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How Do Banks Stay Ahead? Use the Right Tech to Connect the Business From End-To-End

Vidya Balakrishnan
ServiceNow

The banking industry is navigating a perfect storm: volatile markets, breakneck technological advancements, and relentless pressure to boost margins. At the same time, banks face increasing risks across cybersecurity, regulatory compliance, and operations.

Adding to this pressure, new research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business.

To drive long-term success, now is the time to innovate. The research surveyed 1,125 executives from around the world to find out how much progress banks made driving AI-powered business transformation across their enterprises, and found that the banks prioritizing business transformation are leading the pack in achieving financial, operational, and strategic value.

Known as “Pacesetters,” this group of leaders is fostering growth by investing in advanced technology like artificial intelligence, automation, and end-to-end IT platforms. Let's explore how these innovative companies are staying ahead of the curve by examining where they are placing their biggest bets in 2025.

Safe, Secure, and Resilient Operations

Pacesetters are doubling down on customer privacy and security, with 54% saying it's a top priority — and they're leveraging cutting-edge technology to do so. Nearly half are employing AI across their operations to support fraud detection, compliance and regulatory measures, risk management, and cybersecurity.

For instance, with AI-driven systems in place, a bank could monitor transaction volumes and detect unusual patterns, such as a sudden spike in login attempts from a known high-risk location. By flagging this activity in real-time, the bank would have the ability to freeze access to potentially compromised accounts immediately, preventing unauthorized transactions and protecting sensitive customer data.

Similarly, AI can support compliance by continuously scanning through transaction records for anomalies that may raise regulatory concerns. If AI detects incomplete or incorrect data entries, it can alert compliance teams to correct these issues proactively, ensuring the bank stays in line with evolving regulatory standards.

Our research shows that this strategy is paying off, as 84% of Pacesetters have made significant progress strengthening their digital defenses, benefiting from AI's ability to identify risks and close security gaps before they become larger threats.

Streamlined and Integrated Customer Experiences

Pacesetters understand that building deep relationships and customer loyalty begins with seamless user journeys. In our survey, 94% said they're using generative AI to reduce friction and offer more personalized experiences, and 41% are using new technology to ensure seamless banking across mobile, website, and email.

Imagine receiving a text from your bank about an unauthorized charge and having to call to dispute it. While the bank investigates, you're left waiting for weeks or even months with a frozen, unusable card. On the bank's side, handling disputes triggers complex, manual processes involving compliance and merchant verification, which are costly and time-consuming.

Banks should implement solutions that handle transaction disputes efficiently, prevent issues from escalating, and streamline information management — enhancing the customer experience while simplifying bankers' tasks simultaneously.

For instance, omnichannel banking allows a customer to quickly report a questionable purchase or discrepancy, seek support and trigger an investigation from a live representative through the bank's help center, and finally, resolve the issue. Throughout the process, AI keeps the data and conversation history accessible and secure across all channels, while providing alerts so the customer doesn't have to repeat information or feel out of the loop.

Customer expectations have never been higher, and AI is helping banks meet the demand for connected, personalized journeys, building a more trusted, frictionless, and integrated customer experience across all touchpoints.

Connected Communication Across the Organization

Lastly, we found that the banks at the forefront of business transformation are using technology to streamline operations and bring teams together. In fact, 82% of Pacesetters are harnessing cloud, SaaS, and other digital solutions to scale business processes and foster cross-functional collaboration and feedback.

For instance, when a customer applies for a mortgage, a bank can utilize a centralized collaboration platform that connects loan officers, underwriters, and customer service representatives. As the loan officer processes the application, they can communicate directly with underwriters to resolve any questions or issues quickly, reducing bottlenecks. If the customer reaches out for updates, the customer service representative can access the application status in real-time and provide accurate, timely information without delay.

Another example is an investment banking firm that improved trade processing efficiency through a solution that created connected communication across the organization, linking systems of record for seamless task management. This eliminated reliance on shared email sorting and manual classification, providing better oversight, an audit trail, and instant visibility of settled trades. The result was a more efficient process that minimized risk, managed volume surges, and reduced capital costs without increasing staff.

By tapping into cloud-based collaboration tools, banks can break down silos between departments to foster more transparent communication and speed up processes. Effective collaboration allows organizations to quickly adapt and grow, which is crucial for navigating high-speed markets and increased competition.

