Skip to main content

Author: provenirmulti

LewisGRP

Leading South African Furniture Retailer Lewis Group Partners with Provenir to Drive AI Credit Decisioning Transformation in the Cloud

Written by provenirmulti on . Posted in News. No Comments on Leading South African Furniture Retailer Lewis Group Partners with Provenir to Drive AI Credit Decisioning Transformation in the Cloud

Leading South African Furniture Retailer Lewis Group Partners with Provenir to Drive AI Credit Decisioning Transformation in the Cloud

The retailer will deploy Provenir’s AI Decisioning Platform in the cloud to improve agility and operational efficiencies, with the ability to capitalize on greater customer insights

Parsippany, NJ | January 21, 2026 – South African furniture retailer Lewis Group is migrating its credit decisioning to the cloud with Provenir, a global leader in AI risk decisioning, to streamline its onboarding processes and expand customer touchpoints.

Lewis Group is a leading retailer of furniture, home appliances, electronic goods and homeware in South Africa through its brands Lewis, Best Home & Electric, Beares, UFO, Bedzone, Real Beds and Monarch Insurance. The retailer has 813 stores across South Africa and 145 in southern Africa, including Namibia, Botswana, Lesotho and Eswatini.

A Provenir customer for 15 years, Lewis Group is embarking on a cloud-migration strategy on the AWS stack, designed to elevate the customer experience and further drive innovation in credit decisioning. The goal is to enable more personalized customer engagements, further improve the onboarding process, and unlock meaningful productivity gains.

By modernizing and enhancing decisioning capabilities via the cloud, the Provenir AI Decisioning Platform supports Lewis Group’s commitment to responsible and effective customer engagement.

“Our long-standing collaboration with Provenir underscores a shared focus on using technology to deliver better outcomes for our customers… By migrating to the cloud, we are able to realize enhanced speed and agility, scalability, improved security, and faster time-to-market for solutions and services to our valued customers.”

Lambert Fick, Lewis Group’s GM Credit Risk

“After more than 15 years of partnership, we’re proud to support Lewis Group’s move to a modern cloud platform with our AI Decisioning Platform to drive improved business outcomes,” said Ryan Morrison, executive vice president, Provenir. “This migration will give Lewis Group faster, more effective decisioning, a unified customer view across channels, and the ability to leverage advanced analytics to enhance onboarding, fraud prevention, and overall customer management.”

Provenir’s AI Decisioning Platform combines data, decisioning, and decision intelligence to enable smarter, faster decisions across the entire customer lifecycle – from onboarding and application fraud to credit risk, customer management, and collections.

Explore Our AI-Decisioning Platform

Read More

LATEST NEWS

Continue reading

INFOGRAPHIC Hyper-personalization

Hyper-Personalization in Action

Written by provenirmulti on . Posted in Resource.

Hyper-Personalization in Action: How AI-Driven Decisioning Transforms Every Customer Interaction

Most financial institutions still rely on humans to interpret model predictions and make the final call on offers, terms, and actions. The result? Slower decisions, inconsistent experiences, and missed revenue opportunities.

Hyper-personalization changes this. AI doesn’t just predict outcomes—it prescribes the best action for each individual customer, automatically balancing profitability, risk, and experience in real time.

What You’ll Discover
  • The difference between prediction and prescription in AI decisioning
  • How hyper-personalization delivers individual-level optimization—not segment-based targeting
  • Why prescriptive AI transforms every customer interaction across your lifecycle

Explore hyper-personalization in depth with insights from our experts:

ADDITIONAL RESOURCES

LewisGRP
News ::

Leading South African Furniture Retai...

Leading South African Furniture Retailer Lewis Group Partners with Provenir ...
Read More
carol blog
Blog ::

The Generational Shift: Why Banks Are...

The Generational Shift:Why Banks Are Replacing Their Decisioning Infrastructure Financial ...
Read More
Frederic blog
Blog ::

Why AI Requires Enterprise Platforms ...

Why AI Requires Enterprise Platforms to Deliver Business Value The ...
Read More
INFOGRAPHIC Hyper-personalization
Infographic ::

Hyper-Personalization in Action

Hyper-Personalization in Action: How AI-Driven Decisioning Transforms Every Customer Interaction ...
Read More
HyperPersonalization
Blog ::

From Risk Manager to Revenue Generato...

