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Adiante Recebíveis gains agility, flexibility and efficiency in risk decisioning with Provenir’s AI Solution

Case Study

Adiante Recebíveis gains agility, flexibility and efficiency in risk decisioning with Provenir’s AI Solution

Adiante Recebíveis is a credit fintech created in 2018 and part of the GCB Group. Operating in the Brazilian financial scenario, it helps companies of all sizes to anticipate receivables and optimize their accounts receivable.Specifically, it serves companies involved in installment sales that need immediate cash, without resorting
to loans.
Discover how Provenir’s Decisioning Platform can transform your business.

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Jeitto case study

Credit Journey Optimization with AI: Jeitto Doubles Portfolio and Reduces Default with Provenir Technology

Case Study

Credit Journey Optimization with AI: Jeitto Doubles Portfolio and Reduces Default with Provenir Technology

Jeitto is a digital credit and services platform aimed at people who do a lot with little, granting financial resources in an uncomplicated, fast and secure manner to more than 9 million customers. Jeitto is headquartered in São Paulo, Brazil and was founded in 2014.
Discover how Provenir’s Decisioning Platform can transform your business.

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webinar collections

Webinar: Optimizing Collections with Advanced Decisioning Solutions

On-Demand Webinar

Optimizing Collections with Advanced Decisioning Solutions

The ability to efficiently manage the collections process is critical to maintaining profitability and customer relationships. But credit recovery remains a challenge for companies in North America. With regulatory scrutiny, rising credit losses, and customer expectations evolving rapidly, traditional collections methods fall short. Financial services providers must adapt to modern, data-driven strategies to stay competitive.

Join our exclusive live webinar on December 5th, “Optimizing Collections with Advanced Decisioning Solutions,” where we’ll explore how advanced analytics, machine learning, and cloud-native platforms can transform your collections strategies. Learn from industry experts as they share actionable insights on leveraging cutting-edge technology to predict customer behavior, tailor communications, and optimize recovery outcomes in real-time.

Key Takeaways
  • Understanding the Modern Collections Landscape: Learn how rising operational costs, regulatory pressure, and customer demands are reshaping collections practices.
  • Harnessing Machine Learning in Collections: Discover how machine learning can improve recovery rates by predicting customer behavior and recommending the best treatments.
  • Optimizing Communication Channels and Timing: Uncover the power of advanced decisioning to choose the right message, channel, and time to engage delinquent customers effectively.
  • Boosting Profitability through Advanced Analytics: Explore real-world case studies demonstrating how integrating AI and data science leads to significant improvement in recovery rates.
Join us for this informative session to see the ways leading financial services providers are modernizing their collections approach to reduce losses, lower operational costs, and enhance customer experience.
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Speakers
  • andy

    Andy Beddoes

    Provenir

    Principal Consultant
  • sam

    Sam Rohde

    Provenir

    Director, PreSales North America

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AFN webinar

Webinar: Mitigating Application Fraud in Africa

Mitigating Application Fraud in Africa: A Holistic Approach with a Decision Platform

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The African market, characterized by rapid digital growth and increasing financial inclusion, is facing a surge in application fraud. Traditional fraud prevention methods are struggling to keep pace with the evolving tactics of fraudsters. This webinar will explore how a holistic onboarding decision platform can revolutionize fraud prevention in Africa.

We will discuss the key challenges of application fraud in the African context, including identity theft, synthetic fraud, and social engineering attacks. We will then delve into how a decision platform can address these challenges by:

  • Orchestrating rich data: Leveraging diverse data sources to gain a comprehensive view of applicants and identify suspicious patterns.
  • Creating complex rules: Developing sophisticated rules to detect anomalies and flag potential fraudulent activities.
  • Incorporating machine learning: Utilizing machine learning algorithms to continuously learn from new data and adapt to emerging fraud trends.
  • Enabling effective decisioning: Providing a case management system that facilitates efficient investigation and resolution of fraud cases.

By adopting a holistic approach with a decision platform, organizations can enhance their fraud prevention capabilities, protect their businesses, and ensure a positive customer experience in the dynamic African market.

Moderator

Adrian Pillay

Provenir

Director of Sales, MEA&T
Panelists
  • Mariama Jalloh-Heyward

    Mariama Jalloh-Heyward

    Alliance for Innovative Regulation (AIR)

    Program Director
  • Jason Abbott

    Jason Abbott

    Provenir

    Director of Fraud Solutions

LATEST WEBINARS

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Qorus News

News: Qorus NewTech

Qorus NewTech Friday: Provenir – Offering Banks Intelligent Decision-Making Solutions

How did Provenir begin, and what’s next for us? Our Chief Product Officer, Carol Hamilton, sat down with Qorus for a chat on what led to the creation of Provenir’s AI-powered risk decisioning platform, how we’ve evolved, and where we’re headed next. Read on for more info on how we’re expanding our capabilities in decision intelligence and how we’re helping financial services providers not only react to risks and opportunities, but better predict them.

