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Resource: Blog

Successful Digital Transformation in Financial Services

Q&A with Industry Experts

Successful Digital Transformation
in Financial Services

  • 01

    Digital transformation is critical for financial services organizations who want to thrive in our increasingly digital age. As consumers demand more and more from their financial services interactions, those organizations that don’t evolve will be left behind. But what are the keys to a successful journey?

    We recently hosted a webinar focusing on the intricacies of this transformative process, looking at key challenges and guidance for financial institutions looking towards a digitally empowered future. And from that discussion, a number of insightful audience questions were addressed – so we wanted to share some of them here with you!
  • 02

    With digital transformation came digital banking which made life easy for both consumers and would-be thieves. How can we mitigate the increasing hacking risks associated with digital  banking, from both the customer side and the bank side?

    Digitalization is increasing – and yes, so is fraud. This is where client authentication becomes so important, and truly understanding and knowing your customer is key. Device authentication for example can be critical, as well as collecting the required data to be sure we are understanding our customers without impacting the customer journey. That level of discipline needs to sit with the financial institution, without necessarily being seen or experienced by the customer. Identity theft is quite prevalent, especially in certain regions like the Nordics, so it’s critical to balance the need and desire to have strong fraud and identity management in place, without adding friction to the process for your consumers.

  • 03

    How is generative AI impacting decisioning?

    There is a potential for a large impact on decisioning with the use of generative AI tools. We’re in the early adoption stages, because from a regulatory and compliance standpoint, there is a nervousness about using these tools to push businesses forward. Institutions are risk averse, cautious, and measured in the terms of the policies they implement. Corporate governances are challenges for many banks, particularly when dealing with a variety of regional regulations. In part, it comes down to explainability. While AI tools can certainly help from a risk decisioning standpoint, and should be fully explainable in that regard, there is not enough known about the control and regulation of generative AI tools to ensure that data is being used and stored properly. Ultimately, we’re early on in this journey and they will play a fundamental role in our industry over the next few years.
  • 04

    What is the importance of being able to adjust business lending and fraud rules quickly given the rate of change in the macro-economic landscape, customer behavior and MO of fraudsters? Why are organizations, particularly in the financial services industry, struggling to keep up with these rates of change?

    Often, organizations struggle to keep up with the rate of change due to the technology infrastructure in place. Being able to make changes quickly to respond to market demands and evolving threats is key to not only accurate fraud prevention, but also simply ensuring that you’re meeting the needs of your customers. If you have to wait six weeks for sign-off on a policy change, and then wait additional time for a vendor or your IT team to make iterations in your decisioning processes, you’ve left your organization susceptible. Having self-sufficiency in times like these is critical – being able to use advanced analytics to optimize decisioning strategy, quickly, and then make those changes just as quickly is key. But you need the right technology in place to support that flexibility and agility.
  • 05

    When the bank is undergoing a full digital transformation, many projects and developments are done at the same time with limited resources. What does management need to pay attention to when making decisions on priorities?

    The first step is making sure that all projects have been categorized and prioritized with the entire group, and that those priorities are aligned with the overall group/organizational strategy. Alignment is key. It is very difficult to have competing projects fighting for resources (time, money, human) and this is a common challenge among financial services institutions. Allowing for a level of flexibility and adaptability is crucial – often what helps is reevaluating priorities at set intervals, every quarter for example. The largest priorities may not change often, but the smaller, more nimble priorities can (and often do), and your project management structure should be flexible enough to accommodate that.
  • 06

    Given the increasing flow of information, number of processors and variety of processors within the competitive landscape, what is the importance of increasing the number of data connections to enhance decisions towards better business outcomes?

    Increasing data connections can be helpful, but it’s worthwhile to note that we don’t want to connect to so many that it’s overwhelming. It’s not just about more data, it’s about the right data at the right time, in order to see the real value of those data sources. Getting the right level of customer data that you need to adequately support your decisioning processes is crucial. Having a broader spectrum of data available, in terms of types of data sources and variety, as well as quality, is more important than just continually adding new data sources that won’t provide any additional value to the view of your customers (and may in fact add more friction to the journey). Data sources that allow for a strong level of automation in your decisioning processes will also be more valuable than those that require manual intervention or human oversight (which add complexity and slow down the process).
  • 07

    Will the current path of digital transformation that banks are on (locally and globally) lead to more financial stability or more future crisis scenarios (like Silicon Valley Bank)?

    Financial stability is important – we weathered this during the financial crisis in 2008, and there are continual efforts to combat any instability. One of the things that led to that instability is the fracturing of the value chain. When you have new players who are so specialized and who don’t see the whole banking picture, there are inherent risks. On the other hand, when you have large incumbents who do everything in-house, they see the whole picture, but they can often be very rigid and slow to move or make changes, which has different risks and implications on financial stability.

Balance risk with opportunity across the customer lifecycle.

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Transforming the Customer Journey: How Unified Technology Can Enhance Experience and Efficiency

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Transforming the Customer Journey:
How Unified Technology Can Enhance Experience and Efficiency

  • Mark Collingwood, Vice President Sales and Managing Directof Europe, Provenir

As consumer duty mandates higher transparency and fairness, many large organisations face the pressing challenge of modernising their complex and costly legacy systems. These traditional systems, characterised by siloed architecture, not only inflate operational costs but also impede the development of a seamless customer experience. To stay competitive and compliant, businesses must simplify their technological frameworks to better understand and serve their customers throughout the entire journey.