From Risk Manager to Revenue Generator:How CROs Are Becoming the ...
Read More
2025 winner
News ::

Provenir Wins Credit Risk Solution Aw...

Provenir Wins Credit Risk Solution Award at 2025 Credit & ...
Read More
Hyper-personalization Myth2
Blog ::

The Hyper-personalization Myth Series...

The Hyper-personalization Myth Series #2:The Scorecard Trap: How Traditional Models ...
Read More
Hyper-personalization Myth1
Blog ::

The Hyper-personalization Myth Series...

The Hyper-personalization Myth Series #1:Why Banks Think They're Doing Hyper-personalization ...
Read More

Continue reading

BBVA

Customer Story: BBVA

Written by provenirmulti on . Posted in Customer Story.

BBVA (Banco Bilbao Vizcaya Argentaria) is a leading Spanish multinational banking group and #3 bank in Spain by total assets,founded in 1857. It is headquartered in Madrid, offering a broad range of financial services including retail, commercial, corporate, and investment banking, as well as asset management and digital banking. The bank operates in more than 25 countries with major markets in Spain, Mexico, Turkey, South America. For those countries where it does not have physical presence, it has created “BBVA Digital Banking” , the idea it is to grow globally, the first countries in which it has been launched are Italy and Germany. It is widely recognized for its strong focus on digital innovation, data and AI capabilities, and commitment to sustainability and ESG-driven finance.
  • Industry
  • Region
  • Countries

    Spain, Colombia, Mexico, Peru, Argentina, Turkey

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
MRRPS
Land$160KTBC
Expand$117KTBC
  • OPPORTUNITY CREATED
    • Pilot Opp created: 02.10.17
    • Pilot Opp Won: 31.10.17
    • Opp Created: 17.03.17
  • OPPORTUNITY WON
    30.06.2018

    • Mexico expansion: 12.07.19
    • Spain expansion: 27.07.20
    • Peru expansion: 22.11.21
    • Client Analysis Corporate: 24.05.22
    • Renewal uplift: 18.07.23
    • Client Analysis Colombia: 12.10.23
    • EWS Colombia: 12.02.24
    • Enterprise agreement: 30.06.24
  • GO-LIVE
    No Information Available
  • EXPANSION
    IN PROGRESS:

    • Cloud Migration all countries
    • App Fraud Retail Banking

    FUTURE:

    • Decisioning platform BBVA Digital Banking: 1 country
    • Decisioning Platform BBVA Digital Banking: 1 country expansion
    • Retail Banking – Global ML models platform deployment & execution
Initial Opportunity Details

Customer Challenge

BBVA wanted to deliver a standardized, world-class digital experience across its global footprint and needed flexible, scalable risk decisioning technology to support consistent processes across thousands of branches and enhance risk decisioning for its commercial and Wholesale business lines. ​

Provenir Impact

  • Standardized Global Decisioning​
    BBVA now deploys a single best-practice process worldwide using Provenir’s platform, able to adjust automatically to local rules and customer variations.
  • Scalable & Automated Risk Processes​
    Provenir supports automated risk decisioning for Wholesale and commercial lending – including analysis, rating, early warning system, limit setting, early warning system and underwriting – replacing manual or inconsistent processes.
  • Operational Efficiency & Flexibility​
    The platform’s microservices architecture gives BBVA autonomy and flexibility to adapt data, models, and processes independently, improving speed and control over decision logic.

Competitors

Existing internal/legacy decisioning systems- lacking flexibility and scalability.

Experian PCO for Retail Banking Globally

Why We Won

BBVA chose Provenir for its flexible, scalable microservices-based decisioning platform that allows BBVA to build standardized global processes that automatically adjust by location, customer type, and business rules, and empowers BBVA to automate client analysis, early warning systems, rating, limit setting, and underwriting. ​

Pain Points

  • Lack of standardized decisioning experience globally
  • Need scalable, flexible technology for risk processes
  • Need automation of decisioning across markets and customer segments
  • Difficulty maintaining consistent customer experience across branches
  • Difficulty to deploy and execute ML models
Customer Growth

  • Current

    BBVA has implemented Provenir’s decisioning engine in all its markets – Spain, Turkey, Mexico, Argentina, Peru & Colombia

    Use cases under current contract in use:

    • Client Analysis
    • Early Warning System
    • Underwriting

    Use cases under current contract not in use:

    • Collections
    • Recovery

  • Expansion

    • Migrate current Provenir Platform to Cloud 2.0 for all countries: We have had several workshops regarding Cloud 2.0 with all the different areas, architecture, engineering, business. We are working internally in a ROI scenario to share with them as per request form the business and engineering. We have done a test along with the engineering team on how to deploy a Python Model in Cloud 2.0 and also form the 12th of Jan they will conduct a POC with access to our sandbox for cloud 2.0. With the results of these POC and ROI we will have all the evidence for the migration. PS Team is actively engaged with the engineering team for BAU, Pythin Model execution testing and POC
    • App Fraud – Retail Business: Current solution at BBVA Feature Space for transactional and app fraud. Information form architecture team that this solution for app fraud is not robust or mature, not enough so they would like to explore different alternatives around this current solution as satellite solution

  • Growth Opportunities

    • Provenir Global Platform for BBVA Digital Banking: We had a meeting with CRO for Digital Banking and a Workshop has already been scheduled for the 2nd of February
    • Provenir Platform – Retail Business ML models deployment & execution. This is a pain that BBVA has shared with us, but we are having difficulties to get to the stakeholders at Retail. We need to get support from the Engineering team after they conduct the POC for Wholesale Business
OTHER CUSTOMER STORIES

Continue reading

FibaFaktoring

Customer Story: Fiba Faktoring

Written by provenirmulti on . Posted in Customer Story.

Fiba Faktoring is a leading non-bank financial institution in Turkey, providing factoring and SME financing solutions. The company focuses on delivering fast, data-driven credit decisions to support small and medium-sized businesses while managing risk effectively.
  • Industry
  • Region
  • Countries

    Turkey

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Initial Opportunity Details

  • Customer Challenge

    Fiba Faktoring needed to improve the speed, consistency, and scalability of its credit decisioning processes. Manual and siloed systems limited automation, slowed decision times, and made it difficult to support business growth.

  • Provenir Impact

    • Operational Efficiency Gains
      Provenir’s decisioning solution delivered a 65% automation rate in credit decisions for targeted SME ticket sizes, significantly reducing reliance on manual processes:
      • Automation eliminated manual bottlenecks
      • Decisions are standardized and consistent
      • Staff time redirected from manual tasks to higher-value work
    • Speed & Productivity Improvements
      Credit decision processing became five times faster, dramatically accelerating service delivery for SME customers and improving internal throughput.
      • Faster time-to-decision improves customer experience
      • Shorter wait times support SME cash flow needs
      • The company can handle higher volumes without additional headcount
    • Workload Reduction & Customer Experience
      The platform delivered a 40% reduction in workload across credit decision processes, enabling strategic risk assessment and improving satisfaction through quicker outcomes.
      • Streamlined workflows reduced operational strain
      • Faster processing led to improved client satisfaction
      • Competitive advantage in the SME financing market

  • Competitors

    Legacy in-house systems
    Manual decisioning processes

  • Why We Won

    • Single, unified decisioning platform
    • Fast time to value and implementation
    • High flexibility and business-user configurability

  • Pain Points

    • Slow credit decision turnaround times
    • Limited automation and scalability
    • Difficulty adapting decision rules quickly
Customer Growth

Growth Opportunities

  • Scalable Operations and Expansion of Offerings
  • The automation foundation positions Fiba Faktoring to scale operations efficiently across higher volumes and broader product sets.
  • Advanced Analytics for Competitive Advantage
  • By integrating advanced predictive models and AI workflows, the company can strengthen risk insights and enhance differentiation in the SME lending market.
  • Enhanced Customer Experience as a Strategic Growth Lever
  • Shorter decision times and data-driven service delivery enable improved customer acquisition and retention.

