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Author: Amy Sariego

Provenir Joins Visa Ready for BNPL Program to Support AI Risk Decisioning for Burgeoning Buy Now Pay Later Sector

NEWS

Provenir Joins Visa Ready for BNPL Program
to Support AI Risk Decisioning for Burgeoning Buy Now Pay Later Sector

Providing universal access to data, simplified AI and sophisticated decisioning technology, Provenir continues to broaden its partnership with Visa

Parsippany, NJ — May 10, 2022 — Provenir, a global leader in AI-powered risk decisioning software for the fintech industry, today announced it is part of the Visa Ready for BNPL program, providing lenders offering Buy Now Pay Later (BNPL) services the ability to make data-fueled and AI-powered intelligent decisions.

Today’s announcement builds on Provenir’s established partnership with Visa, leveraging Visa’s collaboration, expertise and vast network. In addition to Visa Ready for BNPL, Provenir is also an enabling partner with Visa’s Fintech Fast Track Program and Visa Fintech Partner Connect.

Provenir’s AI-Powered Decisioning Platform is comprised of three essential components that enable financial institutions to rapidly overcome the challenges that hold them back — data integration, AI deployment and decisioning automation.

“Provenir is proud to join Visa Ready for BNPL as an enabling partner providing AI-risk decisioning for Visa clients in the BNPL sector,” said Kathy Stares, Executive Vice President, North America at Provenir. “In the fast-moving BNPL sector, risk decisioning that’s accurate and based on real-time information is essential. Our AI-powered risk decisioning platform provides a cohesive risk ecosystem to enable smarter decisions across the entire customer lifecycle to power many of the world’s leading BNPL providers across all continents.”

Through the Visa Ready for BNPL program, Visa establishes a robust ecosystem of partners to scale Visa’s BNPL portfolio of solutions worldwide.

Visa Ready for BNPL program partners provide Visa clients access to solutions and capabilities to support standing up BNPL capabilities including acquirers, POS systems, commerce platforms, issuer/virtual card processors, digital banking providers, origination platforms, system integrators and more.

The Ultimate Guide to Decision Engines

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CreditorWatch

Partners

CreditorWatch

Unique Australian Commercial Risk Data & Solutions

Key Benefits

  • Access to traditional Australian credit risk drivers. CreditorWatch captures all the traditional risk drivers from public data sources you need to know about – including ASIC & ABR Data, Australian Courts, AFSA bankruptcies & Insolvency Notices.
  • Additional Unique Insights into Australian small and medium businesses (SMEs). We also provide unrivaled B2B trade payment transactional data from our exclusive XERO & MYOB integration as well as Aged Trial Balance corporate uploads, unique CreditorWatch payment defaults, mercantile enquiries, credit enquiries, and business Georisk & Geodemographic Data.

“With CreditorWatch, we now have rich data to help us make strong commercial decisions and our people can now focus on the good stuff: managing risk and providing great customer service. We consider CreditorWatch to be a strategic business partner invested in supporting our business goals of growth and efficiency.”

iQUMULATE PREMIUM FUNDING

Over 50,000 Customers. More Customers = More Data

Our philosophy is simple: more customers equals more data. Our diverse customer base has enabled us to provide something unique: data that gives insights into Australia’s small and medium businesses (SMEs) that is simply not available anywhere else. We offer this unique data to corporate enterprises through our innovative solutions and can customise this powerful data set according to any businesses requirements. 

Armed with these insights, you will be significantly better positioned to make more accurate credit decisions and manage risk.

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About CreditorWatch

  • Products

    • API Data Integrations
    • ASIC and ABR Entity Verification
    • ASIC Extracts
    • CreditorWatch Risk Score and Payment Predictor
    • Australian Court Data
    • AFSA Bankruptcy
    • Insolvency Notices
    • CreditorWatch Payment Defaults
    • Mercantile Enquiries
    • CreditorWatch Credit Enquiries
    • Xero and MYOB Transactional Data
    • Corporate ATB Data
    • Georisk and Geodemographic Data
    • Comprehensive Commercial Credit Reports
    • Custom Credit Score
    • 24/7 Monitoring and alerts on adverse behavior on commercial entities
    • KYB/AML – UBOs, PEP, Sanctions and Adverse Media Checks
    • DVS
    • Adverse Cross Directorships and Director Due Diligence
    • Financial Risk Assessments
    • Trade Payment Program
    • PPSR Data and Platform
    • Portfolio Health Checks
  • Countries Supported

    Australia

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Replacing Your Legacy Credit/Loan Application Processing Software

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Replacing Your Legacy Credit/Loan Application Processing Software

Your business has moved on, did your processing solution keep up?