The Problem with Siloed Architectures

Legacy systems in large organisations often operate in silos — separate, and sometimes incompatible systems that handle different aspects of the business. This fragmentation leads to several issues:

  • Inefficiency and High Costs: Each silo may require separate maintenance and integration efforts, which increases overall operational expenses.

  • Impaired Customer Insights: Siloed data and systems obstructs a unified view of the customer, making it difficult to tailor services effectively and personally.

  • Delayed Time to Market: The lack of agility inherent in legacy systems can slow down the introduction of new services or updates, hindering responsiveness to market changes.

Consumer Duty as a Catalyst for Change

Recent regulatory trends emphasising consumer duty call for greater levels of transparency and fairness. These regulations are not just legal requirements but also opportunities to redefine the customer experience. They press businesses to:

  • Enhance Understanding: By simplifying interactions and communications, making them easier for customers to understand.

  • Increase Transparency: By clearly explaining terms, conditions, and processes associated with the services offered.

To align with these needs, re-architecting the technological and data landscape is crucial. This involves:

  • Eliminating Redundancies: Stripping away overlapping functionalities to reduce clutter and costs.

  • Adopting a Common Component Architecture: Shifting towards a unified decisioning platform that supports a broad range of customer needs, simplifying training, maintenance, and enhancement.

  • Fostering Reusability: Developing modular systems that can be quickly and easily adapted or expanded to meet emerging demands without the need for extensive customisation.

Benefits of More Unified Technology

By overhauling their IT architecture, organisations can reap significant benefits:

  • Eliminating Redundancies: Stripping away overlapping functionalities to reduce clutter and costs.

  • Reduced Operational Costs: Streamlined and simplified IT infrastructure lowers the total cost of ownership and operational expenses.

  • Improved Time to Market: A more agile and adaptable technology stack enables quicker rollout of new features and adjustments to customer needs.

  • Enhanced Customer Satisfaction: Timely and relevant interactions, powered by a comprehensive understanding of the customer, boost satisfaction and loyalty.

  • Improved Business Efficiency: Deploying a more simplified re-useable component-based architecture can help improve business efficiency and support an improved customer experience.

Case Study: Implementing Unified Technology

Consider a hypothetical financial institution plagued by dated, siloed systems. By transitioning to a unified decisioning platform, the institution could:

  • Consolidate Customer Data: Integrating all customer data into a single repository, providing real-time insights, and enabling proactive service adjustments.

  • Automate Service Delivery: Utilising common components to automate and standardise processes, reducing manual errors and operational delays.

  • Enhance Customer Interactions: Deploying advanced analytics to personalize customer interactions, thereby increasing engagement and trust.

As consumer duty reshapes the business landscape, the push towards transparency and simplicity can no longer be ignored. By embracing a simplified, re-useable component-based architecture, organizations can not only meet regulatory demands but also set new standards for customer experience. The journey towards technological simplification is not just a compliance measure, but a strategic move that can lead to substantial competitive advantage and operational efficiency.

For businesses ready to embark on this transformative journey, the path forward involves embracing innovation, discarding outdated practices, and viewing regulatory compliance as an opportunity for holistic improvement. Simplified technology is not just the future; it is the foundation upon which lasting customer relationships are built.


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Breaking BaaS: Keeping The Sponsor Bank-Fintech Relationship On The Straight And Narrow By Taking a Page From Franchising

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Breaking BaaS:
The Sponsor Bank-Fintech Relationship On The Straight And Narrow By Taking a Page From Franchising

  • Michael Fife, Vice President – Sales & Consulting, U.S., Provenir

The financial services industry is undergoing a profound transformation, with technology-driven innovations reshaping traditional banking models. Among these innovations, Banking-as-a-Service (BaaS) has emerged as a pivotal enabler, allowing fintech companies to leverage the infrastructure and regulatory framework of established banks to offer a wide range of financial products and services. However, the success of BaaS partnerships hinges not only on technical integration but also on fostering a collaborative relationship between sponsor banks and fintechs akin to the dynamic between franchisors and franchisees.

Franchising as a Model of Business Standardization

Franchisors provide franchisees with a well-defined blueprint for conducting business operations, encompassing everything from brand identity to operational processes. While brand identity may not be as critical in BaaS, the importance of standardized processes cannot be overstated. Similarly, sponsor banks must offer fintech partners a structured framework for conducting banking activities to ensure regulatory compliance and mitigate risk.

Applying Franchise Principles to BaaS

Sponsor banks must go beyond merely providing access to core banking systems and lending licenses; they must actively engage with fintech partners to establish standardized procedures for loan origination, risk assessment, and compliance. This entails defining acceptable risk criteria, specifying data sources for lending decisions, and establishing governance mechanisms for risk management.

The Imperative of Transparent Collaboration: Cloud-Native Decisioning Platforms Are One Facilitator of Collaboration

Achieving transparency and collaboration in risk management requires robust technological solutions. Cloud-native risk decisioning software offers fintechs and sponsor banks the necessary tools for data ingestion, decision and fraud orchestration, and manual review processes. Moreover, these platforms facilitate administrative functions such as user access management, version control, and auditing, thereby streamlining collaboration between a sponsor bank and its compliance team and the fintech, ensuring compliance with regulatory requirements.

