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DATA SHEET: Fraud for Telco

Provenir: Application Fraud for Telcos

Holistic Fraud Detection with Comprehensive Subscriber View
Telcos globally are struggling with increasingly sophisticated fraud attempts fuelled in part by rapid digital transformation and exacting subscriber demands. But how can you stay ahead of evolving fraud tactics while ensuring a seamless customer experience for legitimate subscribers? Discover how Provenir’s Application Fraud solution enables you to detect fraud risk more accurately with a holistic, comprehensive view of your subscribers.
Discover how Provenir’s AI Decisioning can transform your telco business.

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NEWS: 2025 New Global Survey

New Global Survey Shows Nearly Half of Financial Services Executives Struggling to Manage Credit Risk and Detect and Prevent Fraud

AI is playing a prominent role in the revamp of credit risk decisioning
and fraud prevention strategies in 2025

Parsippany, NJ – February 12, 2025 – A new survey shows nearly half of all financial services executives are struggling with managing credit risk and detecting and preventing fraud. The survey also shows many are revamping their credit risk decisioning and fraud prevention strategies in 2025, with AI playing a prominent role.

These are among the key findings from the survey of nearly 200 key decision makers at financial services providers globally to understand their risk decisioning and fraud challenges across the customer lifecycle, decisioning investment priorities, and AI opportunities. The survey was conducted by Provenir, a global leader in AI Decisioning solutions.

Over half of all respondents plan to invest in risk decisioning solutions and AI/embedded intelligence in 2025 and beyond. At present, nearly 60% of respondents say they find it difficult to deploy and maintain risk decisioning models. 55% of executives recognize the value of AI to make streamlined strategy decisions, and in its ability to provide AI-powered performance improvement recommendations, and 53% see the value in the ability to automatically tune models to make better, more accurate decisions.

Key priorities for customer and account management are real-time, event-driven decisioning (65%), eliminating friction across the customer lifecycle (44%), and increasing customer lifetime value (44%).

Over half of respondents agree the biggest data challenge they face is being able to easily integrate data sources into decisioning processes.

Survey insights also reveal the pitfalls of operating multiple decisioning systems across the customer lifecycle. 59% of respondents say this is causing a lack of seamless data flow and unified insights, while 52% say it creates operational inefficiencies. Additionally, 28% said it contributes to an inconsistent customer experience.

When asked about data and fraud, 37% say they struggle with effective data orchestration for application fraud prevention, specifically in not being able to easily ingest and integrate new data sources, while 36% are challenged in using AI and machine learning for fraud prevention. Nearly one-third of respondents agree that the most important aspect for comprehensive fraud strategies is the ability to break down data silos between fraud and credit risk teams.

“Financial institutions are keenly aware of today’s increasingly complex threat landscape and must adopt new approaches for improved risk decisioning and fraud prevention across the customer lifecycle while providing frictionless and personalized customer experiences,” said Carol Hamilton, Chief Product Officer, Provenir. “With an AI decisioning platform more closely aligning credit and fraud risk teams, financial services executives can ensure holistic, end-to-end decisioning with a complete view of customers across the entire lifecycle.”

The survey was conducted November-December 2024; respondents were based in North America, EMEA, Latin America and Asia Pacific, holding the titles of manager, director, vice president, or above.

The full report of the survey findings can be found here.

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Survey: 2025 Global Risk Decisioning Survey

Survey: 2025 Global Risk Decisioning Survey

What are the key challenges and priorities for financial services providers in 2025 and beyond?
Provenir surveyed nearly 200 key decision makers at financial services providers globally, including Chief Risk Officers, CEOs, VPs, Senior Directors, Managing Directors, Decision Scientists, Heads of Risk, IT, Fraud and more.

The results highlight:

  • Their risk decisioning and fraud challenges across the customer lifecycle
  • Decisioning investment priorities
  • AI opportunities
Get the insights now.
Ready to shape the future of your decisioning with AI?

