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Industry: Decisioning

Ryt Bank, The World’s First AI-Powered Bank, Selects Provenir for AI Risk Decisioning

Ryt Bank, The World’s First AI-Powered Bank,
Selects Provenir for AI Risk Decisioning

Provenir’s AI Decisioning Platform will support real-time credit risk assessment,
personalized consumer loan approvals and automated compliance checks

Parsippany, NJ – July 23, 2025 – Provenir, a global leader in AI risk decisioning software, today announced it has partnered with Ryt Bank – The World’s First AI-Powered Bank to embolden the company’s innovation and mission to deliver banking done right with speed, simplicity, and innovation.

Ryt Bank has selected the Provenir AI Decisioning Platform to power faster credit decisions and more personalized customer offers for its consumer lending products.

As a newly licensed digital bank, Ryt Bank aimed to rapidly launch a consumer lending product that aligns with its AI-first approach. The challenge was to implement a decisioning infrastructure capable of delivering instant, personalized loan approvals while ensuring compliance with regulatory standards and risk management best practices.

Ryt Bank selected Provenir’s AI Decisioning Platform to support real-time credit risk assessment for instant loan approvals, and for its ability to surface data insights for personalized loan offers based on AI-driven customer profiling. Provenir will also play a crucial role in automating compliance checks to meet regulatory requirements while providing continuous learning models to adapt to changing market dynamics. Finally, Provenir will support fast, accurate decisions to elevate the customer experience, supporting Ryt Bank’s mission to deliver smarter, faster finance and create meaningful impact for all Malaysians.

“Ryt Bank is taking digital banking to a new level with its AI-first approach and we are excited to be a part of its journey… Our AI Decisioning Platform will provide the foundation for Ryt Bank to help reach its business goals via AI-driven decisioning that meets customer expectations for near instant approvals and highly personalized digital interactions.”

Kavinesswaran Karthigasan, Head of APAC, Provenir.

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Provenir Named a Strong Performer in Debut Inclusion in 2025 AI Decisioning Platforms Report 

REPORT

Provenir Named a Strong Performer in Debut Inclusion in 2025 AI Decisioning Platforms Report

Unlock Growth Potential – Without Compromising on Risk

In its debut inclusion, Provenir has been recognized as a Strong Performer in The Forrester Wave™: AI Decisioning Platforms, Q2 2025. The report notes, “Provenir best fits customers who want an all-in-one decisioning solution that includes credit risk, fraud and identity management, collections, and customer management.”

Why We Believe Provenir Stands Out:

  • All-in-One Decisioning:

    Combines data, decisioning, and AI-powered analytics for smarter, faster decisions.
  • Best-in-Class Usability:

    Top ratings for cohesive and intuitive user experience – ensuring high productivity and adoption in weeks not months.
  • Flexible & Scalable:

    Low-code tools empower business users to build and adapt decision strategies without IT.
  • Intelligent Decisions:

    Maximize customer lifetime value and minimize risk with AI Decisioning across the customer lifecycle.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.

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Forrester Wave 2025 PR

Provenir Named a Strong Performer in 2025 AI Decisioning Platforms Report by Independent Research Firm

Per the report, “Provenir best fits customers who want an all-in-one decisioning solution that includes credit risk, fraud and identity management, collections, and customer management.”

Parsippany, NJ – July 14, 2025 – Provenir, a global leader in AI risk decisioning software, today announced it has been recognized as a “Strong Performer” in “The Forrester Wave™: AI Decisioning Platforms, Q2 2025” report.

Forrester evaluated 15 top AI decisioning platform providers against 18 criteria, assessing Current Offering, Strategy, and Customer Feedback.

Per the report, “Provenir’s strategy is to focus on the full credit decisioning lifecycle with prebuilt solutions built on top of the platform to optimize go-to-market resources. However, the platform is quite capable of handling any decisioning use case, giving the company the opportunity to diversify. The company provides solid implementation resources, aiding customer onboarding for enterprise clients. It also facilitates additional services, contributing to effective deployment of decisioning solutions.”