Expansion

With the core decisioning platform successfully implemented and delivering measurable value, Fiba Faktoring is now progressing toward expanding the use of Provenir’s capabilities to additional strategic areas: ​

  • Predictive Early Warning Systems: Leveraging analytics to detect risk trends proactively
  • Marketing & Pricing Optimization: Using AI insights to refine pricing strategies and product targeting
  • Additional Decisioning Use Cases: Exploring automation across broader internal decision workflows beyond credit decisions
OTHER CUSTOMER STORIES

Continue reading

newday

Customer Story: NewDay

Written by provenirmulti on . Posted in Customer Story. No Comments on Customer Story: NewDay

NewDay Ltd is a UK-based financial services company focused on responsible consumer credit who have just been acquired by KKR (private equity). Serving over 3.6 million customers, it offers products such as credit cards, instalment finance, and Buy Now Pay Later through brands like Aqua, Marbles, and Fluid, as well as co-branded solutions with major retailers. With £15.5 billion annual spend, 4.4 billion gross receivables, and advanced digital platforms, NewDay combines data-driven underwriting and technology to widen access to credit. Headquartered in London, regulated by the Financial Conduct Authority, and employing over 1,200 staff, NewDay’s mission is simple: help people move forward with credit.​
  • Industry
  • Region
  • Countries

    UK

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
Projected MRR: $150K
Projected ARR: £1.8m
Expand MRR: £27k
Expand PS: £324k

TCV: $5.4m
  • Renewal Created
    • Relationship since 2019
    • Cloud 2 positioning from early 2024
    • Long time users of Cloud 1 processing ~100 million trns per month
    • Originations / Collections / Customer Management
  • Renewal Result
    • Natural compelling event, however KKR Funding Challenge highlighted
    • Summer 2025
  • Go-Live
    October and November 2025
  • Customer Expansion
    • NEXT: Roll-Out: Fraud, DI, Cloud 2, Simulation
    • FUTURE:
      • Profiling
      • Case Management
      • NewDay Technology Clients
Initial Opportunity Details

  • Customer Challenge

    • Legacy decisioning systems were slow and costly to update.
    • Needed faster processing & delivery cycles (market changes, releases, tests).
    • Required greater internal control over credit decisioning logic and data sources.
    • Aimed for sub-second decisions and more product flexibility.

  • Provenir Impact

    • Speed & Agility:
      • Speed of Change Reduced by 80%
      • NewDay can now implement multiple credit decisioning changes within the same sprint.
      • Sub-Second Decisioning
      • Credit decisions are now delivered in under 1 second, enabling rapid customer feedback and better experience.
      • Impact: Faster market response and improved competitiveness.
    • Internal Control & Cost Efficiency: Enhanced Internal Control​
      • Business users can add data sources and update strategy without reliance on external vendors.
      • Reduced Operational Costs
      • Lower external costs for managing data items and system changes.
      • Quicker Onboarding
      • New hires familiarize faster due to intuitive decisioning UI.
      • Impact: More self-sufficiency, faster internal execution, and better resource allocation.
    • Competitive Advantage & Customer Experience:
      • Improved Customer Management & Collections
      • More control over limit strategy changes and refined customer decisioning.
      • Award-Winning Implementation
      • NewDay won the 2024 FSTech Award for Best Use of IT in Consumer Finance for tech innovation – powered by Provenir.
      • Impact: Enhanced customer experience, strategic differentiation, and industry recognition.

  • Competitors

  • Why We Won

    Provenir was chosen because its flexible AI-powered decisioning platform met all of NewDay’s requirements:

    • Enabled faster delivery cycles and autonomous configuration.
    • Integrated seamlessly with NewDay’s extensive data lake.
    • Supported full lifecycle decisioning from origination → collections.

  • Pain Points

    • Long release cycles and slow system updates.
    • Heavy reliance on external teams for change implementation.
    • Limited real-time testing and model deployment capabilities.
    • Inefficient credit decision support with big data sources.
Customer Growth

Growth Opportunities & Expansion

  • Fraud expansion through fraud profiling and 3rd party data integration (Focus in a future session)
  • Professional Services and Analytics opportunities – support for migration and beyond
  • Case Management
  • NewDay Technology Platform – Provenir White labelling for 3rd party use – LBG, Debenhams are live today, working towards more growth.
OTHER CUSTOMER STORIES

Continue reading

ATandT

Customer Story: AT&T

Written by provenirmulti on . Posted in Customer Story. No Comments on Customer Story: AT&T

AT&T Mexico is a leading telecommunications provider offering advanced mobile services, high-speed internet, and intelligent solutions for individuals and businesses. In Q3 2025, the company reported EBITDA of $199 million USD, marking an 18.5% year-over-year increase, and revenue of $1,095 million USD, up 7% year-over-year—reflecting strong operational performance and continued growth.