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BLOG: Unlocking Success in Poland’s Lending Revolution

Thriving Through Change: Unlocking Success in Poland’s Lending Revolution

Adapting to Rising Rates, Evolving Borrower Needs, and the Power of Technology in a Dynamic Market
  • Mark Collingwood
    Vice President, Sales

Poland’s economic landscape is undergoing significant change, with rising inflation and interest rates (as of December 2024, the annual inflation rate increased from 4.7% to 4.8% the month before, indicating persistent inflationary pressures). Likewise, mortgage interest rates are also on the rise, with the average rate in the country reaching 7.16% in late 2024, up from just 2.27% in December of 2022. While this economic shift presents both challenges and opportunities for lenders in Poland, one thing is clear – to navigate this evolving environment successfully, financial services providers must look to innovative and agile approaches that address changing borrower needs while still effectively mitigating risk. In this blog, we’re looking more closely at this shift, and how you can ensure your business thrives amidst uncertainty.

The Impact of Economic Shifts on Lending in Poland

There’s notable turbulence in Poland’s economy, driven by persistently high inflation and elevated interest rates. At the end of last year, inflation remained high, impacting consumer purchasing power and financial stability. And mortgage rates, which have exceeded 7% for many borrowers, adds further strain to household budgets, making lending challenging for both consumers and lenders. With rising costs like this, potential homebuyers are forced to reassess affordability, which then has the domino effect of slowing down the mortgage market and reshaping the overall lending landscape.

On top of economic pressures, the regulatory environment in Poland is tightening its grip to ensure financial stability. The Polish Financial Supervision Authority (KNF) plays a pivotal role, introducing policies to strengthen risk management and promote financial resilience. Some of these initiatives include enhanced creditworthiness assessments and stricter compliance measures, with the aim to mitigate systemic risks while encouraging responsible lending practices.

But these regulations can present operational challenges for lenders. Balancing regulatory compliance with providing accessible, competitive loan products can be tricky – highlighting the importance of both efficiency and innovation in navigating lending in complex economic situations. Collaboration with regulatory bodies, paired with strategic investments in decisioning technology, will be essential for lenders who want to future-proof their lending strategy.

Evolving Borrower Dynamics: Embracing Flexibility and Digital Innovation to Stay Competitive

Borrowers in Poland are increasingly seeking alternative financing solutions that provide greater flexibility and personalization. Traditional, rigid lending structures are out. Instead, driven by consumers’ desire for financial products that align with their own unique needs and circumstances, budget-conscious borrowers are now prioritizing loan options that offer more adaptable terms and personalized services. To meet these shifting demands, you have to embrace the opportunity to develop and offer:

  • Flexible Loan Products: Options like adjustable-rate mortgages and payment holidays help borrowers seeking more adaptable repayment plans.
  • Personalized Financial Solutions: Tailor loan offerings to individual borrower profiles to enhance customer satisfaction and loyalty.
  • Digital Accessibility and User-Friendly Platforms: Invest in intuitive digital platforms, keeping in mind the implementation of the European Accessibility Act (EAA), which mandates accessibility requirements for products and services (including digital interfaces).

How do you accomplish this? By leveraging advanced technologies, especially artificial intelligence (AI) and machine learning (ML), to transform your credit assessment and fraud detection processes.

AI-driven systems can process vast amounts of financial data in real time, utilizing advanced ML algorithms to identify patterns and anomalies that indicate a borrower’s potential credit risk. Predictive models can analyze spending behavior, transaction history, and even social media data, enabling more accurate credit risk assessments – and more informed lending decisions.
And when it comes to that ever-present thorn in the side of lenders everywhere, fraud, AI/ML offers critical help. Analyzing extensive datasets quickly allows these systems to detect unusual patterns and behaviours that can signal fraudulent activity, allowing for prompt intervention. Fraud detection strategies that incorporate AI have even been shown to improve accuracy in distinguishing between human errors and genuine fraud attempts, reducing unnecessary interventions and false alarms (and saving you time and people-power in the process).

Using advanced technologies like AI/ML is helping to drive digital transformation in lending, and allows for more customer-centric processes:

  • Adoption Rates: Poland is leading central Europe’s digital transformation, with many financial institutions having invested in digital transformation initiatives, recognizing the importance of digital transformation and reflecting a commitment to modernizing operations and enhancing service delivery.
  • Rise of Digital Banking: Digital banking has become the primary channel for financial transactions for many Poles. In 2024, online banking penetration in Poland reached 65%.
  • Successful Digital Lending Initiatives: Poland has witnessed the emergence of innovative digital lending platforms that streamline the borrowing process. For instance, the mobile payment system BLIK allows users to make instant payments and withdraw cash using their standard mobile banking app, enhancing the efficiency and convenience of financial transactions.
  • Streamlining Loan Applications and Approvals: The adoption of AI and digital platforms has revolutionized the loan application process. Automated systems enable quicker approvals by efficiently analyzing applicant data, reducing the time from application to disbursement.
  • Building Trust and Engagement: User-friendly digital platforms enhance customer experience, fostering trust and engagement. Features like personalized dashboards, real-time notifications, and responsive customer service contribute to higher customer satisfaction and loyalty.