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Offering Banks Intelligent Decision-Making Solutions

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instabank

Customer Story: Instabank

instabank

Instabank, the Nordic challenger bank, has been redefining the banking experience since its full digital launch in Autumn 2016. Their passionate team is dedicated to improving banking for both corporate and private customers, challenging established norms, and providing flexible solutions that simplify complexity.

  • Industry
  • Region
  • Countries

    Nordics

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition

Customer Timeline
Land MRR: $5,500
Land PS: 0
Expand MRR: $18,045
Expand PS: $22,500
  • Opportunity Created
    December 2016
  • Opportunity Won
    2017
  • Go-Live
    June 2017
  • Customer Expansion
    • Originations SME
    • Consumer Loans, 26-6-2017
    • Cloud 1, 2017
    • Cloud 1 expansion -2021
    • Cloud 2.0 Migration – 2022
    • Cloud 2.0 Expansion – 2024
Initial Opportunity Details

  • Customer Challenge

    Since opening its digital doors in 2016, Instabank has become a disrupter in the Nordic banking community. One of its key products is instantly approved, direct-to-consumer, unsecured loans. The bank also partners with retailers to provide real-time point-of-sale loans to their customers. Initially, the bank used a traditional lending solution with thousands of lines of code. As a digital “challenger” bank, Instabank needed a platform that would not only enable instant decisioning, but also offer the flexibility and scalability to support the company’s rapid growth.

  • Provenir Approach

    Provenir provided some key benefits from implementing the platform.

    • The Provenir Risk Decisioning Platform delivers a flexible solution for Instabank’s digital banking services.
    • Automated process gathers data from multiple sources and decisions each loan application in a minute.
    • Flexible, business-focused design tools substantially reduce time and costs for developing country-specific banking solutions.
    • Pre-configured integration adaptors enable real-time data gathering from Experian and a European property data provider.
    • Cloud-based implementation enables rapid deployment with controlled costs.
  • Provenir Impact

  • Competitors

    Experian
  • Why We Won

    • Ease of use
    • Data integration
    • Ability to onboard new product lines
  • Pain Points

    • Current solution is mainly hard coded
    • Data integration is cumbersome
    • Lack of in-market support
Customer Growth

Growth Opportunities

  • Looking to grow and expand the business lines
  • Deposit account
  • Financing of cars and boats
  • Credit cards +
  • Debit Cards
  • Sales Financing
  • Factoring

Expansion

Cloud 2 Expansion

Example Decisioning Flows
  • New Application

    Decisioning

  • Identity & Verification Checks

    Decisioning

    • Experian
    • emailage
  • Enrichment

    Decisioning

    • nudata
    • IDology
    • SentiLink
  • High Risk Patterns & Scoring

    Decisioning

    Application fraud
    Rules and AI Model

    Auto Accept
    Auto Decline
    Referrals

  • Fraud Investigation

    Decisioning

    Case Management
OTHER CUSTOMER STORIES

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Marginalen bank

Customer Story: Marginalen

Marginalen bank

Improving margins for our customers is in our DNA, we are passionate about seeing people and businesses grow. Our roots go back to 1979, and since Marginalen was formed in the early 90s, we have grown by our own power. In connection with Marginalen acquiring Citibank’s Swedish consumer bank in 2010, Marginalen Bank was formed.

Large Mortgage lender covering the Nordic market, formed in early 1990s and acquired Citibank’s Swedish consumer business in 2010.

  • Industry
  • Region
  • Countries

    Nordics

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition

Customer Timeline
Land MRR: $22,500
Land PS: N/A
Expand MRR: $35,500
Expand PS: $9,000
  • Opportunity Created
    2016
  • Opportunity Won
    May 2017
  • Go-Live
    2018
  • Customer Expansion
    • Originations
    • Private, Mortgage, Consumer, Corporate, Credit Cards
    • Expansion 2021
    • Cloud 2.0 2024
Initial Opportunity Details

  • Customer Challenge

    Marginalen offers multiple credit products, each with their own credit originations process. Response time was a major issue and almost all mortgages had extensive manual review. Current technology and 3rd party vendor reliance restricted speed of change and flexibility to meet new and emerging product needs. Limited ability to scale constrained company growth.

