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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.
Please Fill Out the Form to View the Video

Speakers
  • andy

    Andy Beddoes

    Provenir

    Principal Consultant
  • sam

    Sam Rohde

    Provenir

    Director, PreSales North America

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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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Loan Options

Customer Story: LoanOptions.ai

Loan Options

LoanOptions.ai is an intelligent loan comparison marketplace, with AI-assisted loan matching to find customers the best offers for car loans, personal loans, business loans and asset financing.

Using a combination of AI and dynamic logic, they are able to provide customers with predictive pre-approval and accurate lender rates for hundreds of financial products from over 70 different banks and lenders.

  • Industry
  • Region
  • Country

    Australia

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

Customer Timeline
Land MRR: $57K
Land PS: $35K
Expand MRR/PS: N/A
  • Opportunity Created
    27 Feb 2024
  • Opportunity Won
    4 April 2024
  • Go-Live
    May 2024
  • Customer Expansion
    • Provenir is guiding client to set up the first 10 lenders policy on the platform.
    • Client plans to launch more lenders policy independently on the Provenir platform.
Initial Opportunity Details

  • Customer Challenge

    They were looking to expand their business globally and saw limitations in their current processes; changes to credit policies require technical IT, so were looking for a more flexible and scalable solution.

    The CEO had been aware of Provenir’s solutions and had spoken with us in 2018, but now believes it is the right time to implement our tool.

    Their in-house developer left the business, and they were evaluating whether to build or buy.

  • Provenir Approach

    We were highly engaged in the opportunity’s early stages, actioning quickly in response to the customer’s urgency.

    We configured a comphrehensive demo to address their pain points around multiple lenders and multiple products offering, re-engineered the versatile lenders’ requirements with configuration on the fly, and offered a sandbox trial with frequent guidance follow-ups.

  • Provenir Impact

    Potential metrics after client’s go-live:

    • Time savings
    • Cost reductions
    • Improved customer satisfaction
    • Higher approval rates
    • Business expansion to multiple countries
  • Competitors

    In-house development
  • Why We Won

    • Flexible and scalable solution.
    • Compelling configured demo to targeted pain points.
    • Close relationship with CEO and working team.
    • Expedited and high engagement in early stages, after qualifying customer’s needs and urgency.
  • Pain Points

    • High code maintenance
    • Inflexibility with multiple product offerings
    • Slow to implement new lender policy and existing lenders’ policy changes
Customer Growth

Growth Opportunities

Upcoming opportunities:

  • Volume: 70+ lenders
  • Geographies: Philippines, New Zealand, Canada, etc.

Expansion

The client has not only agreed to a press release but also committed to being a reference client and facilitating introductions to their extensive network of 70 lenders.
Example Decisioning Flows
  • New Application Lead

    Decisioning

  • Bureau Data Enrichment

    Decisioning

    • Equifax
    • CreditorWatch
    • Illion
  • Eligible Lenders and Products Filtering

    Decisioning

    Product offering and Policy from different lenders
  • High Risk Patterns & Scoring

    Decisioning

    Application Score Model

    High Risk
    Low Risk

  • Loan Offer

    Decisioning

    Send qualified leads to eligible lenders for loan approval

    Present multiple loan offers to customer

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
OTHER CUSTOMER STORIES

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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)
OTHER CUSTOMER STORIES

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navan

Customer Story: Navan

navan

Formerly ‘TripActions’, Navan were founded in 2015 and are an online travel, corporate card and expense management company. They look to automate manual processes and drive a better spending visibility for their clients via their next generation of software design. They were looking for a solution that can enable them to automate their credit risk assessments for corporate travel card applications, which brought them to Provenir.
  • Industry
  • Region
  • Country

    United States

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

Customer Timeline
Land MRR: $15,960
Land PS: $92,656
Expand MRR/PS: TBD
  • Opportunity Created
    March 1, 2024
  • Opportunity Won
    April 18, 2022
    Selection from the Business received

    May 6, 2024
    Selection from the Technical team received

  • Go-Live
    TBD
  • Customer Expansion
    TBD. But there is significant opportunity for expanded use in Portfolio Management and Fraud strategies.
Initial Opportunity Details

  • Customer Challenge

    Navan’s assessment of new applications was done completely via complex formatted scorecards maintained in a google sheet. They had onboarded another decision solutions provider called Benoble, but had never reached a true point of utilization with them before Benoble announced they were folding as an organization. This left Navan performing an extremely manual credit assessment via their google sheet scorecard, which caused issues for Navan, such as:

    • Difficulty tracking application data and outcomes, which is bad for auditing.
    • Longer application processing times (2-3 days for onboarding).
    • Credit strategy not easily maintained.
  • Provenir Approach