Aligning Market Demands with Regulatory Compliance

By leveraging an industry-recognized risk decisioning platform, sponsor banks and fintechs can collaboratively define risk policies according to universally-recognized standards that balance market demand for a given fintech product with regulatory obligations. This collaborative approach not only enables fintechs to address a specific market need but also ensures that sponsor banks adhere to regulatory frameworks, such as capital requirements, data privacy, and KYC/BSA/AML requirements, among other banking regulations.

Navigating Challenges and Seizing Opportunities:

  • Overcoming Regulatory Hurdles

    One of the primary challenges in BaaS partnerships is navigating the complex regulatory landscape governing the financial services industry. By establishing clear governance structures and leveraging cloud-native technology solutions that enable oversight and rule-based administration, sponsor banks can mitigate regulatory risks and foster trust with fintech partners.

  • Seizing Opportunities for Innovation

    BaaS partnerships present opportunities for both sponsor banks and fintechs to innovate and differentiate themselves in the market. By collaborating on product development, leveraging advanced analytics, and embracing emerging technologies such as blockchain and artificial intelligence, partners can deliver cutting-edge financial solutions that meet evolving customer needs.

As the financial services industry continues to evolve, the collaboration between sponsor banks and fintechs in the realm of BaaS will become increasingly vital. By embracing a franchisor-franchisee dynamic characterized by standardized processes, transparent collaboration, and technological innovation, partners can unlock the full potential of BaaS and drive positive outcomes for customers, regulators, and stakeholders alike.


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Islamic Banking and Financial Services: Where Tradition Meets Innovation

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Islamic Banking and Financial Services:
Where Tradition Meets Innovation

  • Allison Karavos

Embracing Advanced Risk Decisioning in the Digital Age

Islamic banking, a rapidly evolving facet of the financial services sector (primarily in the MIddle East), presents a unique blend of traditional Islamic principles and modern financial practices, challenging professionals in finance, lending, credit, and risk decisioning to rethink their strategies. At its core, Islamic banking adheres to Sharia law, which has a number of implications on everyday financial transactions. 

Some of these principles include:

  • Paying or charging interest (riba) is prohibited (instead of interest, islamic financial institutions essentially profit-share with a model called equity participation)

  • Maisir (gambling) is prohibited

  • Gharar (excessive risk) is also prohibited

  • Financial transactions must be backed by tangible assets

  • Investments in industries deemed ‘unethical’ is not allowed

These rules and frameworks create a complex landscape of commercial transactions, with stricter parameters and compliance procedures governed by principles such as profit and loss sharing and risk-sharing models, distinguishing it significantly from conventional banking systems. For financial institutions navigating these intricacies, the integration of sophisticated automation becomes not just a competitive advantage but essential. Automation technologies, including risk decisioning software, can play a pivotal role in ensuring compliance with the dynamic regulatory requirements and adapting to evolving consumer demands. They offer the agility needed to align with nuanced, principle-based transactions while maintaining efficiency and competitiveness in the global market. And the Islamic finance sector continues to expand, with more than 560 banks and over 1,900 mutual funds around the world that comply with Islamic principles. Between 2015 and 2021, Islamic financial assets grew to about $4 trillion from $2.17 trillion and are projected to rise to roughly $5.9 trillion by 2026, according to a 2022 report by the Islamic Corporation for the Development of Private Sector (ICD) and Refinitiv. Global Islamic finance assets are said to have reached $4.5 trillion USD in 2022 and are projected to reach $6.7 trillion USD in 2027. The industry has more than doubled since a decade ago, and almost 60 countries now have Islamic finance regulations, with several new markets in Asia and Africa exploring the introduction of Islamic financial services.

Leveraging technology to harmonize these rich traditions with the demands of modern finance has become increasingly crucial for institutions aiming to thrive in this distinctive financial landscape.

Islamic Banking: Complex Needs Means Complex Challenges

Looking deeper at the complexities of Islamic banking reveals numerous challenges faced by financial institutions. One significant hurdle is the inherent variability in Islamic finance principles, which can differ across regions and jurisdictions. This diversity, influenced in part by differing interpretations of Sharia law, leads to variations in products and services offered, complicating compliance and operational strategies. Additionally, the Islamic finance sector, like all of finance, is subject to continuously evolving regulations, adding layers of complexity for institutions striving to remain compliant. On top of that, there are often regional differences in regulations and legislation, adding additional legal complexity on top of the cultural challenges, affecting the overall structure, delivery, and compliance requirements of Islamic financial services. And let’s not forget operational costs, which can be prohibitive when considering the requirements to align financial products and services with Islamic banking principles/guidelines – often needing specialized expertise and processes to ensure all nuances are covered. 

This is where the use of outdated or legacy risk decisioning software can pose a significant threat – not only to the overall adherence to Islamic banking principles, but also to the overall customer experience, which, as we all know, is key to customer retention and loyalty. Traditional risk management and assessment tools, typically designed for more conventional financial services systems, can fall short in decisioning accuracy when faced with the unique considerations of Islamic banking. This can lead to overall operational inefficiencies, increased risk exposure (including credit losses and fraud), and an inability to adequately meet the demands of your customers, especially when it comes to tailored product offerings and frictionless experiences across the entire journey. And introducing unnecessary (and unwelcome!) friction in the customer experience is a surefire way to negatively impact customer satisfaction and overall retention.