  • Provenir Approach

    • Utilized Provenir’s business-user driven decision engine to increase self-sufficiency and reduce 3rd party costs.
    • Made extensive use of Provenir’s configurable adaptors to allow Marginalen Bank to connect to multiple data sources efficiently.
    • Increased self-reliance enabled rapid deployment of new decision services, increasing decision confidence and decision automation.
  • Provenir Impact

    • 90% automation across all products’ credit approval processes, resulting in 25% operational staff reduction
    • 30% + automation in larger value commercial lending
    • Fastest response times in the market placed them at the top of the broker funnel
    • Achieved self sufficiency for all credit policy changes. Credit committee approved changes are live in less then 72 hours.
  • Competitors

  • Why We Won

    • Ease of use
    • Speed of change
    • Self-sufficiency
    • Simple integration approach
  • Pain Points

    • Slow pace of change
    • Overreliance on vendors
    • Restrictive technology
    • Data integration restrictions
Customer Growth

Growth Opportunities

Expansion

Example Decisioning Flows
  • New Application

    Decisioning

  • Identity & Verification Checks

    Decisioning

    • Experian
    • Emailage
  • Enrichment

    Decisioning

    • nudata
    • IDology
    • SentiLink
  • High Risk Patterns & Scoring

    Decisioning

    Application fraud
    Rules and AI Model

    Auto Accept
    Auto Decline
    Referrals

  • Fraud Investigation

    Decisioning

    Case Management
OTHER CUSTOMER STORIES

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banco promerica

Customer Story: Banco Promerica

Banco Promerica Costa Rica is part of Grupo Promerica that boasts an impressive presence across eight Central & South American countries, serving over 2.6 million clients with a robust network of branches and ATMs. With total assets exceeding US$18 billion and equity surpassing US$1.45 billion, they represent a valuable addition to our growing client base in the banking industry.

  • Industry
  • Region
  • Country

    Costa Rica

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition

Customer Timeline
Land MRR: $18K
Land PS: $91,140
Expand MRR/PS: N/A
  • Opportunity Created
    August 4, 2023
  • Opportunity Won
    February 13, 2024
  • Go-Live
    In Implementation
  • Customer Expansion
    • Expansion planned for additional countries
Initial Opportunity Details

  • Customer Challenge

    To support their ambitious plans, Promerica needed a more flexible decision engine solution to manage their credit policies and decision-making. Their current process is highly manual, lacking the flexibility required to support their digital lending goals. A gap existed between their strategic objectives and the technical capabilities necessary to quickly implement decision rules tailored to their risk appetite and data requirements, and to scale as needed.

    The transition to a robust digital onboarding offering is a strategic imperative.

  • Provenir Approach

    Through process automation, our platform will enable a new era of efficiency. With simplified data access at its core, we ensure that decision-makers have immediate access to the right data, empowering them to make smarter credit risk decisions with confidence and precision.

    Furthermore, our low-code intuitive UI represents a paradigm shift, placing the power of customization and adaptation firmly in the hands of Promerica’s business users. Together, these pillars form the foundation upon which our solution will deliver unparalleled value, driving success and growth for Promerica in the dynamic landscape of modern business.

  • Provenir Impact

    After the implementation is completed, the internal objectives that we have set for ourselves include:

    • To streamline the digital onboarding process, allowing consumers to apply in real-time with a significant improvement in underwriting speed, reducing processing time from days or hours to minutes or seconds.
    • To enable rapid, low-effort access to any data source for improved accuracy and efficiency in Promerica’ s credit risk decision-making. The initial milestone will focus on real-time integration with Equifax. Currently, this integration operates through a manual approach.
  • Competitors

    GDS Link, FICO, In-House.
  • Why We Won

    • External Data augmentation via Marketplace and APIs
    • Integrations to Internal Databases
    • Flexibility: “On-the-fly” changes
    • User friendly visual interface
    • Ability to manage real time and batch mode for applications
  • Pain Points

    • Streamlining digital onboarding
    • Data integration
    • Flexibility to adapt credit policies
Customer Growth

Growth Opportunities

The current priority is focused on completing the implementation of this first phase in Costa Rica. After this implementation, the objective is to replicate the experience in the rest of geographies to standardize the Digital Onboarding initiative.