Before The Gap was an international clothing brand, it was a small record store in San Francisco’s Lakeside district.

Similarly, tech giants LG got their start selling cosmetics, toothpaste and other personal hygiene products.

That’s right.

LG was originally the Lak-Hui Chemical Industrial Company.

There are dozens of stories like these. Businesses grow and evolve over time. And while you might never pivot as dramatically as The Gap or LG, your products and services have and will continue to evolve to meet new market demands.

It goes without saying, but if you shift your offering, expand into new markets, or even grow, your current software may no longer meet your needs. And while it can be tempting to try and adapt existing technology to meet current business requirements, it’s often like trying to fit a square peg into a round hole. When assessing the long-term feasibility of your existing loan application processing solution ask the following questions:

  1. What’s the cost of maintaining the current system?
  2. How much will it cost to make significant changes to meet new business needs?
  3. How long does it take to make changes?
  4. Is it making you less competitive?
  5. Do you rely on the vendor to make key updates?

Over time, keeping your software operating smoothly will cost much more than investing in new technology.

Don’t believe it?

Consider this. Outdated technology cost businesses $1.8 trillion in wasted productivity in 2016.

Is your software making you more, or less, competitive?

Can your current solution:

  • Be adapted to new business processes?
  • Support a growing number of users?
  • Automate repetitive tasks?
  • Handle operations on a bigger scale?
  • Power a first-class consumer experience?
  • Enable business users to make changes quickly?
  • Make integration to data sources and other tech solutions easy?

    Your credit application processing solution should power not impede business growth and help make you more competitive. If you’re constantly fighting the system to make changes, waiting on integrations due to complex coding, or sacrificing the consumer experience because the system can’t support instant approvals, then it’s time to make a change. Why? Because, if you can’t make changes quickly your business is exposed to increased risk and missed opportunities.

    Consumers demand instant decisions and the best user experience. For today’s tech savvy customer making them wait more than a few seconds for a loan decision is like expecting them to go back to the days of dialup internet. While it used to be fine to wait a minute for the internet connection to kick then another minute for a website to respond, it’s now considered slow if a website isn’t visible in just a couple of seconds. If you continue to use the ‘dialup’ of loan application solutions, expect your customers to have found an alternative option before the modem even starts to warble!

    Telltale signs your credit/loan application processing system is past its sell-by date include:

    • You rely on your dev team to make simple changes
    • Making sure it works properly is becoming increasingly expensive
    • Waiting on changes is slowing down business growth
    • It can’t scale to meet your business needs
    • It’s preventing you from making real-time decisions
    • Tie-dyed t-shirts, leisure suits, and mullets were acceptable fashion choices when you first started using the software

      What should you look for in a replacement?

      The benefits of replacing a legacy system far outweigh the temporary inconvenience of implementing a new loan application processing system, but how do you know which replacement solution to select?

      Here are five key things to look for in a replacement:

      1. A low-code solution – Low-code solutions allow you to configure, maintain and even create new processes without having to rely on your dev team. Instead, you can drag and drop different components to make changes quickly and easily. The right low-code solution can reduce or eliminate the delays caused when business teams have to rely on over-burdened dev teams or the solution vendor to make updates.
      2. Simplified integration capabilities – Integration, whether it’s to internal or external sources, is a challenge for many businesses but it shouldn’t be. Your credit application processing solution should make integration easy, so when new integrations are needed, which they will be, the reliance on dev involvement will be minimal and business users can take the lead.
      3. Advanced automation options – Process automation is a vital component to powering business growth and ensuring a first-class customer experience. Your new solution should make it easy to automate processes and also enable you to reuse automation components across multiple business processes.
      4. Scalability – You would never invest in a one bed property if you knew you’d need something bigger in a few weeks. So, why treat a processing solution any differently? If you’re investing the time and money in changing solutions you should choose one that you can keep for many years, which means picking one that is able to scale as your business grows!
      5. Flexibility – It’s impossible to predict what changes your business will need to adapt to in the future, so your credit application processing solution needs to be flexible enough to allow your business to remain agile. For example, Provenir’s simple drag and drop interface, allows you to build new tools easily when you need them, allowing the business to respond to changing markets and take advantage of new opportunities as they arise.