Embracing strategies like these will allow you to position yourselves more competitively – all while you enhance operational efficiency, improve risk management, and deliver superior customer experiences.

Riding the Risk Wave: Smart Strategies for Lending Success in Poland

The strain that high inflation and interest rates places on borrowers increases the risk of loan defaults, whether those loans are mortgages or otherwise. When things are shifting, reactive strategies are no longer sufficient. But adopting a more proactive risk management approach, powered by advanced technologies and strategic partnerships, can help you get (and stay) ahead of these pressures:

  • Strengthen Borrower Assessments

    Enhance underwriting processes by integrating AI-driven tools that evaluate real-time borrower data for more accurate risk profiling.
  • Offer Flexible Repayment Options

    Payment holidays or loan restructuring options can support borrowers facing temporary financial challenges, helping to prevent defaults.
  • Adopt Early Warning Systems

    Proactive monitoring of repayment behaviors can flag potential issues early, allowing for timely interventions and tailored borrower support.
  • Real-Time Analytics and Predictive Modelling

    Tools like Provenir’s AI Decisioning platform empower lenders with the ability to analyze data streams in real-time, identify emerging risks, and predict future trends. This enables precise adjustments to lending strategies before problems escalate.

  • Balance Growth with Risk Mitigation

    Sustainable growth requires a dual focus on expanding lending portfolios while maintaining robust risk controls. Leveraging predictive analytics ensures lenders can scale responsibly without exposing themselves to unnecessary risks.

  • Partner With Technology Providers

    Partnerships with tech companies drive innovation, offering solutions for automating credit assessments, fraud detection, and compliance processes.
  • Regulatory Collaboration

    Working with regulatory bodies, such as the Polish Financial Supervision Authority (KNF), ensures compliance with evolving rules and builds trust with stakeholders.
Managing risk in Poland’s uncertain lending environment requires lenders to stay ahead of challenges through innovation, collaboration, and proactive strategies. By leveraging real-time analytics, fostering partnerships, and aligning with regulatory frameworks, lenders can strike the delicate balance between growth and risk mitigation, ensuring long-term success in an ever-changing market.

compliance icon

KNF Initiatives

The KNF is spearheading efforts to enhance Poland’s financial infrastructure, ensuring the industry can adapt to current challenges:

  • Digital Infrastructure Improvements: Investments in digital infrastructure, including secure data-sharing platforms, streamline operations and improve resilience.
  • Data-Sharing Frameworks: By encouraging transparency and collaboration among financial institutions, KNF initiatives reduce risks while fostering a culture of shared accountability.

Rising to the Occasion: Lending Strategies for Poland’s Future

There is a lot of positivity on the horizon for Poland – the outlook for 2025 is strong, with the Organisation for Economic Co-operation and Development (OECD) projecting a GDP growth rate of 2.4%. This expansion will help invigorate the lending market, and the country’s digital economy is already on a rapid ascent, thanks to the widespread adoption of e-commerce, mobile payments, and online banking tech. The digital economy is predicted to reach $87 billion this year, and over $130 billion by 2030. With a tech-savvy population that is increasingly looking for innovative financial solutions, the runway of opportunity for lenders that adapt to these preferences is long and healthy.

To fully take advantage of what digital transformation in Poland has to offer, consider these strategies:

  • Stay Agile in Adapting to Economic and Regulatory Changes:
    The dynamic nature of Poland’s economy and regulatory environment means you need to remain flexible and responsive. Implementing adaptive business models and staying informed about policy shifts are crucial for sustained success.
  • Leverage Technology to Prioritize Customer Needs and Experiences:
    Embracing digital tools can enhance customer interactions and streamline operations. For instance, the rise of neobanking in Poland is projected to grow by 10.86% between 2025 and 2028, reaching a market volume of $35.82 billion by 2028.
    This trend underscores the importance of digital accessibility and user-friendly platforms in meeting customer expectations.
  • Develop Sustainable, Customer-Focused Lending Practices:
    Offering personalized financial products that cater to individual borrower profiles can foster customer loyalty and drive growth. Flexible loan options and transparent communication are key components of a customer-centric approach.