AT&T Mexico connects over 24.1 million customers across the country. The company remains committed to transforming connectivity, driving digital inclusion, and delivering innovative services that empower people and businesses throughout Mexico.

  • Industry
  • Region
  • Country

    Mexico

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
Land MRR: $27,713 USD
Land PS: $62,430 USD
Expand MRR: $20K USD
Expand PS: $10K USD
  • Opportunity Created
    August 30, 2024
  • Opportunity Won
    October 30, 2025
  • Go-Live
    Technical Go-Live:
    Early February 2026

    Full Go-Live:
    February 2026

  • Customer Expansion
    • IN PROGRESS:
      Application fraud solution
    • FUTURE:
      Predictive models and onboarding credit
Initial Opportunity Details

  • Customer Challenge

    With the rise of identity theft, synthetic identities, and subscription fraud as well as higher cost of handsets and equipment fraud is a growing concern. AT&T Mexico faces increasing threats that impact revenue, customer experience, increased complexity to balance onboarding risk and customer friction. Traditional fraud prevention methods often lead to high false positives, increasing operational costs and friction in customer onboarding. ​

  • Provenir Impact

    • Decrease financial losses: Implementing a 10% improvement in fraud detection and a 5% reduction in false positives would save the business a minimum of $5 million annually based on its ~$4Bn USD revenue.
    • Fraud detection improvement:
      Current fraud losses:
      • $40 million/year (1% of $4bn revenue)
      • 10% improvement impact: Reduces losses by $4 million/year
    • False positive reduction and customer experience:
      False Positive Reduction:
      • Current false positive costs: $20 million/year (0.5% of revenue)
      • 5% reduction impact: Saves $1 million/year

  • Competitors

    In-house
    SAS
    Experian

  • Why We Won

    • Strategic Technology Fit
    • Tailored Flexibility
    • Trusted Collaboration
    • Operational Impact
    • Scalable Vision

  • Pain Points

    • Financial losses
    • Fraud detection improvement
    • False positive
    • Improve customer experience
Customer Growth

Growth Opportunities

We could work on onboarding and collection business process to improve all customer life cycle

PSD will continue working closely with AT&T to explore new opportunities.

Expansion

With PSD, the next step is to integrate AI and predictive models to strengthen fraud prevention efforts and leverage alternative data. The goal is to enhance customer profiling and streamline the investigation process, ultimately reducing false positives.
OTHER CUSTOMER STORIES

Continue reading

RytBank

Customer Story: Ryt Bank

Written by provenirmulti on . Posted in Customer Story. No Comments on Customer Story: Ryt Bank

Ryt Bank is a Malaysia-based digital bank backed by YTL Group and Sea Limited. It positions itself as the first AI-powered bank, using its Ryt AI assistant (built on Malaysia’s ILMU LLM) to let you chat to pay bills, transfer money, and manage your account, targeting young professionals and frequent travelers with a simple, app-driven experience and transparent fees.
  • Industry
  • Region
  • Country

    Malaysia

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
Land MRR: $6,500 USD
Land PS: $16K USD
Expand MRR: ~$10K USD
Expand PS: $80K USD
  • Opportunity Created
    26th May 2023
  • Opportunity Won
    12th May 2025
  • Go-Live
    20th July 2025
    Technical Go-Live

    30 th August 2025
    Full Go-Live

  • Customer Expansion
    • Future: Property & Infrastructure-Linked Products
Initial Opportunity Details

  • Customer Challenge

    As a newly launched AI-powered digital bank, Ryt Bank needs to onboard and serve customers in seconds while maintaining robust risk controls and regulatory compliance. Early processes rely on a mix of internal systems, manual reviews, and hard-coded rules, making it difficult to support rapid product launches, dynamic pricing, and personalised credit decisions. This fragmentation slows time-to-yes, drives up operational effort, and limits the bank’s ability to fully leverage data and AI across the customer lifecycle. Ultimately, this impacts Ryt Bank’s ambition to scale quickly and deliver a seamless digital experience.