The Provenir AI Decisioning Platform received the highest possible marks in both the cohesive experience and intuitive experience criteria. When looking at the platform capabilities, the Forrester report noted, “Provenir excels in a cohesive user experience, delivering a unified interface with consistent design, as well as an intuitive user experience, boosting productivity for business and technical users.”

The report also states, “Provenir best fits customers who want an all-in-one decisioning solution that includes credit risk, fraud and identity management, collections, and customer management.”

“We are honored to be designated a Strong Performer in our inaugural placement in a Forrester Wave evaluation. Too often organizations have primarily focused on risk mitigation in customer decisioning, while missing moments to build trust, loyalty, and lifetime value. But every interaction is a chance to both manage risk and unlock value in a hyper-personalized way. That balance is where modern AI decisioning excels, and this is exactly what we do at Provenir.”

Carol Hamilton, Chief Product Officer for Provenir

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.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.

The “Forrester Wave”: AI Decisioning Platforms 2025, Q2 2025

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Atom Bank Selects Provenir for Risk Decisioning and Data Orchestration

Atom Bank Selects Provenir for Risk Decisioning and Data Orchestration

The UK’s first app-based bank to deploy Provenir’s award-winning AI Decisioning Platform to support multiple consumer and business banking products

Parsippany, NJ – April 28, 2025 – Provenir, a global leader in AI risk decisioning software, today announced Atom Bank has selected the Provenir AI Decisioning Platform to streamline and modernize credit risk decisioning and data orchestration.

Atom Bank launched operations in April 2016 as the UK’s first app-based bank, offering mortgages and savings through its app, as well as secured business lending for small and medium-sized enterprises. It is currently the highest rated UK bank, savings bank and mortgage lender on Trustpilot.

With Provenir’s AI Decisioning Platform, Atom Bank is streamlining its data orchestration and decisioning in the areas of credit, fraud, and identity, across its residential mortgage, business banking secured lending, consumer savings, and Buy-to-let mortgages offerings.

“Atom Bank provides simple, well-designed mortgages and savings products that deliver ease, speed and value right to your device. As our customer base and operations continue to grow, our adoption of Provenir’s AI Decisioning Platform will reduce the complexities of managing multiple risk decisioning platforms while supporting our commitment to exceptional customer experience…Provenir demonstrated a deep understanding of what we were looking for in a modern, all-in-one decisioning and data solution that could scale to meet our growth plans.”

Chris Storey, Chief Commercial Officer

“We’re proud to partner with Atom Bank, which has quickly become one of the most innovative and successful challenger banks in the U.K.,” said Mark Collingwood, Vice President Sales Europe at Provenir. “Our AI-Decisioning Platform will help Atom Bank achieve its business objectives and customer experience aspirations to support its goal of being ‘the most customer-centric bank on the planet.’”

Provenir’s AI Decisioning Platform brings together the power of decisioning, data, and decision intelligence to drive smarter decisions. This unique offering gives organizations the ability to power decisioning innovation across the full customer lifecycle, driving improvements in customer experience, best-in-class fraud prevention, access to financial services, business agility, and more.


atom

About Atom Bank

Atom Bank is the UK’s first app-based bank, on a mission to make the experience of borrowing and saving faster, simpler and better value than anyone else.

The bank launched operations in April 2016, and offers award-winning mortgages and savings through its app, alongside secured business lending for small and medium-sized enterprises.

Based in the North East of England with a team of over 500 people, Atom is here to change banking for the good, for the better, and for everyone. This means focusing on customers’ needs, delivering better value than the incumbents, providing an exceptional app-based experience and offering award-winning customer support via phone, chat, email and social channels. The bank has some of the best customer service credentials in the UK, having achieved 5-star ratings on both the iOS and Android App Stores, and on Trustpilot, whilst consistently delivering Net Promoter Scores (NPS) in the high 80s.

Based in Durham, Atom is an engaged and active member of the North East Community. In 2022 Atom signed a five-year Memorandum of Understanding with Durham University to progress key research and diversity initiatives. The region has one of the highest levels of youth unemployment in the UK and Atom is passionate about addressing the critical digital skills gap and helping develop young people and other groups that are under-represented within the industry.

