Author: provenirmulti
Webinar: Optimizing Collections with Advanced Decisioning Solutions
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.
- 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.
Andy BeddoesProvenir
Principal Consultant
Sam RohdeProvenir
Director, PreSales North America
LATEST WEBINARS
Customer Story: 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
Land PS: 0
Expand MRR: $18,045
Expand PS: $22,500
- Opportunity CreatedDecember 2016
- Opportunity Won2017
- Go-LiveJune 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
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
ExperianWhy 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
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
- New Application
Decisioning
- Identity & Verification Checks
Decisioning
- Experian
- emailage
- Enrichment
Decisioning
- nudata
- IDology
- SentiLink
- High Risk Patterns & Scoring
Decisioning
Application fraud
Rules and AI ModelAuto Accept
Auto Decline
Referrals - Fraud Investigation
Decisioning
Case Management
Customer Story: Marginalen
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
Land PS: N/A
Expand MRR: $35,500
Expand PS: $9,000
- Opportunity Created2016
- Opportunity WonMay 2017
- Go-Live2018
- Customer Expansion
- Originations
- Private, Mortgage, Consumer, Corporate, Credit Cards
- Expansion 2021
- Cloud 2.0 2024
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
Growth Opportunities
Expansion
- New Application
Decisioning
- Identity & Verification Checks
Decisioning
- Experian
- Emailage
- Enrichment
Decisioning
- nudata
- IDology
- SentiLink
- High Risk Patterns & Scoring
Decisioning
Application fraud
Rules and AI ModelAuto Accept
Auto Decline
Referrals - Fraud Investigation
Decisioning
Case Management
Customer Story: LoanOptions.ai
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
Land PS: $35K
Expand MRR/PS: N/A
- Opportunity Created27 Feb 2024
- Opportunity Won4 April 2024
- Go-LiveMay 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.
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 developmentWhy 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
Growth Opportunities
- Volume: 70+ lenders
- Geographies: Philippines, New Zealand, Canada, etc.
Expansion
- 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 ModelHigh Risk
Low Risk - Loan Offer
Decisioning
Send qualified leads to eligible lenders for loan approval
Present multiple loan offers to customer
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
Land PS: $91,140
Expand MRR/PS: N/A
- Opportunity CreatedAugust 4, 2023
- Opportunity WonFebruary 13, 2024
- Go-LiveIn Implementation
- Customer Expansion
- Expansion planned for additional countries
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
Growth Opportunities
Expansion
- New Application
Decisioning
- Validation
Decisioning
Internal Database - Aggregate & Orchestrate
Decisioning
Internal Databases - Exclusion Rules
Decisioning
- Decisioning
Decisioning
Application Rules
Customer Story: Telia
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
Land PS: €250K
Expand MRR/PS: N/A
- Opportunity CreatedMay 2022
- Opportunity WonDecember 2022
- Go-LiveTBD
- Customer Expansion
- TBD
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 Adaptor Technology: to collect data and communicate various internal & external systems/sources
Provenir Impact
- Quicker time to market (<3 months)
- Increased FTE productivity
- Improved Operational Efficiency (response <6 secs)
- Faster roll-outs across countries
Competitors
Experian, FICOWhy 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
Growth Opportunities
- 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)
- 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)
(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)
Customer Story: Navan
- Industry
- Region
- Country
United States
- Line of Business
- Solution
- Module
- Infrastructure
- ROI
- Competition
Land PS: $92,656
Expand MRR/PS: TBD
- Opportunity CreatedMarch 1, 2024
- Opportunity WonApril 18, 2022
Selection from the Business receivedMay 6, 2024
Selection from the Technical team received - Go-LiveTBD
- Customer ExpansionTBD. But there is significant opportunity for expanded use in Portfolio Management and Fraud strategies.
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.
Growth Opportunities
- Portfolio (customer) Management
- Fraud
Expansion
- New Application
Decisioning
Pre-Bureau Knockout Rules - Bureau Integration
Decisioning
- 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
Customer Story: Varo
- Industry
- Region
- Country
United States
- Line of Business
- Solution
- Module
- Infrastructure
- ROI
- Competition
Land PS: $196K est
Expand MRR: TBD
Expand PS: $52,740
- Opportunity CreatedJune 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.
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, AlchemyWhy 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.
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.
- New Application
Decisioning
- Bureau Integration
Decisioning
- 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
Customer Story: Humm
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
Land PS: $40,500
Expand MRR: N/A
Expand PS: $24,950
- Opportunity Created02/06/2021
- Opportunity Won27/08/2021
- Go-LiveEnd 2021
- Customer Expansion
CR:
- Jun 2023 Credit rule revision
- Sep 2023 Merchant-Led Provenir Rules
- Oct 2023 Credit Band and Seller-led changes
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 CanadaWhy 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
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
- Fraud Checks
Decisioning
GBG InstinctTransUnion
- 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