  • Provenir Impact

    • Smarter, AI-Driven Risk Decisions
      By combining Provenir’s decisioning platform with Ryt’s own AI models, Ryt Bank can assess creditworthiness in real time using a broader set of data points. This delivers more accurate approvals, reduces risk exposure, and supports consistent, data-driven decisions across the retail portfolio.
    • Faster Turnaround and Fully Digital Journeys
      End-to-end automation – from KYC and fraud checks to bureau calls and decision execution – has significantly reduced manual intervention, enabling near-instant decisions for onboarding and credit requests. This improves straight-through-processing rates, shortens time-to-yes, and enhances customer conversion in Ryt’s mobile-first channels.
    • Policy Compliance and Scalable Decisioning
      The solution enforces Ryt Bank’s credit, risk, and regulatory policies through configurable rules and strategies, ensuring consistent compliance with internal standards and Malaysian regulations. At the same time, it provides a flexible, scalable foundation to rapidly introduce new products and tweak policies as the bank grows.

  • Competitors

    FICO

  • Why We Won

    • Digital-Bank Ready, Cloud-Native Platform
      Provenir provides a modern, cloud-native decisioning platform designed for high-growth digital banks, supporting real-time decisions for onboarding, cards, and PayLater in a single environment.
    • Speed to Market and Business User Autonomy
      Our low-code configuration and reusable components allow Ryt Bank’s teams to rapidly design, test, and deploy strategies without heavy IT dependency, accelerating product launches and change cycles.

  • Pain Points

    • Need for instant, consistent decisions across onboarding
    • Difficulty orchestrating multiple data sources and analytics in one place
    • Limited agility to test and roll out new strategies, products, and risk policies
    • High operational overhead from manual reviews and fragmented workflows
Customer Growth

Growth Opportunities

Data Science Initiative: Collaboration with ILMU

Initial discussions have commenced between Ryt Bank, ILMU (YTL’s AI lab) and Provenir’s Data Science team to explore how ILMU’s LLM can be embedded into Provenir decisioning. This early collaboration focuses on use cases such as conversational credit applications, smarter risk insights, and automated policy explanations, laying the foundation for future AI-powered decision intelligence across Ryt Bank’s products.

Expansion

Property & Infrastructure-Linked Products

As YTL expands its townships, transport, and utilities footprint, Ryt Bank can create embedded financial products that are tightly linked to YTL’s property and infrastructure ecosystem. This includes tailored financing for YTL developments, bundled offerings that combine housing, utilities, connectivity, and banking, as well as subscription-style payments for transport and community services—all managed through the Ryt app. Such offerings deepen ecosystem stickiness, unlock new recurring revenue streams, and position Ryt Bank as the primary financial layer across YTL’s integrated developments.

OTHER CUSTOMER STORIES

Continue reading

2025 winner

Provenir Wins Credit Risk Solution Award at 2025 Credit & Collections Technology Awards 

Written by provenirmulti on . Posted in News.

Provenir Wins Credit Risk Solution Award at 2025 Credit & Collections Technology Awards

AI decisioning platform recognized for innovation in
credit risk management across consumer lending and banking

LONDON, UK – December 1, 2025 – Provenir, a global leader in AI decisioning platforms for financial services, won the Credit Risk Solution award at the 2025 Credit & Collections Technology Awards. The ninth annual ceremony took place November 20, 2025, at the Midland Hotel in Manchester.

The Credit & Collections Technology Awards celebrate companies driving innovation in credit risk management across the financial services industry. The awards recognize organizations that consistently advance the profession through technology and strategic innovation.

Provenir’s award reflects the company’s work helping financial institutions make smarter credit risk decisions across the customer lifecycle—from onboarding through collections. The platform processes over 4 billion decisions annually for 110+ enterprise customers across 60+ countries, combining real-time risk assessment with embedded AI to help banks, fintechs, and consumer lenders balance growth with portfolio health.

The platform enables risk teams to automate underwriting decisions, adapt credit strategies in real-time, and optimize portfolio performance across consumer lending, banking, and BNPL use cases. Recent customer results include 10% increases in approval rates, 30% decreases in delinquent accounts, and 2X growth in customer base while maintaining risk discipline.

Provenir has been recognized as a Strong Performer in Forrester’s Wave for AI Decisioning Platforms and a Category Leader by Chartis Research in Credit Portfolio Management, Credit Lending Operations, and Risk Tech Quadrant for Retail Credit Solutions.