Embracing Advanced Risk Decisioning Technology

But the good news is, investing in advanced, automated, adaptable risk decisioning technologies can enhance the customer experience and help you maintain a competitive edge, while still effectively managing your risk in an increasingly complex financial landscape. Upgraded risk decisioning tech, especially when it includes embedded intelligence like AI/ML, can transform your risk management strategy, while still ensuring compliance with Islamic banking principles. AI can analyze vast amounts of data, identifying patterns and risks that may be overlooked by traditional evaluation methods, enabling a more holistic, accurate assessment of risk and your customers – and more compliant decision making. The integration of advanced technologies also streamlines your risk processes, reducing the time and effort required to accurately evaluate your customers. Gaining this efficiency means lower operational costs, but it also helps to accelerate the delivery of financial products and services to your customers, greatly enhancing the overall experience and helping ensure customer satisfaction and loyalty. Islamic banking customers, like customers of just about any industry these days, expect fast, personalized offers – which isn’t easy to do with more legacy tech. 

Besides these obvious benefits, updating your legacy risk decisioning technology also helps to support further innovation within the Islamic banking sector. Like everything else in finance, change and evolution is the name of the game – but it’s very difficult to remain agile and adaptable with outdated, siloed systems and processes. Leveraging more flexible tech, especially with embedded intelligence, enables the rapid development of new, compliant financial products and services that meet the evolving needs of both customers and the market as a whole. Consider advanced risk decisioning a dual-force, empowering Islamic financial institutions to navigate complex compliance requirements with ease, while also fostering an environment of innovation (and bonus, don’t forget that whole customer satisfaction piece). Mitigating risk and driving the industry forward in a way that aligns with both traditional Islamic principles and modern customer expectations means you can strike that necessary balance in this unique environment.

Future-Proofing Your Decisioning Technology

So if you’re convinced of the importance of upgraded technology to support risk mitigation, customer experience, and adherence to Islamic banking guidelines… what can you do to ensure you are implementing the best risk decisioning technology that not only meets your needs now, but also supports your needs in the future?

Some key things to keep in mind are:

  • Data: Ensure you have access to a rich variety of global data sources, including both traditional and alternative data, and that your data can be easily accessed and integrated into your risk decisioning workflows.

  • Ease-of-Use: Do you need to rely on vendors or your IT team to implement any new changes in your decisioning processes, or can you make changes yourself? Look for credit risk management software that is business-user friendly, with an intuitive, low-code UI, drag-and-drop processes, and easy visualization so you can make changes in minutes. 

  • Embedded Intelligence: Make sure you have access to your decisioning data and the ability to use advanced analytics and embedded intelligence to understand your decisioning performance and optimize accordingly.

  • End-to-End: Can you make decisions across the entire customer journey, all in one platform? Eliminate siloed processes and disparate systems with end-to-end decisioning that allows you to onboard customers seamlessly, detects and prevents fraud, optimizes collections treatment strategies, and enables personalized, relevant product offerings (including upsell/cross-sell opportunities) across the lifecycle.

  • Case Management: Not every decision can be automated – but with case management integrated into your decisioning, you can streamline referral handling for frictionless investigations.

Just like Islamic banking beautifully blends tradition and innovation, so too can your risk decisioning technology. Incorporating advanced technology in your risk assessments, including AI/ML, allows you to respect the traditional values of Islamic banking while embracing technological innovation to meet the dynamic needs of today’s customers. And if you can’t replace all existing technology with upgraded solutions, start small and integrate new processes and solutions alongside existing systems to start reaping the benefits of automation as quickly as possible. 

By integrating these advanced technologies, you can foster an environment of innovation, driving the industry towards a more inclusive, efficient, and forward-thinking future.


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Lending to Live: Navigating the Cost of Living Crisis for Lenders in the UK

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Lending to Live:
Navigating the Cost of Living Crisis for Lenders in the UK

  • Allison Karavos

In the wake of the ever-growing concern surrounding cost of living in the UK, consumers are finding themselves at the heart of financial turbulence, grappling to maintain stability and meet basic needs. As prices for essential goods and services continue to rise, consumers are finding it increasingly difficult to make ends meet, presenting not only a challenge but also an opportunity for lenders and credit providers to play a pivotal role in supporting these consumers, especially the underserved segments of society. 

In this transformative landscape, AI-powered, data-driven decisioning platforms can play a pivotal role in reshaping lending practices to be more responsive, inclusive, and empathetic.

Understanding the Cost of Living Crisis

Recent statistics paint a sobering picture: as of early 2024, inflation rates have soared, significantly impacting the prices of food, energy, and housing. This has resulted in a notable increase in the cost of living, outpacing wage growth and putting immense financial pressure on many households. For instance, the Consumer Prices Index (CPI) rose by 4% in the 12 months to January 2024. The cost-of-living crisis in the UK is not just a financial challenge; it is a daily struggle for individuals and families trying to navigate rising expenses, stagnant incomes, and economic uncertainties. From housing to healthcare, education to groceries, every aspect of life is impacted, putting immense pressure on consumers to make ends meet.

The Consumer-Centric Approach

In challenging times, the consumer must be at the forefront of any meaningful solution. Lenders need to reevaluate their approach and recognize the importance of a consumer-centric strategy. This involves understanding the unique financial situations of borrowers, acknowledging their challenges, and tailoring lending solutions that genuinely support their needs. And it’s not just about short-term solutions, but about offering support and solutions that go beyond traditional lending models, focusing on long-term financial well-being and stability.

Adapting to Evolving Consumer Needs: Leveraging AI and Data-Driven Decisioning

The ability to adapt quickly to changing circumstances is crucial in addressing the cost-of-living crisis. One of the most powerful tools at the disposal of lenders in addressing the cost-of-living crisis is technology, specifically AI and data-driven decisioning. 