    Initial scope of the ‘day 1’ solution is to essentially automate what they do today, taking the manual scorecard maintained in the google sheet, automate them via scorecard objects while maintaining some of the key principles they wish to keep going forward related to scoring and weighting. Case Management will give them an improved grip over making the final decision (‘rubber stamp’) on all applications, while being able to easily capture and edit application data before submitting into the process.
  • Provenir Impact

    Navan had no existing automated origination system. The main business impacts:

    • Significantly reduced ‘time to lend’ and ‘cost to lend’
    • Enhanced compliance
    • Improved manual intervention capabilities
  • Competitors

    Alloy and another unnamed.
  • Why We Won

    Following a POC, Navan were impressed by our solution’s features and capabilities which enabled them to easily automate their existing policy while maintaining some of the key principles they wished to keep with their ‘day 1’ solution. Against Alloy, we filled a feature gap around our ability to flexibly batch test new configurations while also supporting batch processing. Furthermore, Alloy resell data with certain attributes not available or withheld from the response, and Navan appreciated we have full response structures in our marketplace adaptors for them to select from.

    Navan also appreciated our commitment to them, their success criteria and any questions they had, valuing the level of involvement we maintained during the entire sales process. Something, according to them, other vendors they were speaking to were not as good at.

  • Pain Points

    • Poor auditing capabilities.
    • Long time to lending.
    • Difficult to maintain credit strategy.
Customer Growth

Growth Opportunities

  • Portfolio (customer) Management
  • Fraud

Expansion

TBD
Example Decisioning Flows
  • New Application

    Decisioning

    Pre-Bureau Knockout Rules
  • Bureau Integration

    Decisioning

    circulo
  • Rules and Models

    Decisioning

    A series of scorecards covering:

    • Business Information
    • Financials
    • 3rd Party Data
  • Credit Line Assignment

    Decisioning

    • Credit Risk Rating
    • Credit Limit Line Assignment
  • Case Management

    Decisioning

    Case Management used in all cases to:

    • Sense Check assessed data
    • Make final credit limit decision
    • Multi-level approvals
OTHER CUSTOMER STORIES

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Customer Story: Varo

varo

Fintech startup Varo Bank is one of several fintechs and “challenger banks” in the United States aiming to take on the big traditional financial institutions by catering to the customers those institutions neglect: people with lower incomes and little wealth. The bank is completely digital with no brick-and-mortar branches.
  • Industry
  • Region
  • Country

    United States

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

Customer Timeline
Land MRR: $13,513
Land PS: $196K est
Expand MRR: TBD
Expand PS: $52,740
  • Opportunity Created
    June 20, 2020
  • Opportunity Won

    January 18, 2022

    The decision timeline was significantly delayed due to the ongoing COVID-19 pandemic.

  • Go-Live

    April 17, 2024

    Reorganizations and multiple project holds from Varo affected the timeline. Actual implementation took 5 months.

  • Customer Expansion
    • The original plan (2022) was to expand usage to all consumer products.
    • The first go-live (April 2024) was to support an employee line of credit.
    • Current plans are to expand to customers in May 2024.
    • Provenir is finalizing a PS Consulting SOW for $52,740, expected to close in May 2024.
Initial Opportunity Details

  • Customer Challenge

    Varo’s initial tech stack included an in-house-built mobile application and Temenos as the core banking system. By 2020, Varo was on the cusp of receiving its banking license and went to market to find an origination solution in anticipation of rolling out a variety of consumer loan products and credit cards.

    In looking at other vendors + the possibility of leveraging older in-house-build applications to create an in-house solution, the ability to configure rapidly, test efficiently including use of A/B testing, and expand easily in the future to new use cases were identified as key drivers of the decision.

  • Provenir Approach

    • The initial POC was more complicated from a functionality perspective than the finalized scope of the LOC decisioning process put into production in April 2024.
    • Nonetheless, Provenir’s initial reasons for selection – ability to rapidly configure business objects and deploy models – were both used to support the eventual as-deployed project, with numerous rule sets and Python models part of the configuration.
  • Provenir Impact

    Varo had no previous origination system and as a de novo solution, no before-and-after comparisons are possible.

  • Competitors

    GDS Link, In-House Build (finalists) + Zoot, Alchemy
  • Why We Won

    Competitive Pricing, Product Functionality – especially object configuration and model execution, Relationship with executives built over several years.

    GDS took 3+ weeks to configure/deliver custom demo requirements; Provenir did a better custom demo only a week after receiving requirements.