View All the Awards

View Awards

LATEST NEWS

Continue reading

Columbia Credit Union

Customer Story: Columbia Credit Union

Written by provenirmulti on . Posted in Customer Story.

Columbia Credit Union is a member owned financial co-op serving over 100K members and managing over $2 billion in assets. Founded in 1952, CCU provides a full suite of personal & business financial services, including checking/savings, consumer + auto loans, credit cards, Home services, and SMB lending. CCU is known for their strong community focus & are recognized for their deep commitment to member services. Credit Unions like CCU are focus on strong member experiences and financial inclusion for the geography and members they serve.
  • Industry
  • Region
  • Countries

    United States

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
Land MRR: $13,200
Land PS: $170K
Land DS: $0
Expand MRR: ~$17.5K
Expand PS: $84K
Expand DS: $71K
  • Opportunity Created
    August 6, 2020
  • Opportunity Won
    June 24, 2021
  • Go-Live
    Late 2020, Technical Go-Live

    Unknown Full Go-Live

  • Customer Expansion
    • In Progress:
      • Deposits New Account Opening – Fraud Checks
      • Account Management
      • Deposits New Account Opening Cross-Sell Model (Data Science)
      • Indirect Auto loan portfolio analysis and optimization (Data Science)
    • Future:
      Collections, SMB Lending, HELOC, Case Management
Initial Opportunity Details

  • Customer Challenge

    • Digital transformation, move to automated underwriting to reduce cumbersome onboarding and loan process and create a more frictionless experience for Members
    • Auto, Personal Loans, and Credit Cards will be focus 1st.
    • 4,500 apps / month, where only 20% / 900 are auto approved. 40% approved, with around 425 approvals per month. Biggest channel is auto dealer indirect channel.
    • Improved and enhanced member communication
      • Ability to automatically send “notifications” and/or “text messages”
      • Ability for two way communication with applicant via text messages

  • Provenir Impact

    • Automated Underwriting Process By implementing Provenir solutions in conjunction with incumbent Meridian Link, CCU could greatly increase their automated approval rates. This improved customer satisfcation, removed unnecessary friction for good users, and streamlined the UW process.
    • Reporting The ability to Easily generate “out of policy” reports to include the reason the loan was approved/declined was a significant piece for CCU.Ingesting the decision information based on where loan failed in the auto decision process provided insights for future improvement within the workflow
    • Member Communication Utilizing decisioning and data insights from Provenir to communicate value to their member community. Ability to automatically send “notifications” and/or “text messages” Ability for two way communication with applicant via text messages​

  • Competitors

    Meridian Link, NCINO

  • Why We Won

    • Speed to change / time to market.
    • The ability to auto decision based on numerous “if-then” scenarios – Ease of updating auto decision criteria
    • Object-oriented solution design enabled more complex, multi-threaded decisioning strategies
    • Reporting:
      • Easily generate “out of policy” report to include reason the loan was approved/declined
      • Decision information based on where loan failed in the auto decision process

  • Pain Points

    • Current automated approval at 20%; wants to get to 70%.
    • Limited member communication
    • Incumbent vendor’s slow and friction-filled delivery experience
Customer Growth

Growth Opportunities

TBD

Expansion

TBD

OTHER CUSTOMER STORIES

Continue reading

Dotz

Customer Story: Dotz

Written by provenirmulti on . Posted in Customer Story. No Comments on Customer Story: Dotz

Dotz was founded in 2000 with the goal of connecting consumers and retailers through a points-based loyalty program. Over the years, the company expanded its customer base and diversified its services, becoming a digital platform that delivers benefits directly to users.

In April 2022, Dotz announced the acquisition of 49% of the credit fintech Noverde, which specializes in credit solutions for individuals through B2B2C partnerships. This acquisition strengthened Dotz’s financial services strategy and expanded its product portfolio, including personal credit, cards and BNPL solutions.

  • Industry
  • Region
  • Countries

    São Paulo​ Brazil​

  • Line of Business
  • Solution
  • Module
  • Infrastructure
  • ROI
  • Competition
Customer Timeline
Land MRR: $16,289
Land PS: $137,905
Expand MRR: ~$21K
Expand PS: $70K
  • Opportunity Created
    July 6, 2024
  • Opportunity Won
    April 30, 2025
  • Go-Live
    Last week of October Technical Go-Live

    1st week of November Full Go-Live

  • Customer Expansion
    • In Progress: DS – Ongoing discussions (risk model, fraud and offer hyper-personalization)
    • Future: Case management for suspected and investigated fraud
    • Future: Credit recovery initiatives (collection)
Initial Opportunity Details

  • Customer Challenge

    The company currently operates with a legacy solution that requires significant effort from the technology team while providing minimal autonomy to business areas. This setup limits agility, hinders the achievement of strategic goals and reduces alignment with corporate directives.