A data-driven, decision intelligence platform enables lenders to assess and respond to evolving consumer needs in real-time, ensuring lending institutions can remain agile and responsive. 

More specifically, these technologies help lenders:

  • Better Understand Consumer Needs: By analyzing data patterns and consumer behavior, lenders can gain insights into the financial challenges that different segments of the population are facing.

  • Personalise Financial Solutions: AI can help tailor financial products and services to meet the specific needs of individual consumers, providing more relevant and effective support.

  • Improve Risk Assessment: Enhanced data analytics can lead to more accurate risk assessments, allowing lenders to offer credit to a broader range of consumers, including those who might be underserved by traditional credit scoring models.

  • Offer Proactive Financial Guidance: AI-driven tools can provide consumers with proactive and personalized financial advice, helping them manage their finances more effectively in tough economic times.

Supporting the Underserved

One of the key challenges in the lending industry is reaching and supporting underserved communities. A data-driven approach helps bridge this gap by enabling lenders to evaluate risk more accurately, extending financial support to those who might be overlooked by traditional lending methods. This inclusivity is not just a strategic advantage but a social responsibility that aligns with the urgent need for financial equity.

With the right data at the right time, lenders can support underserved groups by:

  • Developing products and services tailored to their specific needs

  • Using alternative data in credit decisioning to include those with thin credit files

  • Providing financial education and guidance to help them manage their finances

Looking Ahead: A Compassionate Future of Lending in the UK

Looking ahead, the lending industry in the UK is expected to undergo significant changes. We can anticipate a greater emphasis on responsible lending, with a focus on sustainability and long-term financial health. Technology, particularly AI and machine learning, will continue to play a critical role in shaping the future of lending. These advancements will enable lenders to offer more personalised and flexible financial solutions, making finance more accessible and inclusive.

In conclusion, the cost-of-living crisis in the UK presents both a challenge and an opportunity for lenders and credit providers. By adopting a consumer-centric approach and leveraging technology, they can not only support consumers through these difficult times but also pave the way for a more inclusive and sustainable future in lending. Lenders must evolve to meet the pressing needs of consumers. As we navigate these challenging times, the integration of technology and empathy will undoubtedly shape a future where lending serves not just the financial well-being of individuals but the resilience of the region as a whole.

Looking for more info on how a holistic, AI-powered decisioning platform can help evolve your lending strategy?

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Bridging the SME Funding Gap

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Bridging the SME Funding Gap

  • Allison Karavos

Ten Companies Embracing Lending Innovation

SMEs remain the powerhouses of most economies, both global and regional. But it’s often still difficult for them to get the funding they need to thrive. How can we bridge the $5.2 trillion global funding gap for these deserving yet underserved businesses? And how can lenders expand into this high-demand market segment?

By embracing digital transformation and implementing intelligent risk decisioning, loan providers can ensure greater accuracy and agility when making lending decisions for SMEs. While there is still much untapped potential in the industry, more and more lenders are willing to embrace innovation, better serving the needs of SMEs without increasing their risk. Check out our list for some of the SME lenders leading the way. 

Faster, More Agile Loan Approvals

SME lenders across the globe are trailblazing new, future-proof ways to serve SMEs and transform formerly clunky, complex application processes into streamlined, optimized ones. Utilizing innovative tech can enable you to automate credit decisioning to provide accurate, real-time approvals, allowing SMEs to gain access to funds quicker than ever before. By automating data collection, risk decisioning and pricing, lenders can enable faster approvals and ensure funding is in hand within a matter of only minutes.

Balance risk with opportunity across the customer lifecycle.

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Guest Post: How generative AI is transforming due diligence

GUEST POST

How Generative AI
is Transforming Due Diligence

  • Chris Green, CEO, Xapien

The Importance of Knowing Third Parties

The role of compliance is to prevent actions that could break regulations or lead to any financial, reputational, or other risks that sit outside an organisation’s risk threshold. This entails having a comprehensive understanding of an organisation’s counterparts — clients, suppliers, and investors — to spot inconsistencies and potential red flags that point to regulatory or reputational risks. Only then can organisations make strategic decisions.

The work of compliance professionals hinges on the information accessible to them. Initially, this was confined to official state registries and government records like passports and incorporation documents. Over time, Politically Exposed Persons, sanctioned entities, and other risks surfaced, so databases were created to check against these risks.

However, in today’s digital landscape, the surge in publicly available information demands that compliance professionals extend their search to billions of internet pages for a comprehensive understanding of their counterparts. 

This explosion of data has made the role hugely challenging and time consuming, with many compliance teams simply unable to afford deep due diligence across the entire indexed internet. Instead, they rely on traditional databases which limits what an organisation can know, and a few cursory internet searches. This exposes organisations to massive risk

Whether harnessing internet data, or sticking to databases, the compliance process is time-consuming. Teams must review lengthy PDF reports, sift through numerous false positives, and read multiple pages to determine the relevance of data to the subject. The result? A slow compliance process that often takes place at the end of sales conversations, causing tension in relationships with business teams awaiting a decision.

Now, imagine if compliance professionals had the tools to reveal comprehensive insights about potential clients. What possibilities could this unlock for the entire business? These insights could be seamlessly shared across the organisation, enhancing sales conversations and transforming compliance from a business prevention department into a business enabler. 

Due diligence could become the initial step rather than the final one in a sales process. Sales teams would depend on compliance to provide essential insights about potential clients before committing substantial time and effort to prospect conversations.