      Wrapping Up

      Saying goodbye is never easy. But when you find a credit application processing system that configures to your needs with minimal coding, integrates at lightning speed, and that actually makes your life simpler, you won’t regret making the change.

      After all, the (first) end of Michael Jordan’s basketball career brought a triumphant return, a record-breaking winning season, three championships (and how dare we forget about Space Jam). And, the end of Genesis, as the world knew it, brought Phil Collins’ solo career. What would the world be without that rendition of True Colors?

      Endings are just the opportunity for something new. It’s time to take the leap!

      The Ultimate guide to Decision Engines

      What is a decision engine and how does it help your business processes?

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      Risk Management is the Next Frontier for AI Adoption

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      Risk Management is the Next Frontier
      for AI Adoption

      AI investments in finance continue to gather steam in 2022, as more firms win the management buy in to automate processes with machine learning, implement near-autonomous trading algorithms, and deploy predictive analytics on the end-user side.

      In an interview article in bobsguide, Carol Hamilton, SVP, Global Solutions at Provenir, shares her insights on the main factors required for AI to deliver ROI quickly and how AI and automation are blurring the lines of fraud and risk management in organizations.

      Read Now

      The Ultimate Guide to Decision Engines

      What is a decision engine and how does it help your business processes?

      Learn More


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      AI in Fintech: Driving Innovation, Inclusion and Impact (in collaboration with Finovate)

      ON-DEMAND WEBINAR

      AI in Fintech:
      Driving Innovation, Inclusion and Impact 

      (in collaboration with Finovate)

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      Artificial intelligence is more than just the latest buzzword – using AI has a meaningful impact on decisions across the entire customer lifecycle. From improving fraud detection and decisioning accuracy to optimizing pricing and managing bias, AI has a key role to play in changing the way financial services products are developed and offered to customers.

      In this panel discussion, we’ll cover how AI can:

      • Improve fraud detection and identify pre-delinquency patterns
      • Power financial inclusion with alternative data
      • Enable business growth with faster onboarding and optimized pricing for a personalized, superior customer experience
      • Expand your customer base without increasing your risk

      Speakers:

      • Carol Hamilton

        Senior Vice President, Global Solutions, Provenir

      • Hakan Yilmaz

        EVP, Chief Data & Analytics Officer, Yapi Kredi

      • David Penn

        Research Analyst, Finovate


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      Cloud Computing: A Brief History and Its Evolution

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      Cloud Computing:
      A Brief History and Its Evolution

      Cloud Computing’s Humble Beginnings

      The concept of cloud computing is rooted in the mainframe computing era of the 1950s, where computer systems were massive and expensive to operate. It was during this time that virtualization, the precursor to cloud computing, was first introduced. Virtualization allowed multiple users to share a single mainframe computer, reducing costs and increasing efficiency.

      Virtualization remained a niche technology until the advent of personal computers in the 1980s. With the rise of the internet in the 1990s, the concept of remotely accessing computing resources over a network began to take shape. However, it wasn’t until the 2000s that cloud computing as we know it today began to emerge.

      Amazon Leads the Way

      In 2006, Amazon launched Amazon Web Services (AWS), a cloud computing platform that allowed businesses and individuals to access computing resources over the internet. AWS was the first cloud platform to offer on-demand computing resources, allowing businesses to scale up or down as needed, without having to invest in expensive hardware or software. AWS quickly gained popularity, and other cloud providers, such as Microsoft and Google, followed suit. Today, cloud computing has become a ubiquitous technology, with businesses of all sizes using it to power their operations.

      We’re already starting to see the emergence of the “super cloud” or “cloud +1,” which sits above the cloud, offering businesses a ready-to-go system. This new cloud architecture will need an easy-to-use visual front-end so that users can assemble cloud “building blocks” for a total solution.

      The Financial Industry and Cloud Computing

      The financial industry has traditionally been slow to adopt cloud technology. However, this is changing rapidly. In a Cloud Security Alliance survey last year, 61% of respondents admitted that a cloud strategy is only in the formative stages within their organization.

      With the capabilities cloud computing offers, banks and other financial institutions can’t afford to ignore the cloud. By using cloud computing, they can do more with less and reduce high in-house IT costs.

