based Treezor offers a white-label solution that allows its customers to embed financial services directly into the client experience. With a wide range of available use cases (including gift cards, restaurant cards, neobanks, and employee benefits), the company enables creative banking with a modular, one-stop-shop solution, allowing customers to outsource payment needs to their tech experts.

  • ClearBank

    Known as ‘the bank for banks,’ ClearBank doesn’t provide any services directly to consumers, but enables financial services providers, including fintechs and FCA-regulated companies, to build their own solutions and services that put customer experience and innovation at the forefront. Financial institutions use their cloud-based API to offer consumers fully regulated banking infrastructure, allowing FIs to focus on customer service instead.

  • Green Dot

    Powering the next generation in Fintech, U.S.-based Green Dot offers an integrated bank, program management, and enterprise-grade APIs in one single platform. With major customers including Walmart and Uber, Green Dot provides end-to-end infrastructure for banking programs (including branded cards, payments, and payroll and tax services) that power growth and innovation.

  • BBVA

    Far from a startup tech company, multinational banking group BBVA is now offering BaaS products via API, connecting to BBVA’s core digital banking program. Their API market enables innovation in digital transformation, in a variety of combinations of use cases and regions (including Mexico, Spain, and global versions focusing on accounts, payments, collections, loans, and more).

  • Mambu

    Headquartered in Amsterdam but servicing customers across the globe, Mambu is a SaaS cloud-banking platform that enables its clients to build innovative banking experiences for their customers, quickly and flexibly. Featuring a composable approach to banking that overcomes some of the challenges of legacy banking systems, Mambu allows customers to build exactly what they need, using only the components required, and focusing strongly on the end-consumer experience.

  • 10x

    With the belief that tech can enable real transformation for the banking industry, 10x aims to build better banks that put the customer first. With a proprietary cloud-native core banking platform, 10x offers a transformational end-to-end approach that empowers financial institutions to become agile and competitive.

There are plenty more innovative companies focusing on headless banking and BaaS, enabling truly customer-centric embedded banking and financial services. We’re keeping our eyes on where the industry is going next, but it’s clear that any organizations that offer the capabilities for integrated, frictionless customer experiences, while improving operational efficiency and flexibility, and enabling business growth, are the ones that will come out on top.

Additionally, headless banking can significantly impact your cost efficiency. By utilizing APIs to connect disparate systems and services, you can reduce the need for an extensive overhaul of the backend every time the front-end technology evolves or customer expectations change. This modular approach reduces development and maintenance costs, but also strengthens security protocols, enabling potential security breaches to be isolated and managed more effectively, and minimizing overall risk.

When it comes to regulatory compliance, headless banking offers an adaptable framework that simplifies the integration of compliance measures into both existing and new products. This flexibility is crucial for global expansion, and embracing open banking standards, allowing you to easily customize and localize your offerings to meet specific regional regulatory requirements as well as cultural preferences. The opportunity to expand your global footprint while enhancing your service delivery will help to drive business growth and customer satisfaction.

For more info on how headless banking and BaaS are transforming the industry, read the blog.

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