Automating Due Diligence with Generative AI

AI makes this possible. By connecting traditional data sources with the vast online information about third parties, compliance professionals who use Xapien’s AI tool can gain deep understanding of their counterparts in minutes, not days.

Our AI tool efficiently searches trillions of web pages, blending compliance data with open-source information for a nuanced understanding of third parties that goes beyond databases and watchlists. Using machine learning techniques, Xapien reads and extracts key insights from web pages. It does the grunt work that slows compliance teams, such as reading and reviewing to ensure the information gathered is directly related to the subject. 

The next job of the compliance team is usually to write the report. Again, Xapien already does this. It writes concise summaries that are fully-sourced down to sentence level based on the information it finds. Huge time savings mean that Xapien reports can be run as the first, and not the last step in any sales or client onboarding process. 

Running third parties through Xapien at the beginning of the compliance process helps identify early red flags. This proactive approach allows compliance teams to catch risks early in the process, preventing teams from investing resources in a deal that might not go ahead, but also unlocking useful insights about clients that the sales team can use in their conversations.

Eliminating multi-page PDFs and false positives enables compliance teams to focus on strategic thinking based on the information already analysed by Xapien. Having these sharable reports facilitates quicker decision-making with the business team on how to proceed. 

One Xapien customer, a compliance team in a private equity firm, used a tool that added two hours for each new screening. Now, it takes an additional 10 minutes. This streamlined process ensures no delays in deals, enabling the business team to proceed more efficiently.

Find Xapien on the Provenir Data Marketplace

Partnering with Provenir has strengthened Xapien’s foothold in the AML-regulated sector and helped more businesses access fully-automated enhanced due diligence (EDD) reports on individuals and organisations. By automating manual research, it helps compliance teams scale their operations and, most importantly, catalyse revenue growth. If you’d like to learn more about how Xapien could help your organisation, get in touch with our team of experts here.

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Enhancing Financial Services Through Case Management

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Enhancing Financial Services
through Case Management

Enabling Frictionless, End-to-End Onboarding

In the ever-changing world of financial services, case management can be a critical component to success when it comes to mitigating risk of loss, maximizing the value of your customers and ensuring frictionless onboarding experiences. By seamlessly integrating case management solutions into your decisioning processes, you can streamline operations, reduce fraud losses, and enhance customer experience in a variety of ways. The case management market on its own is expected to grow to $9.44 billion by 2026 at a compound annual growth rate (CAGR) of 9.54%. And the idea of case management has a profound impact on a variety of roles within your lending/onboarding functions, including application agents, fraud investigators, and credit risk underwriters. So we’re looking at the ways case management can enhance your business growth and help enable frictionless, end-to-end onboarding that get you to market faster and improve the customer experience along the way.

Case management in financial services refers to the process of handling manual review of client cases effectively and efficiently, from initiation through to resolution (whether that’s an approval or a rejection of a particular application). But it’s made infinitely more powerful when it’s integrated with an intelligent decisioning solution that can easily expedite cases when needed and review everything all in one place.

Integrate Seamlessly with Decisioning

Your risk decisioning solutions, in whatever form they take, are critical for making numerous decisions in the life of your customers – including lending, fraud screening, onboarding, customer/portfolio management, and collections. But despite the advances in intelligent decisioning, not every situation can be automated. Integrating case management for the situations that need human intervention makes both solutions exponentially more powerful – you can easily expedite case handling and re-trigger automated decisioning when it’s ready, and by having most applications automated you can shift and focus resources on the cases that need it most. And when you integrate case management into real-time decisioning, you eliminate the siloed views that can be common in the financial services world (particularly when dealing with complex legacy technology). Seamlessly integrating manual intervention into your automated decisioning flows enables one truly holistic, end-to-end decisioning solution and frictionless onboarding experiences. 

Streamline Onboarding, Reduce Fraud Losses, and Treat Customers Fairly

Sounds like a tall order for one simple case management solution? It’s not. Over half of fraud and risk executives at financial services firms are not entirely satisfied with their current case management systems. 

Think about the different roles that necessitate manual intervention and case handling, and there are very specific advantages to both them and your customers. 

Application Agents: Application agents face the challenge of processing applications quickly while still maintaining accuracy. With case management seamlessly integrated with your existing processes, your application agents can create and amend applications, manually enter and update application information, re-trigger decisioning processes when needed, view everything in a summary dashboard, and ultimately streamline the onboarding process – impressing your customers in the process.

Fraud Investigators: Fraud threats continually evolve, and the stakes (and risk of losses) are high. According to TransUnion, from 2019-2022 there was an increase of 39% in cases of fraud attempts in financial services. Your fraud investigators can more accurately investigate fraud rings with the ability to manually intervene, and better prevent losses. They can perform a deep-dive into decisioning data, execute roles-based controls and fraud checks, and benefit from queue management to ensure the most efficient processes – and reduce overall fraud losses as a result. 

Credit Risk Underwriters: Credit risk underwriters are responsible for fair and balanced risk assessment of each and every applicant. Ensure that your underwriters can manually action referrals when necessary, review and understand risk policy rules, attach documentation and notes for visibility, and drive further downstream actions after review – enabling the ability to treat customers and their unique situations fairly and compassionately. 

