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Author: Amy Sariego

fraud for telco data sheet

DATA SHEET: Fraud for Telco

Provenir: Application Fraud for Telcos

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

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NEWS: 2025 New Global Survey

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

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

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

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

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

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

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

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

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

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

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

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

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Survey: 2025 Global Risk Decisioning Survey

Survey: 2025 Global Risk Decisioning Survey

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

The results highlight:

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

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BLOG AI Round up

BLOG: Shaping the Future of Decisioning

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

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

commbank

Commonwealth Bank of Australia (CBA)

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

jpmorganchase

JPMorganChase

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

bank of america

Bank of America

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

bmo

BMO

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

Schroders Capital

Schroders Capital

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

capital one

Capital One

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

itau

Itaú Unibanco

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

Santander

Santander Bank

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

dbs

DBS Bank

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

cimb

CIMB

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

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

Ready to shape the future of decisioning with AI?

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EBOOK: How Telcos Can Boost Revenue Without the Risk

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

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

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Latest Ebooks

Mind the Gap: The Need for Speedy, Accessible SME Lending

Mind the Gap: The Need for Speedy, Accessible SME Lending

EBOOK Mind the Gap: The Need for Speedy, Accessible ...
eBook: Beyond Onboarding: Buyer’s Guide to Risk Decisioning Platforms 

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EBOOK Beyond Onboarding:Buyer’s Guide to Risk Decisioning Platforms Book ...
Pivot To Profitability: Evolving Your Buy Now, Pay Later Strategy

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boss article

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

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

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

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See how Provenir helped improve customer service and revenue generation.

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NEWS: Financial Services Trends for 2025

Financial Services Trends for 2025

Fraud Prevention, Customer Account Management, and More

Financial institutions will continue to face a complex set of both challenges and opportunities in 2025, including customer management, tech advancements, and the always-evolving world of fraud prevention. How can you position your organization for success this year? Check out the article from Finextra, featuring Provenir’s EVP of North America, Kathy Stares, for all of the insights.

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Trends for 2025

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News: Chartis Research Executive Brief Details Provenir ‘Best-in-Class’ Capabilities for Credit Risk and Fraud Mitigation

Chartis Research Executive Brief Details Provenir ‘Best-in-Class’ Capabilities for Credit Risk and Fraud Mitigation

With the convergence of credit and fraud as a business function, automation and advanced technologies are paramount for holistic decisioning at speed and scale

Parsippany, NJ – January 22, 2025 – As financial institutions endeavor to balance risk with opportunity across credit, fraud, and identity/compliance, a new executive brief from Chartis Research details the most crucial technology capabilities to address key and emerging credit decisioning use cases.

Organizations must verify identity quicker, detect fraud earlier, and make more accurate credit decisions overall. The Chartis Research brief outlines key requirements for “best-in-class” decisioning, including the application of Machine Learning and AI, automation in vital areas such as Know Your Customer (KYC), and real-time fraud alerts. The importance of cross-institutional data sharing and data-driven identity verification and scoring for real-time risk assessment and synthetic ID fraud detection are also emphasized as key capabilities.

Per Chartis Research analysts, Provenir, a global leader in AI Decisioning Software, provides best-in-class market-leading functionality across the board.

“Chartis considers Provenir to be a global leader in software and services, providing top-tier RegTech and risk products to financial institutions across the globe,” said Anish Shah, Research Director at Chartis Research. “Provenir exhibits best-in-class capabilities nearly across the board, with comprehensive solutions for credit risk decisioning, credit monitoring, credit risk management, credit portfolio management, identity verification and fraud and ID monitoring and management. The company’s adoption of such advanced technologies as AI and ML has enabled it to provide an industry leading automated workflow framework that addresses the market challenges around credit and fraud risks. It also provides a robust analytical framework that allows financial institutions to analyze data and make timely decisions in real time. The fact that Provenir delivers on both these fronts is distinctive.

“Due to the highly configurable nature of its platform, Provenir empowers clients across a range of industries, including payments, banking, digital banking, small and midsize enterprise (SME) lending, credit unions, FinTech, telecom, auto financing, buy now, pay later (BNPL), consumer lending, credit cards and embedded finance.”

“As the financial services landscape evolves, it is clear that combining credit and fraud management is no longer a choice but a necessity,” said Carol Hamilton, Chief Product Officer for Provenir. “Provenir’s AI Decisioning Platform empowers institutions globally to streamline operations, combat fraud, and drive better business outcomes. By leveraging cutting-edge AI and Machine Learning technologies, Provenir enables organizations to make smarter, faster, and more accurate decisions, driving success in an increasingly complex and regulated market.”

chartis

The full report, which details the convergence of credit and fraud, industry trends, and an overview of Provenir’s AI Decisioning Platform, can be downloaded here.

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AI In Banking for Smarter Decisions Business Lunch with Provenir

You’re Invited: AI In Banking for Smarter Decisions

Business Lunch with Provenir

Unlock the Power of AI for Smarter Banking Decisions

Join Provenir for an exclusive business lunch tailored to senior banking executives. This intimate event offers a unique opportunity to explore how AI-driven decisioning can help mitigate risks, elevate customer experiences, and navigate the complexities of today’s financial landscape.

  • 📅 When:

    28th January

  • 📍 Where:

    Café Belge, DIFC, Dubai

  • 🕒 Time:

    1:45 PM – 3:45 PM (local time)

What to Expect

  • 1:45 PM – Welcome and Networking

    Kick off the afternoon with a warm welcome from Provenir and an opportunity to network with industry peers. Enjoy a specially curated menu while connecting with thought leaders and fellow executives.

  • 2:45 PM – Peer Exchange and Collaborative Insights

    Engage in an interactive session focused on shared experiences, challenges, and innovative solutions for the banking sector. This collaborative discussion will provide actionable insights to enhance your strategies.

  • 3:45 PM – Closing Remarks and Continued Networking

    Wrap up the event with closing insights and enjoy additional networking time to solidify connections and spark further conversations.

Reserve Your Seat Today

Spaces are limited for this exclusive gathering. Don’t miss your chance to gain invaluable insights and elevate your approach to AI-powered decisioning in banking.

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News: Embracing the Soon-to-Be $228 Billion Embedded Finance Revenue Opportunity

Embracing the Soon-to-Be $228 Billion Embedded Finance Revenue Opportunity

The value of embedded finance across a variety of sectors (travel to retail and everything in between) is increasing – enhancing customer loyalty and creating new revenue streams. Are you prepared to take advantage of it? Read as Kathy Stares, Provenir’s EVP of North America, shares her thoughts for Finextra, on the value of embracing embedded finance, and how to overcome obstacles to get there.

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Embedded Finance Oportunity

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