Poland’s lending market presents a challenging yet promising landscape. Lenders who embrace digital transformation, proactively manage risk, and prioritize borrower-centric innovation will not only navigate economic uncertainties but also seize opportunities for growth. One of the best measures of future-proofing success? The right technology partner.

Provenir’s AI Decisioning platform is uniquely positioned to empower lenders in Poland to thrive in this dynamic environment. By harnessing the power of AI and machine learning, our platform enhances fraud detection, streamlines credit risk assessment, and delivers real-time insights to help you make faster, more informed decisions.

Discover how our AI decisioning platform can help you drive operational efficiency, mitigate risk, and foster stronger customer relationships.

Learn More

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BLOG AI Round up

BLOG: Shaping the Future of Decisioning

Shaping the Future of Decisioning: How These Leading Financial Services Providers are Making Bold Moves to Win Big with AI

The use of artificial intelligence (AI) has changed the entire world, in both big and small ways. Financial services is now increasingly looking to AI when it comes to risk decisioning – everything from whether to approve a loan application or increase a credit limit to fundamental decisions on whether a ‘customer’ is a fraud or not. Whether you are looking to streamline credit evaluations or improve customer experiences, the results are clear – big wins happen when organizations are ready to make bold moves in their adoption of AI. Harnessing the power of AI allows you to achieve measurable gains in efficiency, accuracy, and agility – and shape the future of decisioning. We’re looking at ten financial services providers around the globe who are leveraging AI to transform their operations, mitigate risks, and deliver exceptional value to their customers.

commbank

Commonwealth Bank of Australia (CBA)

An Australian multinational bank, CBA is one of the leading banks in the region, serving more than 17 million customers. With a recent mammoth investment in advanced tech (the bank spends about $1 billion per year on growth-focused technology), CBA has integrated AI across various operations including fraud detection and customer service. They are using it to resolve 15,000 payment disputes lodged by customers every day (reducing call center waits by 40%), and in some cases have reduced the time it takes to approve small business loans to under ten minutes thanks to AI.

jpmorganchase

JPMorganChase

Serving millions of customers in over 100 global markets for more than 200 years, JPMorganChase has long been on the cutting-edge of using tech in its business. Now, the company is using an advanced AI system to automate key aspects of the loan approval process, using machine learning to analyze various data points to enhance the speed and accuracy of credit assessments. Overall, the company is focused on using AI for a variety of efficiencies across the business, with chief executive Jamie Dimon claiming AI tech could cut the working week to only 3 ½ days.

bank of america

Bank of America

One of the world’s leading financial institutions, Bank of America serves everyone from individuals and small businesses to massive corporations and governments with a full range of banking and investment products and services. Recently, it has invested over $3 billion in Generative AI capabilities to enhance operations, and its AI-powered fraud detection system has been able to reduce credit card fraud losses by 45% (which translated to an estimated $500 million saved in 2024 alone).

bmo

BMO

As part of Canada’s tightly controlled banking landscape, BMO is one of the country’s top financial institutions (and the 8th largest bank in North America by assets), offering 13 million customers a variety of products and services. BMO has been utilizing AI to improve report creation times and operational efficiency, recognizing streamlined processes with improvement to revenue and significant cost savings. The use of AI has been able to reduce manual effort on BMO’s equities team from more than four hours a day to less than one, freeing up time for more strategic tasks.

Schroders Capital

Schroders Capital

UK-based Schroders Capital is the private markets investment division of Schroders, with $97 billion in assets under management across private equity, private debt, and more. In 2024 they announced the launch of their Generative AI Investment Analyst (GAiiA) platform, aimed at improving accuracy and speeding up analysis of large volumes of data, and allowing their investment specialists to focus more strategically on delivering value to clients.

capital one

Capital One

Known for revolutionizing the credit card industry with data and tech, Capital One is one of the most recognized banking brands, serving over 100 million customers in a variety of locations. And now, they are also leading in AI adoption among large banks in the Americas and Europe. Their significant investments in AI help them understand customers’ needs and have greatly enhanced their decision-making processes. They are also using AI for real-time fraud prevention and detection, using advanced algorithms to handle evolving fraud threats and reduce false positives.

itau

Itaú Unibanco

As the largest bank in Brazil, Itau Unibanco has been at the forefront of digital transformation in the region, investing heavily in AI to enhance customer service and operational efficiency. In using AI, they have been able to personalize customer interactions, improve credit scoring, and enhance fraud detection and prevention, resulting in robust financial performance and their continued market dominance.