Implementing Case Management Solutions

Implementing case management in financial services involves careful planning and execution. It’s essential to choose the right system that aligns with your needs. The challenges, such as data integration and staff adaptation, can be mitigated through a phased implementation approach – or by ensuring that you have selected a solution that integrates seamlessly with your decisioning and data solutions, eliminating siloed environments and inefficient processes. Technology that includes AI, machine learning, and advanced analytics will also help further streamline processes and enhance decision-making accuracy, enabling more efficiency and bias-free decisions across the entire organization and the complete customer lifecycle. 

Ensuring you have a comprehensive case management solution enables improved efficiency, reduced risk, better compliance and fraud decisioning, and enhanced customer satisfaction. The ability to optimize actions and interventions at every step of the onboarding process allows you to more effectively balance risk with opportunity across the entire lifecycle of your customers. Prevent losses, maximize value, and remove friction in all aspects of your onboarding – and watch your business grow as a result.

Balance risk with opportunity across the customer lifecycle.

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What impact do decisioning challenges have on your business?

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What impact do decisioning
challenges have on your business?

Hear from our experts – a deeper look at the 2024 Global Risk Decisioning Survey

The 2024 Global Risk Decisioning Survey has brought to light critical insights into the challenges and priorities faced by financial institutions. We looked at everything from risk decisioning challenges and customer management priorities to confidence in the accuracy of risk models and fraud screening measures. But what impact do those challenges have on your business? We’re looking deeper into the results, highlighting expert opinions and the business impacts of these evolving trends.

Top Risk Decisioning Challenges

The survey identifies two major challenges: 49% of respondents struggle with managing risk across the customer journey, while 48% face hurdles in developing and deploying risk decisioning processes. Efficiently managing risk across the entire customer journey, and being able to develop and deploy processes and decisioning workflows without vendor reliance, is key to maintaining sustainable business performance.

What are the consequences of ineffective risk management? The inability to effectively manage risk can lead to increased revenue loss and defaults, operational disruptions and inefficiencies, and slower onboarding and loan approvals. It also places you at a competitive disadvantage with the potential for loss of market share, and the misalignment of business goals and strategies that don’t accurately account for potential risks. And of course, there’s always the question of reduced customer satisfaction and loyalty, which can have a long-lasting effect on sustainable business growth. 

Carol Hamilton, Chief Product Officer at Provenir, emphasizes the need to shift from traditional, legacy approaches to dynamic, data-driven strategies for better value across the customer lifecycle. “There’s a real traditional legacy approach to thinking about customers, especially from a credit risk perspective. And every month you reassess them and you calculate the same sort of metrics, but there are some outdated rules and models being used. Whereas disruptors are trying to look at how we can create something that’s more dynamic, data-driven, and intelligent, so they can really try and ensure the most value to their customers and their organization throughout the whole customer lifecycle.”

Top Risk Decisioning Priorities

Acquiring customers (47%) and managing them effectively (53%) are the top priorities our survey respondents face. While acquiring new customers is vital, maintaining satisfaction and maximizing existing customer value is crucial for sustainable growth. Inefficient customer management results in lower customer lifetime value and negative experiences, which leads to reduced customer retention and loyalty. Apart from the direct negative impact on customers, it also leads to higher acquisition costs, ineffective use of internal resources, and less predictable/stable revenue sources.

Kathy Stares, EVP of North America at Provenir, highlights the benefits of real-time insights across the customer lifecycle. “Every decision point across the customer lifecycle – from credit risk evaluation to cross-sell to collections – stands to benefit from the real-time, contextual insights that open banking data can deliver in 2024.”

Accuracy of Credit Risk Decisioning Models

40% of respondents believe their credit risk decisioning models are not entirely effective. While confidence in these models has improved since our last survey, there is still significant opportunity to ensure more accurate and equitable credit decisioning. Inaccuracies in credit risk models can lead to increased credit losses, regulatory and compliance issues, and operational inefficiencies. Without accurate risk models, the potential for negative customer experiences is also a real threat, as well as less equitable funding and a lack of financial and credit inclusion. 

Frode Berg, Managing Director of EMEA at Provenir, discusses the power of AI to improve credit risk models. “There’s a growing belief in the power of AI decisioning, including machine learning and predictive analytics. These technologies will continue to shape the financial industry going forward, improving credit risk models, decisioning efficiency, financial inclusion, and ultimately having a positive impact on the customer experience.”

Confidence in Modifying Risk Decisioning Logic

70% of respondents lack confidence in their ability to modify risk decisioning logic quickly. As the macro-economic environment changes (rapidly), being able to quickly and easily modify risk decisioning models, rules, processes, and workflows is critical to meeting the evolving needs of your business. The inability to modify risk decisioning logic means an increased reliance on vendors (and increased costs!) – placing those organizations who lack the agility to pivot at a distinct disadvantage over competitors who can adapt quickly. This also places you at risk of increased credit losses if your models aren’t up to date and accurate, not to mention the threat of regulatory and compliance challenges. 

Jose Vargas, EVP of Latin America at Provenir, notes the increasing receptiveness to new technologies for greater innovation and agility in managing risk. “Those organizations that are more conservative when it comes to venturing to new technologies or methodologies are now more receptive to new tools and solutions that can enable greater innovation, agility and speed – allowing them to be more effective in managing risk and their portfolios.”

Effectiveness of Anti-Fraud Measures

Only 7% of financial service providers are entirely confident in their anti-fraud measures. A lack of effective fraud detection and prevention technology leaves financial services organizations incredibly vulnerable to fraudulent activities, which have ripple effects far beyond the initial fraud. The evolving sophistication of fraud threats necessitates robust measures to prevent revenue loss, manage regulatory risks, prevent reputational damage, and minimize operational inefficiencies when dealing with the aftermath of fraud (including investigations and customer complaints). 

