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Business transformation

How U.S. banks and financial institutions can address top priorities and concerns

Article 11-Apr-2025 Read time: min

The last few years have dramatically transformed how U.S. banks and financial institutions process payments. The changes come in response to customer demands for superior onboarding and service experiences, hyper-personalized products, and competitive pricing and offers.

Real-time payment capabilities are in particularly high demand. Yet only 5% of financial leaders say they are confident that their organization can handle real-time payments today, and only 20% feel optimistic about their ability to do so within two years.

This is a crucial moment for leaders of banks and financial services institutions, who are tasked with anticipating the needs and preferences of their customers while managing risk in an increasingly volatile environment.

Kyndryl surveyed 105 IT and business leaders from U.S. banks and financial institutions to learn how they are evolving their payments landscape. The results suggest that the future of payments hinges on:

  • Regulatory compliance and security
  • The modernization of core infrastructure and applications, and
  • The strategic use of generative AI
The financial services industry is undergoing a transformation driven by new technologies and changing consumer behaviors.”

Robert Turner

Senior Vice President and General Manager of U.S. Financial Services, Kyndryl

Women business people use calculators to calculate the company budget and income reports on the desk in the office.
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Regulatory compliance, fraud and third-party risk are top concerns

78% of financial leaders say regulatory compliance is the most critical action area to enable payment modernization.

Regulations establish a standardized cybersecurity and data protection framework, which fosters trust and confidence in digital transactions, and helps mitigate the potential for financial losses and disruptions.

Fraud and third-party risk management are also noted as top barriers to achieving a modern payment ecosystem. The complexity and sophistication of modern fraud techniques, along with the stringent requirements of AML and other such compliances, create substantial challenges.

Bad actors aren’t just going after the bank itself; they’re also looking for ways to exploit critical third-party providers of services. Banks’ and financial institutions’ growing dependence on these external entities comes with increased scrutiny from regulatory bodies and a strategic imperative for safeguarding an organization’s reputation and operational integrity.

78 %

of financial leaders say compliance is the most critical action area to enable payment modernization

39 %

of financial leaders rank fraud and financial crimes among the top barriers to achieving their payment modernization goals

25 %

of financial leaders rank third-party risk management among the top barriers to achieving their payment modernization goals

Keys to success: Banks and financial institutions need to take a holistic view in addressing these challenges through modern technology. Employing secure API integrations, blockchain technology and enhanced biometric verification helps to ensure a secure, compliant and reliable payment transformation, ultimately turning risk management into a strategic advantage.

Organizations can approach this transition in a structured way by creating a roadmap for modernization, keeping in mind the interdependencies among core and newly implemented technologies.

Another key element of maintaining compliance and reducing fraud is prioritizing high-quality protocols such as ISO 20022, a global bank-to-bank messaging standard. ISO 20022 is slated to become the standard across U.S. financial services in July 2025 and required for cross-border payments via SWIFT starting in November 2025.

Before investing heavily in new technology, explore options to enhance existing security and recovery capabilities or modernize legacy environments.”

Aaron Severance

US Security and Resiliency Practice Leader, Kyndryl

Smiling African American client customer buy purchase shop on internet paying online with credit card. Happy biracial woman make payment on laptop on web, use secure banking service system.
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Core systems need modernizing

Payments are changing quickly, driven by new customer demands and technologies like real-time payments, blockchain and digital wallets. That means banks and financial institutions must stay fully informed about financial technology and closely monitor changes in how customers make transactions rather than pursuing simple upgrades to their systems.

One of the main challenges is limited capabilities of core systems. Many back-end systems cannot adapt to modern payment demands, forcing workarounds that create bottlenecks in transaction processing, increase risk exposure and pump up costs over time.

Banks are prioritizing investing in direct, peer-to-peer payment options such as Zelle, Venmo, CashApp and Pay by Bank to give their customers a fast and easy way to pay. But most struggle with the back- and middle-office application interfaces required to connect to these third-party systems.

46 %

of financial leaders say core infrastructure and applications are the most significant barriers to achieving a modern payment environment

58 %

of financial leaders point to application interfaces as the most common operational challenge

45 %

of financial leaders say their company has prioritized investments in peer-to-peer payment options

Keys to success: Financial institutions must prioritize infrastructure and applications modernization to enable growth while reducing compliance risk. Doing so allows for greater flexibility to accommodate the growing volume of digital transactions and shifting customer preferences.

Successful strategies include adopting a phased approach, implementing a microservices architecture and leveraging cloud computing to enhance scalability and security.

Key components of the strategy involve integrating emerging technologies like blockchain and sophisticated AI deployments, and implementing hyper-personalized CX/UX. None of these are turnkey motions, but the investments can unlock real-time transaction processing, advanced security features and increased application interface flexibility.

Recent advancements in core banking systems allow for rapid innovations that allow banks to experiment with newer application stacks and migration patterns.”

Niloy Sengupta

VP, CTO and GTM Strategy Leader, US Financial Services Sector, Kyndryl

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Generative AI holds significant potential  

Financial services leaders identify fraud prevention (74%) and customer support (63%) as top use cases for AI. AI can analyze data in real time to identify fraudulent transactions and synthetic identities, improving security and customer satisfaction. This emerging technology can also detect threats and help organizations recover quickly from cyberattacks.

However, only 15% of financial leaders are confident their infrastructure can fully take advantage of AI. And fewer than 1 in 4 are currently moving to production with AI to support payments. 

Security and privacy, data governance and regulatory concerns are all considered barriers to using AI to support payment goals. IT decision-makers are more concerned than business leaders.

Top barriers to using AI in support of payment goals

64 %

security and privacy

59 %

data governance

55 %

regulations

Keys to success: Business leaders’ lack of confidence in their organization’s ability to leverage AI highlights the pressing nature of the need to invest in robust AI infrastructure. (We found similar concerns in our more-detailed report on AI readiness.) Outdated systems limit the ability to use AI, so there may be a need to modernize infrastructure, applications and data connectivity to realize AI’s actual benefits.

GenAI adoption is a multi-step process. Step one is to develop an AI strategy that addresses risk, mainly focusing on data privacy, regulatory requirements, audit and compliance. Step two is to prioritize specific use cases that provide immediate benefits, such as customer service, customer onboarding and fraud detection. Step three is using a phased deployment of AI across the organization.

We believe that adopting a responsible AI governance model — one that focuses on transparency and ethical and security considerations from the beginning — is not only a force for good but also presents an opportunity for organizations to deploy AI at scale.”

Michael Bradshaw

Global Practice Leader for Applications, Data and AI at Kyndryl