      Cloud computing has come a long way since its inception in the mainframe computing era. From its humble beginnings, it has evolved to become an integral part of modern-day technology, offering businesses and individuals unparalleled access to vast computing resources. As we look to the future, the next generation of cloud computing promises even greater.

      Cloud computing has come a long way since its humble beginnings in mainframe computing several decades ago. It has evolved to become an integral part of modern-day technology, offering businesses and individuals unprecedented flexibility and accessibility to vast computing resources. In this blog, we’ll explore the history and evolution of cloud computing, and how it has paved the way for a new generation of cloud computing that promises even greater value and automation.

      Leverage the Cloud to Accelerate Application Delivery

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      Navigating the Future: Unveiling the Keys to Successful Digital Transformation in Financial Services

      ON-DEMAND WEBINAR

      Navigating the Future:
      Unveiling the Keys to Successful Digital Transformation in Financial Services

      Book a Meeting

      In the dynamic landscape of the financial services industry, digital transformation has become imperative for organisations seeking to thrive in the digital age. We explore the essential keys to achieving a successful digital transformation journey within the financial services sector.

      Leading industry experts will delve into the intricacies of this transformative process, addressing key challenges and providing actionable insights to guide financial institutions towards a digitally empowered future.

      Key takeaways from the live discussion: 

      • How digitalisation is impacting financial services and how these institutions are being fundamentally challenged to keep up in today’s increasingly digitally focused market
      • Strategies for aligning organisational goals with digital objectives to foster a culture of innovation
      • The importance of placing customers at the centre of digital transformation efforts
      • Learn how to leverage customer insights, data analytics, and personalised experiences to enhance overall satisfaction and loyalty
      • Gain insights into building a robust technological infrastructure that supports scalability, agility, and seamless integration
      • Discuss best practices for continuous monitoring, evaluation, and adaptation in the digital era

       Embark on a successful digital transformation journey, to ensure sustained growth and competitiveness in an ever-evolving landscape.

      Speakers:

      • Peer Timo Andersen-Ulven

        Head of Analytics, Avida 

      • Keshnie July

        Credit Risk Practitioner

      • Jun Wai Des Lee

        Principal Consultant, Provenir

      Moderator:

      Adrian Pillay

      VP-Sales, MEA & Turkey, Provenir


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      Palenca

      Partners

      Palenca

      The First API for Payroll Data in Latin America

      Key Benefits

      • Make better underwriting decisions with payroll data. Palenca connects companies to user-permissioned employment data. Validate historical and real-time income data directly from user’s income and employment sources.
      • Easily validate identity and employment instantly. With Palenca, access your customers employment records with their credentials and their consent, helping reduce fraud and optimize your KYC process.

      Palenca, the Rirst Payroll API for Latin America.

      Palenca’s software strives to become the most widely integrated Payroll API system in all LATAM. Through integrations with gig-economy apps, HR, e-commerce, and government platforms, we can bring rich risk and income related user data to financial, insurance and recruiting firms in just a fragment of a second.

      With Palenca’s tool, companies can provide background checks, check payroll data, and real time behavior analysis for their end-users. Through these, firms can reinforce their internal evaluation processes for hiring and underwriting credit as well as access payment retention for loans and direct-deposit-switching for accounts.

      About Palenca

      • Services

        • Employment and identity verification
        • Income verification (historical & real-time)
        • Direct Deposit Switch
        • Automated payment collection settings for loan repayments
      • Regions Supported

        • Latin America

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      Leaning Into Innovation to Bring Newfound Speed and Accuracy to Credit Risk Modelling

      NEWS

      Leaning Into Innovation
      to Bring Newfound Speed and Accuracy to Credit Risk Modelling

      Leaning Into Innovation to Bring Newfound Speed and Accuracy to Credit Risk Modelling

      To really level-up decisioning, organizations need more data, more automation, more sophisticated processes, more forward-looking predictions and greater speed-to-decisioning. And to this end, they need AI, machine learning, and alternative data.

      In an article in Global Banking & Finance Review, Kim Minor, Senior Vice President, Global Marketing at Provenir, outlines the key findings of a survey which reveal a great state of uncertainty in credit risk modelling, underscoring the need for AI, machine learning, and alternative data.

      Read the full article at Global Banking & Finance Review.

      The Ultimate Guide to Decision Engines

      What is a decision engine and how does it help your business processes?

      Learn More


      LATEST NEWS

      Continue reading