Cheryl Woodburn, Country Manager for Canada at Provenir, emphasizes the importance of strong fraud orchestration and fraud screening measures in mitigating business loss, especially in high-interest rate environments. “Both first-party and third-party fraud threats continue to grow and evolve, especially as we continue to have high interest rates and people are struggling to pay for necessities in life. It’s happening not only in unsecured lending, where the legislation or credit checks are a bit looser, but also in lending that’s secured against an asset (like auto lending). Having robust anti-fraud measures is critical to mitigating loss in your business.”

Challenges in Delivering Hyper-Personalization

38% of respondents point to data quality and integration issues when it comes to delivering personalized offers to customers, while 19% struggle with real-time decisioning. These challenges hinder the ability to offer customized products and services, leading to reduced customer engagement, decreased competitive edge, and missed revenue opportunities. Today’s consumers are more discerning than ever, meaning lack of personalization also ultimately leads to increased churn and higher customer acquisition costs. 

Bharath Vellore, GM of APAC at Provenir, stresses the need for embracing advanced technologies, including AI, for enhanced online personalization and real-time offers.“As consumer behavior changes and customers demand more and more online personalization and real-time offers, financial services providers have to embrace advanced technologies more, including AI and digital transformation to enable this.”

What do these challenges have in common?

Besides providing a fascinating glimpse into the state of the industry, what all of the results of the 2024 Global Risk Decisioning Survey highlight is the need for innovative, agile solutions that allow you to stay competitive and meet customer needs effectively. With an intelligent, dynamic decisioning solution, you can effectively balance risk with opportunity, optimize your risk decisions, more accurately prevent fraud, and have the confidence to deliver hyper-personalized products to your customers.


Learn more about hyper-personalization in financial services with our expert content:


Be sure to check out the 2024 Global Risk Decisioning Survey for more info on what 300 financial services decision makers had to say.

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Buy vs. Build in APAC – Why “Buy” is the Right Choice for Risk Decisioning Software

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Buy vs. Build in APAC – 
Why “Buy” is the Right Choice for Risk Decisioning Software

  • Allison Karavos

In today’s fast-paced business landscape, making informed and timely decisions is critical to success. This is especially true when it comes to risk decisioning, a process vital for mitigating threats and maximizing opportunities. As businesses in APAC consider their options for risk decisioning software, a common debate arises: should they buy an off-the-shelf solution or build a custom one? In this blog post, we will explore the reasons why “buy” is the right choice for risk decisioning software in the APAC.

Speed to Market

One of the most compelling reasons to opt for a pre-built risk decisioning solution is the speed it offers. Developing custom software from scratch can be a time-consuming process but in today’s fast-paced business environment, agility is essential. Thankfully, a variety of pre-built software solutions are readily available and can be implemented in as little as three months depending on your vendor.

Cost-Effectiveness

Building a custom risk decisioning solution can be a costly endeavor. It involves not only development expenses but also ongoing maintenance and support. On the other hand, buying an established software solution typically comes with a more predictable cost structure, including licensing fees, maintenance contracts, and support agreements. For many APAC businesses, this cost-effective approach makes it easier to manage their budgets.

Proven Expertise

When you buy a pre-built risk decisioning software, you gain access to the expertise of the software vendor. These vendors specialize in their field and continuously improve their solutions. They have extensive experience in risk management, compliance, and data analysis, which is hard to replicate in-house. Relying on their expertise can help APAC businesses make better risk decisions and navigate complex regulatory environments effectively.

Scalability

As your business grows, your risk decisioning needs may change. Third-party solutions are often designed to be scalable, making it easier to adapt to changing business demands. In contrast, custom-built software may require extensive redevelopment and modification to accommodate growth. For APAC businesses looking to scale and adapt quickly, “buy” is the more flexible choice.

Integration

Modern businesses rely on a multitude of software applications for various functions. A significant advantage of third-party risk decisioning software is its compatibility with other systems. It’s designed to integrate seamlessly with popular CRM, ERP, and other tools, which is especially important in APAC, where businesses often depend on a mix of applications to run their operations smoothly.

Compliance and Security

The regulatory environment in APAC is continuously evolving, with strict data protection laws and industry-specific compliance requirements. Buying risk decisioning software often means that your system will be equipped with the latest compliance features and security protocols. This can save your business the headache of constantly monitoring and adapting to regulatory changes.

Updates and Maintenance

Software, like any other asset, requires maintenance and updates to remain effective. When you buy risk decisioning software, you can rely on the software vendor to provide regular updates and maintenance support. This ensures your system stays up-to-date and secure, without requiring extensive in-house resources.

Conclusion:

While the decision to buy or build risk decisioning software ultimately depends on the unique needs of each APAC business, there are strong reasons why “buy” is often the preferred choice. Speed to market, cost-effectiveness, access to expertise, scalability, integration, compliance, and ongoing support make third-party solutions the pragmatic option for many. When time is of the essence, and resources are limited, a pre-built risk decisioning solution can provide the competitive edge APAC businesses need to make informed decisions in today’s complex world of risk management.

If buying still seems overwhelming, be sure to check out our comprehensive Buyer’s Guide for risk decisioning platforms.

Learn how we can help you manage risk and maximize value at onboarding.

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