Santander

Santander Bank

One of the largest financial institutions globally, Santander Group features over 170 million customers in Europe and the Americas, 3.5 million shareholders, and over 200,000 employees. Faced with the threat of rising loan defaults, Santander has adopted a more proactive approach with the use of AI-powered predictive analytics. Using AI models that digest a combination of historical data and real-time account monitoring, they are able to identify and intervene earlier, offer tailored advice to customers, and optimize their resource allocation for improved efficiency.

dbs

DBS Bank

Based in Singapore, DBS Bank is a multinational organization, and one of the largest banks in Asia, with over 40,000 employees in 19 markets. Widely recognized for their digital transformation efforts, DBS Bank is using AI for credit risk assessment, personalized marketing, and enhanced customer service experiences through the use of AI-powered virtual assistants. With their AI-driven strategies, they have improved customer satisfaction and increased operational efficiency, contributing to their reputation as a market leader.

cimb

CIMB

Malaysia-headquartered CIMB is actively incorporating AI into its banking services, using advanced analytics and machine learning models for credit scoring, fraud detection, and chatbots for enhanced customer engagement. Thanks to AI, CIMB (the fifth largest banking group in ASEAN with over 26 million customers, and a world leader in Islamic finance) has been able to make more accurate credit assessments and improve fraud detection rates across a variety of business lines.

Whether you are looking for faster, more accurate credit assessment, the ability to better keep up with evolving fraud threats, or the capability to offer more personalized, tailored experiences for your customers, AI is what is going to get you there. The organizations highlighted here are just some of the companies leading the way, demonstrating how leveraging AI decisioning is a necessity for future-proofing your growth. With Provenir’s AI Decisioning Platform, financial services providers can leverage advanced analytics, machine learning, and real-time insights to make faster, more accurate decisions across the entire customer lifecycle. It can be daunting to think about implementing AI, but there are immediate steps you can take now to start taking advantage of the opportunities AI offers.

Ready to shape the future of decisioning with AI?

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Roundtable: Transform Onboarding with Data Agility, Real-Time Decisioning, and Seamless Integration

Live Roundtable: Transform Onboarding with Data Agility, Real-Time Decisioning, and Seamless Integration

The Ritz-Carlton Jakarta, Indonesia

20th February 2025
11:00am – 2:00pm
The Ritz-Carlton Jakarta, Indonesia

Why Attend?

Indonesia’s digital economy is booming, with a projected value of $146 billion in 2025. However, challenges such as fraud, compliance burdens, and inefficient onboarding processes threaten to slow this momentum.

This roundtable will provide insights into:

  • Accelerating onboarding processes while maintaining accuracy and compliance
  • Leveraging data agility to adapt to evolving fraud patterns and customer needs
  • Streamlining workflows with centralized data integration and real-time decisioning

What to Expect:

  • Insights on Onboarding Challenges:

    Learn how to tackle customer drop-offs, fraud threats, and compliance complexities specific to Indonesia.
  • Data Agility in Action:

    Discover how agile data models and flexible data sources enhance decision-making and adaptability.
  • Simplified Integration:

    Understand how a single API streamlines workflows by accessing global and local data sources.
  • Fraud Mitigation Strategies:

    Explore real-time decisioning tools to prevent fraud while maintaining a seamless customer experience.
  • Operational Excellence:

    Gain actionable tips to automate workflows, reduce costs, and scale onboarding processes for growth.
  • Indonesia-Specific Strategies:

    Uncover practical approaches to addressing unique onboarding challenges in Indonesia’s financial landscape.
  • Adapting to Market Demands:

    Learn how data agility can help businesses stay ahead of evolving fraud patterns and market trends.
  • Networking Opportunities:

    Connect with industry leaders and peers to share insights and best practices.
Agenda:
  • 11am – 11:30am

    Arrival and Networking
  • 11:30am – 11:45am

    Opening Remarks – Overview of Indonesia’s onboarding challenges.
  • 11:45am – 12:30pm

    Keynote Presentation – “Transforming Onboarding in Indonesia’s Digital Economy”
  • 12:30pm – 1:30pm

    Interactive Roundtable and Lunch – “Future-Proofing Onboarding with Data Agility”
  • 1:30pm – 2:00pm

    Closing Remarks

Seats are limited for this exclusive roundtable. Don’t miss this opportunity to gain valuable insights and network with industry leaders.