As of November 2021, all employees enjoy a four-day working week, after Atom became the largest company – and only bank – in Britain to introduce the policy for all employees, with no reduction in salary.

The Atom executive team are highly experienced, having built and run some of the most well-respected banks in the UK. CEO Mark Mullen has 30 years’ experience in the sector and was previously CEO at the multi- award-winning telephone and internet bank first direct. The team is supported by a strong non-exec board, chaired by Lee Rochford.

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NEWS: The Shifting Consumer Credit Landscape Necessitates Credit Decisioning Platforms

The Shifting Consumer Credit Landscape Necessitates Credit Decisioning Platforms

As consumer expectations evolve and economic conditions remain uncertain, the need for agile, intelligent credit decisioning has never been greater. In this guest article for Global FinTech Series, Michael Fife explores how modern, AI-powered platforms are transforming the way financial services organizations assess risk, deliver faster approvals, and meet the demands of a digital-first world. Read the full article to discover why the future of credit decisioning is already here.

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The Shifting Consumer Credit Landscape Necessitates Credit Decisioning Platforms

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Datos

Report

Beyond Point Solutions: Orchestrating the Future of Fraud Prevention

Fraud is evolving fast—and financial institutions need to move even faster.

This report from Datos Insights explores why traditional point solutions can no longer keep pace with today’s fraud landscape—and how modern fraud orchestration platforms are helping financial services organizations unify strategies, adapt in real time, and outpace fraudsters.

Provenir is proud to be featured as a leading provider, showcasing how our AI-powered decisioning platform helps orchestrate smarter, faster, and more flexible fraud prevention across the customer lifecycle.

What You’ll Learn

  • Why 95% of FIs say siloed data is their #1 fraud-fighting challenge
  • How orchestration platforms reduce integration pain and IT delays
  • The four categories of fraud orchestration solutions—and how to choose what fits best
  • What makes Provenir’s low-code, high-flexibility platform stand out
  • Key trends shaping the $3.6B fraud orchestration market by 2028

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Intelligent Response to the Changing Face of Fraud Johannesburg

ProvenirNEXT: Roundtable

Intelligent Response to the Changing Face of Fraud

29th May, 2025
8:00 am – 11:00 am
The Maslow Hotel, Sandton, Johannesburg

Fraudsters are evolving faster than ever, using AI-driven tools, synthetic identities, and social engineering to bypass traditional controls. As financial institutions and businesses across EMEA adapt to this growing threat, fraud prevention strategies must evolve beyond static rule-based models to embrace real-time decisioning, advanced analytics, and automation. This exclusive roundtable brings together industry leaders to explore how organisations can strengthen fraud defences, leverage AI-driven decisioning, and balance security with seamless customer experiences.

Key Discussion Points:

  • Inside the Fraudster’s Toolkit – A demonstration of AI-powered tools used by criminals to bypass ID&V controls, exposing the latest fraud techniques and their impact on financial institutions.
  • Building a Robust Defence Against Application Fraud – Best practices and cutting-edge technologies for real-time fraud detection and prevention, including how financial institutions can harness data, analytics, and automation to stay ahead of emerging threats.
  • Optimising Customer Experience – How streamlining real-time decisions and leveraging intelligent data orchestration can reduce fraud risk while improving onboarding and customer retention.
Format:
  • 8:00 am – Keynote from Frédéric Dubout – Fraud Specialist, Provenir

  • 8:30 am – Roundtable discussion and breakfast
  • 11:00 am – Official close and summary

Register your interest here

Frédéric Dubout

Frédéric Dubout

Frédéric is an experienced Risk and Fraud Prevention Specialist with 25 years of expertise across diverse roles and industries. His career spans both client-side and solution-provider perspectives, beginning with hands-on operational positions and progressing to strategic and governance-level responsibilities. This journey has allowed him to develop both a deep and broad understanding of risk and fraud management across various sectors, including telecommunications, e-commerce, banking and finance. His expertise includes fraud prevention, telecommunications, and credit risk management.
The Provenir Thought Leadership Roundtable Series brings together industry visionaries, C-level executives, and thought leaders for insightful discussions on redefining risk decisioning strategies. The series fosters a collaborative environment for sharing forward-thinking perspectives, exploring innovative approaches, and shaping the future of fraud prevention in an era of rapid technological evolution and increasing digital risk.