Expansion

The plan not only considers expansion through the incorporation of additional use cases but also focuses on standardization across the eight countries where Promerica has presence in Central and South America. This initiative will strengthen our collaboration and ensure sustainable joint growth throughout the region.
Example Decisioning Flows
  • New Application

    Decisioning

  • Validation

    Decisioning

    Internal Database
  • Aggregate & Orchestrate

    Decisioning

    equifax
    sugef
    Internal Databases
  • Exclusion Rules

    Decisioning

  • Decisioning

    Decisioning

    Application Rules
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telia company

Customer Story: Telia

telia company

Telia Company is a leading telecommunications and mobile network operator primarily serving the Nordic and Baltic regions, with operations extending to the other parts of Europe and Asia.
Established in 1853, Telia has evolved into a modern telecommunications company, providing a wide range of services including mobile and fixed line telephony, internet, digital television and enterprise solutions.

After successful engagement with Telia Finance for many years on Cloud Platform, at the end of 2022, Telia Company, the parent of Telia Finance decided to go with Provenir for their own country specific entities who operate separately and who also provide telecoms products with credit. With a focus on innovation and sustainability, Telia is committed to shaping the digital future and enhancing connectivity for individuals and businesses.

  • Industry
  • Region
  • Countries

    Sweden, Finland, Denmark, Norway

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition

Customer Timeline
Land MRR: $40K
Land PS: €250K
Expand MRR/PS: N/A
  • Opportunity Created
    May 2022
  • Opportunity Won
    December 2022
  • Go-Live
    TBD
  • Customer Expansion
    • TBD
Initial Opportunity Details

  • Customer Challenge

    Telia decided to adopt a new standardized credit granting process that forms the basis for different products and services in B2C and B2B areas. The key is to establish a platform on which different credit decisioning processes can be achieved with:

    • Increased business agility, adaptive response to changes in market and customer behavior
    • Easy to integrate with external & internal systems to enhance decision making quality
    • End-to-end risk management & compliance
    • High performance & easy to scale
    • Cost efficiency on a single platform
    • Support & flexibility for multi-product, multi-country type complex design

    The ambition is to complete the roll-outs of this credit decisioning initiative by EoY-23 across multiple countries to improve time-to-market and reduce customer friction for better customer experience

  • Provenir Approach

    • Provenir Adaptor Technology: to collect data and communicate various internal & external systems/sources
      • UC, Bisnode, Phone & Email services
      • CRM, Finance, Billing etc.
    • Visual & Quicker build for rules & calculations
    • Optimize the promotion of reusable building blocks (flows) in a flexible design context in multi-step and multi-level decisioning
    • Ease of analytical asset operationalization
    • Handling exceptions thanks to Provenir versatile Case Mgt. on Salesforce
  • Provenir Impact

    • Quicker time to market (<3 months)
    • Increased FTE productivity
    • Improved Operational Efficiency (response <6 secs)
    • Faster roll-outs across countries
  • Competitors

    Experian, FICO
  • Why We Won

    • Strong existing customer relationship from Telia Finance
    • Provenir’s flexibility, business friendly interface, support for reusable building blocks (micro-service oriented)
    • Presales and PS collaboration to meet every single custom requirement via a tailored demo artifact + detailed workshops to address all business, functional and technical aspects forming a strong trusted advisor state
    • Smart deal strategy to make the financial model attractive esp. for multi country multi brand.
  • Pain Points

    • Easy to change, low-code solution for agility & responsiveness
    • Quick access to data
    • Simplify multi-product, multi-brand, multi-country complex design pattern
Customer Growth

Growth Opportunities

The successful engagement & delivery means that now Provenir and Telia are in conversations for further expansion:

  • Telia Company Norway
  • Telia Company other countries

Expansion

Telia Finance offered loans & credits for telecom products. With the Telia company expansion in 2022 our successful roll-out starts with Telia Finance Denmark for B2B and B2C products (mobile, broadband, TV) in risk-based pricing and limit, which is later planned to be followed by:

  • Telia Finance Sweden (mid-June 24)
  • Telia Finance Finland (Q3-24)
  • Telia Finance Norway (Q4-24)
Example Decisioning Flows
  • New Application

    Decisioning

  • Pre-Scoring

    Decisioning

    (Credit Policy Rules & Internal Payment History)

    • Application Data
    • Invoice information (Order & Payment History)
    • Population Register Data
    • Phone & Email Service
  • External Scoring

    Decisioning

    (Fraud, AML, Sanctions, Credit Bureau)

    uc sweden
    d&B
    (formerly Bisnode)

    • Fraud, sanctions, AML scores
    • Disposable income calculations
    • Bureau generic models
  • Customer Specific Scoring Models

    Decisioning

    Telia custom scoring model with internal Telia data & external data combined (fraud, bureau, register, application data involved)

  • Risk & Fraud Investigation

    Decisioning

    Case Management
    (On Salesforce)
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