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EBOOK: How Telcos Can Boost Revenue Without the Risk

Dial Into Profit: How Telcos Can Boost Revenue Without the Risk

Harnessing Intelligent Decisioning to Elevate Subscriber Value and Reduce Losses
The challenges in the telco world keep increasing. Are you struggling to:
  • Manage ever-evolving fraud tactics?
  • Streamline credit assessments across diverse subscriber segments?
  • Decrease vulnerability to account defaults?
  • Reduce the risk of subscriber churn?
This is where having the right decisioning technology is key. Get the eBook for more info on how advanced, intelligent decisioning solutions will enable you to:
  • Maximize activations
  • Reduce friction in onboarding
  • Mitigate revenue losses and more effectively combat fraud
  • Personalize subscriber experiences and maximize customer lifetime value
  • Optimize collections treatment strategies to minimize bad debt
Want more info on how Provenir’s AI-Powered Decisioning platform can transform your telco business?

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NEWS: It’s Dentistry’s Turn to Open Wide: Provenir partners with dental service organization to improve customer service and revenue generation

It’s Dentistry’s Turn to Open Wide: Provenir partners with dental service organization to improve customer service and revenue generation

Dental service organizations (DSOs) struggle with the lack of payment plans available for their patients, which eats into revenue generation and impacts the customer experience. The answer? Partnering with cutting-edge technology providers and utilizing advanced tech like AI to create an in-house “mini-fintech” – and greatly improve the patient experience. Read the article in Boss Magazine to hear about how Provenir and a leading DSO collaborated to revolutionize the credit decision-making process.

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Streamlined Application Fraud and Identity Management for Auto Lenders

Streamlined Application

Fraud and Identity Management for Auto Lenders

Reduce friction and prevent fraud losses, with dynamic data orchestration, automated decisioning, and integrated investigation handling.

Book a Meeting

  • sofi

    sofi

  • GM Financial

    gm

  • BBVA

    bbva

  • Novuna

    novuna

  • FlexiPlan

    flexiplan

  • Telia

    telia

  • Resurs

    resurs

  • Meridian

    meridian

  • dun and bradstreet

    d and b

  • tbi bank

    tbi

  • New Day

    new day

QuickFinans

48%

automation rate
in auto lending

Deliver frictionless auto lending experienceswithout sacrificing your fraud detection power. Automate your fraud and identity data integration and orchestration, streamline your decisioning, and enable seamless case management for the confidence to say yes more and drive automotive business growth.

135%

of high-risk transactions stopped

flexiplan

40%

business growth

Deliver frictionless auto lending experiences – without sacrificing your fraud detection power. Automate your fraud and identity data integration and orchestration, streamline your decisioning, and enable seamless case management for the confidence to say yes more and drive automotive business growth.
  • QuickFinans

    Quick Finans

    48%

    automation rate in auto lending
  • mtn

    MTN

    135%

    of high-risk transactions stopped
  • flexiplan

    Flexiplan

    40%

    business growth

Trusted automotive lending fraud and identity solutions with proven business benefits:

  • Minimize Friction for Streamlined Onboarding

    Deliver frictionless customer experiences to improve customer satisfaction and streamline the auto financing process.

    • Reduce False Positives:
      Use a layered approach to reduce false positive rates and quickly differentiate genuine customers from fraudsters, minimizing interruptions during the onboarding experience.
    • Accelerate Identity Verification:
      Leverage automated identity verification to support real-time decision-making for rapid customer onboarding.
    • Streamline Investigations:
      Enable frictionless customer experiences with integrated case management for rapid investigations into intent to pay.
    • Automate Approvals:
      Fully automate fraud and identity processes to support real-time approvals and gain a competitive advantage.
  • Reduce Losses, Optimize Growth

    Turn “must-do” fraud processes into a growth enabler with the combined power of dynamic data orchestration and intelligent automation for smarter decisioning.