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The State of AI, Risk, and Fraud in Financial Services

The State of AI, Risk, and Fraud in Financial Services

2025: A Year of Transformation in Risk Decisioning

The financial services industry is facing an inflection point. In 2025 (and beyond), staying ahead isn’t just about managing credit risk and preventing fraud – it’s about leveraging AI, unifying data, and modernizing decisioning systems to unlock new growth opportunities.

To better understand the challenges and priorities shaping the industry worldwide, we surveyed nearly 200 key decision-makers among financial services providers globally. The results highlight a pressing need for AI-driven insights, better data orchestration, and an end to fragmented decisioning strategies. This blog breaks down the key takeaways from the survey results and what they mean for the future of decisioning and your business.

Credit Risk and Fraud Prevention:
The Industry’s Top Concerns

The ability to manage credit risk and prevent fraud effectively remains a top priority, especially in an increasingly complex, digital economy. Forty-nine percent of our respondents identified managing credit risk as their biggest issue, and 48% cited detecting and preventing fraud as a primary concern, a noticeable increase from last year’s survey (43%).

While these issues aren’t new, their growing intensity underscores the fact that traditional approaches to risk decisioning just aren’t sufficient any more. Financial services providers are facing more sophisticated fraud threats, rising economic uncertainty, and increasing regulatory scrutiny – making real-time, AI-driven decisioning more critical than ever.

The escalation of fraud in particular is not shocking. While the industry leverages AI and automation for smarter decisioning, fraudsters are also utilizing advanced tech for more complex schemes, creating a never-ending loop. Identity fraud, deepfake technology, synthetic identities, and account takeovers are evolving – quickly. But at the same time, demanding consumers are pushing for seamless digital experiences, with instant approvals and frictionless onboarding becoming the bare minimum. This sort of demand creates a delicate balancing act – how do you ensure the proper security without adding unnecessary friction to the customer journey?

Providers relying on rule-based fraud detection alone will struggle to keep up. Fraud patterns shift in real-time, and static rules can’t adapt quickly enough. This showcases the urgent need for AI-powered fraud prevention solutions that can analyze behavioral data, detect anomalies, and predict fraud with greater accuracy. And AI-powered fraud detection doesn’t just stop fraud – it can also help reduce false positives, ensuring that legitimate customers aren’t caught in security roadblocks.

On the other side of the coin, managing credit risk has always been central to financial services providers. But economic volatility, including rising interest rates, inflation concerns, and shifting regulatory policies, means lenders must be more accurate than ever when assessing creditworthiness. Traditional credit scoring models often fail to provide a complete picture of a borrower’s risk profile, and without real-time insights, you may be missing out on prime opportunities for upsell/cross-sell and other revenue gains across the customer lifecycle. Not to mention the very real, very present risk of delinquencies and credit losses.

Over 30% of respondents in our survey cited limited data access as a challenge in risk
decisioning. Without access to real-time financial data, alternative credit signals, and behavioral analytics, making inaccurate credit decisions could either expose you to bad debt or cause you to reject creditworthy customers. Or both.