  • Pain Points

    Temenos (Varo’s existing core system of record) didn’t have origination capability. Thus, they were in the market for an origination solution.
Customer Growth

Growth Opportunities

  • The initial license was only ringfenced based on DE utilization and “consumer lending.” At this time, additional expansion will only likely affect DE utilization as Varo is not currently planning expansion beyond consumer products.
  • Case Management has been something in which Varo has shown interest in the past; this should be revisited at a later date and is considered “closed nurture” today.
  • Lexis Nexis is interested in partnering with Provenir to sell data into Varo.

Expansion

  • So far, with so many starts and stops of the implementation project (all initiated by the Varo team), getting the initial project live has been the focus.
  • At the time we were named the selected vendor, the plan was to leverage Provenir across all decisioning as Varo introduced new products. Even though Varo’s timeline to roll out new products has greatly increased, Provenir is still positioned to support these initiatives when they happen.
Example Decisioning Flows
  • New Application

    Decisioning

  • Bureau Integration

    Decisioning

    circulo
  • Rules and Models

    Decisioning

    • Post-Bureau Knockout Rules
    • Python Models
    • Post-Model Knockout Rules
  • Credit Line Assignment

    Decisioning

    • Credit Line Grid
    • Line-Capping Rules
  • Compliance

    Decisioning

    Compliance Rules
OTHER CUSTOMER STORIES

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Customer Story: Humm

humm logo

Hummgroup specialises in financing bigger ticket purchases with a range of credit card and fixed term instalment products that are designed for consumers and SMEs.

Hummgroup, founded in Australia, currently operates in Australia, New Zealand, Ireland, Canada and the UK.

Industry: Financial Services.

Company Size: 501 – 1000 employees.

Consumer & Commercial Leasing – Offers leasing solutions to consumers, businesses and corporations through brands including Lisa, FlexiRent, FlexiWay, FlexiCommercial, and SmartWay.

  • Industry
  • Region
  • Country

    Canada

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

Customer Timeline
Land MRR: $9,162
Land PS: $40,500
Expand MRR: N/A
Expand PS: $24,950
  • Opportunity Created
    02/06/2021
  • Opportunity Won
    27/08/2021
  • Go-Live
    End 2021
  • Customer Expansion

    CR:

    • Jun 2023 Credit rule revision
    • Sep 2023 Merchant-Led Provenir Rules
    • Oct 2023 Credit Band and Seller-led changes
Initial Opportunity Details

  • Customer Challenge

    In February 2021, hummgroup announced the launch of its BNPL product humm into Canada in 2H21 following its recent expansion into the UK market. They needed to launch operations in a new market with a challenging time frame.
  • Provenir Approach

    Provenir provided the decisioning engine for humm’s BNPL offering in Canada, including access to data partners via the Marketplace (initially two TransUnion Canada feeds).
  • Provenir Impact

    • Successful business expansion into Canada
    • Quick launch within the challenging timeline, including immediate access to multiple credit bureau data feeds
    • Flexible, easy, and quick configuration changes post launch
  • Competitors

    Illion Australia, Equifax Canada
  • Why We Won

    • Provenir’s rapid configuration capability, and the confidence our services team instilled to deliver in a 2-month timeframe.
    • Our proven experience in the Canadian market together with our Marketplace partnership with TransUnion Canadian data services.
    • Our global experience coupled with an APAC delivery team in the same time-zone as the humm technology team in Australia was viewed as an advantage.
    • The humm lead consultant had previously reviewed Provenir in a selection exercise for another opportunity and introduced Provenir to the wider humm team for evaluation. This reduced some of the product feature review time in the evaluation phase.
  • Pain Points

    • Quick launch
    • Ability to make changes easily
    • Data Integration with external data sources
Customer Growth

Growth Opportunities

Solution upgrade from Platform to Cloud 2.0 to unlock more cloud features, such as Decision Intelligence, more Provenir Marketplace data access.

Could consider expanding the solution usage to other countries where Humm operates, such as Australia, UK.

Could consider expanding the solution to automate products offered by Humm, such as SME lending.

Could consider expanding the use cases, such as Customer Management and Collection Strategy.

Expansion

N/A
Example Decisioning Flows
  • Fraud Checks

    Decisioning

    GBG Instinct

    TransUnion

    • Fraud Score IDX
  • IDV & AML

    Decisioning

    TransUnion

    • IDV
    • AML, PEP, Sanctions
    • EBVS-ID
  • Credit Bureau

    Decisioning

    TransUnion

    • Consumer Credit File
  • Financial Analysis

    Decisioning

    Flinks
  • High Risk Patters & Scoring

    Decisioning

    • Credit Checks
    • Policy Rules
    • Fraud Rules
    • Affordability
    • Bank Verification
    • Servicing Rules
    • Limit Assignment
    • Scorecard
    • Auto Accept
    • Auto Decline
    • Referrals
OTHER CUSTOMER STORIES

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