    • Minimize Losses:
      Improve automotive fraud detection with decisions based on multiple layers of fraud detection capability and control how and when multiple layers are used.
    • Maximize Growth:
      Attract and retain more satisfied customers, directly contributing to business expansion, by ensuring a secure and efficient onboarding process.
    • Accelerate Approvals:
      Streamline customer verification with rapid, real-time fraud detection for faster service delivery and improved satisfaction.
    • Enhance Efficiency:
      Leverage automation to reduce manual fraud checks, allowing for more strategic allocation of resources towards growth initiatives.
  • Smarter Detection, Greater Agility

    Take control of your automotive fraud strategy with a low-code, end-to-end decisioning platform that brings together data, decisioning, and case management into one solution.

    • Sustain Detection Power:
      Ensure continuous improvement in fraud, identity and compliance risk models with AI model creation, monitoring, testing, and optimization.
    • Simplify Fraud Management:
      Reduce the complexity of managing multiple fraud tools with one solution to power an end-to-end view of the customer across the lifecycle.
    • Adapt Easily:
      Rapidly respond as new threats emerge with easily configurable rules.
    • Test With Ease:
      Easily assess changes for iteration with Champion/Challenger testing of your fraud risk models.
    • Innovate with Confidence:
      Trust your fraud processes to manage risk as you explore new opportunities to drive growth across your product portfolio.
  • Minimize Friction for Streamlined Onboarding

    Deliver frictionless customer experiences to improve customer satisfaction and streamline the auto financing process.
    • Reduce False Positives:
      Use a layered approach to reduce false positive rates and quickly differentiate genuine customers from fraudsters, minimizing interruptions during the onboarding experience.
    • Accelerate Identity Verification:
      Leverage automated identity verification to support real-time decision-making for rapid customer onboarding.
    • Streamline Investigations:
      Enable frictionless customer experiences with integrated case management for rapid investigations into intent to pay.
    • Automate Approvals:
      Fully automate fraud and identity processes to support real-time approvals and gain a competitive advantage.
  • Reduce Losses, Optimize Growth

    Turn “must-do” fraud processes into a growth enabler with the combined power of dynamic data orchestration and intelligent automation for smarter decisioning.
    • Minimize Losses:
      Improve automotive fraud detection with decisions based on multiple layers of fraud detection capability and control how and when multiple layers are used.
    • Maximize Growth:
      Attract and retain more satisfied customers, directly contributing to business expansion, by ensuring a secure and efficient onboarding process.
    • Accelerate Approvals:
      Streamline customer verification with rapid, real-time fraud detection for faster service delivery and improved satisfaction.
    • Enhance Efficiency:
      Leverage automation to reduce manual fraud checks, allowing for more strategic allocation of resources towards growth initiatives.
  • Smarter Detection, Greater Agility

    Take control of your automotive fraud strategy with a low-code, end-to-end decisioning platform that brings together data, decisioning, and case management into one solution.
    • Sustain Detection Power:
      Ensure continuous improvement in fraud, identity and compliance risk models with AI model creation, monitoring, testing, and optimization.
    • Simplify Fraud Management:
      Reduce the complexity of managing multiple fraud tools with one solution to power an end-to-end view of the customer across the lifecycle.
    • Adapt Easily:
      Rapidly respond as new threats emerge with easily configurable rules.
    • Test With Ease:
      Easily assess changes for iteration with Champion/Challenger testing of your fraud risk models.
    • Innovate with Confidence:
      Trust your fraud processes to manage risk as you explore new opportunities to drive growth across your product portfolio.
Resources to dig a little deeper

Discover how Provenir’s robust fraud solutions can optimize your auto lending strategy.

  • auto fraud blog

    BLOG

    The Growing Threat of Fraud in Auto Lending and How to Combat it.

    Read the Blog

  • fraud thumbnail

    INFOGRAPHIC

    Stop Auto Fraudsters in Their Tracks.

    Get the Infographic

  • Provenir for Fraud

    DATA SHEET

    Optimized Data Orchestration. One Holistic Platform for Fraud and Credit Risk.

    Learn More

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