The Need for a Holistic Approach:
Moving Beyond Reactive Risk Management

To effectively combat fraud and manage credit risk, a reactive approach is no longer enough. Instead, you need to embrace a proactive, AI-driven strategy that integrates risk decisioning across the entire customer lifecycle. A successful approach includes:
  • Real-time AI-powered decisioning:

    Instead of relying on static models, consider AI-driven models that continuously learn and adapt to new fraud patterns and credit risks.
  • Integrated fraud and credit risk teams:

    Fraud and credit risk are often managed in separate silos, leading to inefficiencies and missed insights. A unified decisioning approach enables better risk assessment, faster response times, and enhanced customer experiences.
  • Expanding data access and alternative data integration:

    The ability to incorporate real-time transactional data, open banking insights, and behavioral analytics is critical for both fraud prevention and credit risk assessment.
  • Real-time AI-powered decisioning:

    Instead of relying on static models, consider AI-driven models that continuously learn and adapt to new fraud patterns and credit risks.
  • Integrated fraud and credit risk teams:

    Fraud and credit risk are often managed in separate silos, leading to inefficiencies and missed insights. A unified decisioning approach enables better risk assessment, faster response times, and enhanced customer experiences.
  • Expanding data access and alternative data integration:

    The ability to incorporate real-time transactional data, open banking insights, and behavioral analytics is critical for both fraud prevention and credit risk assessment.

The Urgent Need for AI:
Investment Priorities in 2025 and Beyond

Our survey found that 63% of financial services providers plan to invest in AI/embedded intelligence for risk decisioning, making it the top investment priority for 2025. Other key areas include:
  • 52%
    Risk decisioning solutions
  • 42%
    New data sources and orchestration
  • 33%
    Integrated fraud and decisioning solutions

The growing emphasis on AI decisioning reflects a shift from reactive risk management to proactive, real-time decisioning. Financial services providers recognize that AI can enhance credit risk assessments, strengthen fraud detection, and improve operational efficiency—but only if it’s powered by high-quality, integrated data.

While AI adoption is accelerating, poor data integration remains a significant barrier. Without seamless data orchestration, AI models risk being ineffective, leading to missed opportunities and inaccurate decisioning. If you’re investing in AI, you must prioritize data quality and accessibility to ensure these solutions deliver measurable impact.

In 2025, success in AI-driven risk decisioning (and maximizing ROI in AI investments) will depend on not just adopting AI, but implementing it with the right data strategy — one that fuels better insights, faster decisions, and a more seamless customer experience.

The AI Hurdles:
Why Adoption Isn’t as Simple as It Sounds

AI investment may be surging, but nearly 60% of financial services providers still struggle with deploying and maintaining AI risk models. The biggest roadblocks include:
  • 52%
    Data quality and availability
  • 48%
    Initial costs and unclear ROI
  • 47%
    Integration challenges
  • 42%
    Infrastructure requirements
  • 40%
    Regulatory compliance concerns

Implementing AI requires a solid foundation of clean, integrated data, robust infrastructure, and clear governance. The significant data challenge highlights the need for the seamless orchestration of new and alternative data sources (which can be easily integrated into decisioning) to truly unlock AI’s full potential.

One way to ensure success is to start small and scale smartly. To mitigate risk and ensure measurable impact, consider starting with AI projects that offer quick ROI (credit scoring, automated customer decisioning) or may be slightly less regulated (fraud detection). Try a phased approach, focused on early wins, continuous optimization, and scalable infrastructure, in order to build confidence in AI-driven strategies while demonstrating tangible business value.

Breaking Down Silos:
The Shift Towards Unified Decisioning

Disjointed decisioning systems are a major roadblock to efficiency. More than half (59%) of our respondents cited a lack of seamless data flow and unified insights as their biggest challenge. Other key issues include:
  • 52%
    Operational inefficiencies
  • 40%
    Added costs
  • 35%
    Disparate, siloed technology

Slower risk assessments, challenging fraud detection and inconsistent customer experiences are other outcomes from operational inefficiencies – when risk, fraud, and credit teams operate in silos, financial institutions miss out on better collaboration, faster approvals, more accurate risk mitigation, and growth opportunities.