    There is a need to enhance customer portfolio management by channeling clients into the Financial Services funnel to drive profitability. In addition, the company plans to expand its portfolio with the launch of new products, such as Personal Loan, BNPL (Buy Now, Pay Later) and a proprietary Credit Card, strengthening its growth strategy and revenue diversification.

  • Provenir Impact

    • Accelerating Customer Base Monetization Provenir enables the integration and orchestration of data from multiple sources, allowing greater personalization of financial product offers to Dotz customers. With faster and more accurate decision-making, Dotz can expand cross-sell and up-sell opportunities, increasing conversion into higher-margin products such as BNPL and proprietary credit cards. The platform becomes a cornerstone of Dotz’s strategy to transform into a Financial Services Hub, positioning the company as a leader in customer loyalty with strong monetization through financial services.
    • Risk Reduction and Improved Credit Quality The use of AI and machine learning enables more precise credit decisions, with greater ability to assess risk profiles in real time. This translates into lower delinquency rates, improved operational efficiency, and greater predictability of results. Dotz will strengthens its credibility with financial partners and investors, consolidating its position as a reliable and sustainable platform in the medium and long term.
    • Agility and Innovation in Product Launches Provenir’s low-code solution enables agile workflow development, providing autonomy for rapid adjustments without heavy reliance on IT. Dotz gains speed in testing, adapting, and launching new financial products, staying aligned with market trends and consumer needs. This positions Dotz as an innovative and competitive player, capable of scaling new business models and creating differentiation against traditional banks and emerging fintechs.

  • Competitors

    Oscilar

  • Why We Won

    • Strength and Strategic Alignment
      Provenir has distinguished itself through its robustness as a company, with extensive international experience and a comprehensive solution that is fully aligned with the client’s current needs and prepared to sustain long-term growth.
    • Robust Solution with AI
      Provenir’s decisioning platform is fully scalable, enabling the agile development of workflows, integrated orchestration with internal systems, databases, alternative data sources, and bureaus—ensuring greater efficiency, operational flexibility and agility in addressing new demands.

  • Pain Points

    • Pricing
    • Fast implementation
    • Flexibility in building strategies
    • Easy integration with other systems and databases
    • AI functionality
Customer Growth

Growth Opportunities

Case Management for Suspected Fraud

We are organizing a meeting with Dotz’s new Head of Fraud Prevention to explore the adoption of Provenir’s Case Management solution to support the investigation of suspected fraud cases. With this initiative, Dotz will benefit from faster and more automated processes, greater accuracy in risk identification, a significant reduction in financial losses and strengthened governance and customer trust, creating a stronger foundation for sustainable business growth.

Credit Recovery Initiatives (Collection)

Our expansion project includes the development of new debt collection use cases supported by Provenir’s decisioning platform. This initiative will enable greater automation and intelligence in credit recovery processes, with personalized strategies, dynamic customer prioritization, increased recovery rates, reduced operational costs and stronger customer relationships.

Expansion

Data Science Initiative

We are in discussions with Dotz regarding the development of customized models for credit, fraud and offer personalization. The Provenir Data Science team conducted preliminary studies using historical customer data to challenge the current model. The results were satisfactory and very promising.

This initiative aims to improve decision intelligence, automate insight extraction and drive smarter, data-driven strategies.

Example Decisioning Flows
  • Application

    Step 1

    • Portal/App
    • Core Systems and Data
    • Application Submission/Amendment
  • Eligibility

    Step 2

    • Blacklist Data
    • Fraud & ID Data
  • Credit Checks

    Step 3

    • History Data
    • Bureau Data
    • Alternative Data
  • Analytics

    Step 4

    • PD Model Analytics
  • Decisioning

    Step 5

    • Recommend & Highlight
    • Eligibility/Rules/Affordability
OTHER CUSTOMER STORIES

Continue reading