But by consolidating risk decisioning into a single, end-to-end platform, you can:

  • Improve cross-team collaboration between fraud, credit risk, and compliance teams
  • Enable real-time, AI decisioning for faster and more accurate risk assessments
  • Enhance the customer experience by reducing friction and improving approval times
  • Maximize value across the customer lifecycle
  • Optimize growth for long-term success

Real-Time Decisioning and Personalization:
The New Frontier

Instant, frictionless experiences – this is what today’s consumers expect, whether applying for credit, disputing a charge, or managing their accounts. And providers are taking note, with 65% prioritizing real-time, event-driven decisioning as a key focus area. Other top priorities include:
  • 44%
    Eliminating friction across the customer lifecycle
  • 44%
    Increasing customer lifetime value
  • 36%
    Hyper-personalization

Traditional, batch-based decisioning models aren’t enough in an era where customer expectations are shaped by instant approvals and personalized digital interactions. AI-driven decisioning can improve risk assessments, but also enables proactive engagement and tailored offers that drive loyalty and maximize customer value.

To meet evolving consumer demands, adopt real-time, AI-powered decisioning models that ensure a more customer-centric approach, and which can:

  • Adapt dynamically to customer behavior in real time
  • Eliminate unnecessary friction while maintaining strong risk controls
  • Leverage hyper-personalization to increase engagement and lifetime value
Being able to deliver smarter, faster, and more customer-centric experiences with AI and real-time data and insights allows you to strike the right balance between effective risk mitigation and growth and customer retention.

A Call to Action for Financial Institutions

A more modern approach to risk management and fraud prevention is key. With fraud becoming more sophisticated, credit risk remaining a top concern, and AI adoption accelerating, financial services providers must rethink how they assess risk, optimize decisioning, and enhance customer experiences. To stay competitive and resilient in 2025 and beyond, focus on three key areas:
  • Invest in unified decisioning platforms

    to eliminate silos, reduce inefficiencies, and improve risk assessment accuracy
  • Leverage AI strategically

    by focusing on solutions that offer clear ROI and operational impact
  • Prioritize data integration and quality,

    ensuring seamless orchestration of diverse data sources to power more intelligent decisioning

The future of risk decisioning isn’t about isolated fixes—it’s about a holistic, AI-powered approach that aligns data, automation, and decisioning processes to maximize impact. Those that embrace this transformation will be better positioned to mitigate risks, drive growth, and deliver superior customer experiences.

Check out the full survey report for detailed responses.

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NEWS: AI Risk Decisioning Leader Provenir to Sponsor Financial Services Events

AI Risk Decisioning Leader Provenir to Sponsor Upcoming Banking and Financial Services Events

Parsippany, NJ – February 19, 2025 – Provenir, a global leader in AI risk decisioning software, today announced its participation and sponsorship of three upcoming banking and fintech events focusing on key topics, including digital banking, banking trends, and policy and regulatory issues.

The events provide Provenir an opportunity to meet with financial services leaders to better understand the challenges they face amidst rising consumer debt, evolving digital banking platforms, and fraud mitigation. According to a recent survey by Provenir, nearly half of all financial services executives are struggling with managing credit risk and detecting and preventing fraud.

Details of the events include:

future digital finance connectFuture Digital Finance Connect 2025

Future Digital Finance Connect 2025
(Feb. 24-25, New Orleans)
The inaugural Future Digital Finance Connect is an exclusive, invitation-only gathering for senior digital and innovation leaders from top big banks, community banks, credit unions, credit cards and insurers. Provenir is a sponsor.

fintech meetupFintech Meetup

Fintech Meetup
(March 10-13, Las Vegas)
Fintech Meetup is the largest and most productive event for networking in the industry, bringing together fintech leaders to network, collaborate, and discuss industry issues. Provenir is a bronze sponsor and will be located at stand #2326.

cba liveCBA Live 2025

CBA Live 2025
(March 17-19, Orlando)
At CBA LIVE, retail banking professionals come to explore regulatory and policy issues, learn new trends, and share ideas that will improve their business strategies and better serve their customers. Provenir is a silver sponsor.

Provenir’s AI Decisioning Platform brings together the power of decisioning, data, and decision intelligence to drive smarter decisions. This unique offering gives organizations the ability to power decisioning innovation across the full customer lifecycle, driving improvements in the customer experience, best-in-class fraud prevention, access to financial services, business agility, and more.
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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.

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