Digital Innovation Is Transforming Banking for Tomorrow

Our data highlights that industry leaders are setting new standards by using advanced technology to prioritize customer privacy and security, strengthen customer experiences, and implement connectivity across systems, processes, people, and departments.

But where does one start this transformation journey? It begins with an AI platform that connects every part of the organization. This technology not only streamlines data management but also fosters seamless collaboration across teams, ensuring that customer inquiries and needs are addressed promptly.

Yet, technology is just one piece of the puzzle. Banks need a strategic approach that centers around their people — both employees and customers. This means nurturing a culture of innovation where teams feel empowered to embrace new tools and share insights, all while staying aligned with the bank's goals. By doing so, banks can create a collaborative environment that thrives on agility and customer-centricity.

Vidya Balakrishnan is GM and VP of Financial Services at ServiceNow

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

How Do Banks Stay Ahead? Use the Right Tech to Connect the Business From End-To-End

Vidya Balakrishnan
ServiceNow

The banking industry is navigating a perfect storm: volatile markets, breakneck technological advancements, and relentless pressure to boost margins. At the same time, banks face increasing risks across cybersecurity, regulatory compliance, and operations.

Adding to this pressure, new research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business.

To drive long-term success, now is the time to innovate. The research surveyed 1,125 executives from around the world to find out how much progress banks made driving AI-powered business transformation across their enterprises, and found that the banks prioritizing business transformation are leading the pack in achieving financial, operational, and strategic value.

Known as “Pacesetters,” this group of leaders is fostering growth by investing in advanced technology like artificial intelligence, automation, and end-to-end IT platforms. Let's explore how these innovative companies are staying ahead of the curve by examining where they are placing their biggest bets in 2025.

Safe, Secure, and Resilient Operations

Pacesetters are doubling down on customer privacy and security, with 54% saying it's a top priority — and they're leveraging cutting-edge technology to do so. Nearly half are employing AI across their operations to support fraud detection, compliance and regulatory measures, risk management, and cybersecurity.

For instance, with AI-driven systems in place, a bank could monitor transaction volumes and detect unusual patterns, such as a sudden spike in login attempts from a known high-risk location. By flagging this activity in real-time, the bank would have the ability to freeze access to potentially compromised accounts immediately, preventing unauthorized transactions and protecting sensitive customer data.

Similarly, AI can support compliance by continuously scanning through transaction records for anomalies that may raise regulatory concerns. If AI detects incomplete or incorrect data entries, it can alert compliance teams to correct these issues proactively, ensuring the bank stays in line with evolving regulatory standards.

Our research shows that this strategy is paying off, as 84% of Pacesetters have made significant progress strengthening their digital defenses, benefiting from AI's ability to identify risks and close security gaps before they become larger threats.

Streamlined and Integrated Customer Experiences

Pacesetters understand that building deep relationships and customer loyalty begins with seamless user journeys. In our survey, 94% said they're using generative AI to reduce friction and offer more personalized experiences, and 41% are using new technology to ensure seamless banking across mobile, website, and email.

Imagine receiving a text from your bank about an unauthorized charge and having to call to dispute it. While the bank investigates, you're left waiting for weeks or even months with a frozen, unusable card. On the bank's side, handling disputes triggers complex, manual processes involving compliance and merchant verification, which are costly and time-consuming.

Banks should implement solutions that handle transaction disputes efficiently, prevent issues from escalating, and streamline information management — enhancing the customer experience while simplifying bankers' tasks simultaneously.

For instance, omnichannel banking allows a customer to quickly report a questionable purchase or discrepancy, seek support and trigger an investigation from a live representative through the bank's help center, and finally, resolve the issue. Throughout the process, AI keeps the data and conversation history accessible and secure across all channels, while providing alerts so the customer doesn't have to repeat information or feel out of the loop.

Customer expectations have never been higher, and AI is helping banks meet the demand for connected, personalized journeys, building a more trusted, frictionless, and integrated customer experience across all touchpoints.

Connected Communication Across the Organization

Lastly, we found that the banks at the forefront of business transformation are using technology to streamline operations and bring teams together. In fact, 82% of Pacesetters are harnessing cloud, SaaS, and other digital solutions to scale business processes and foster cross-functional collaboration and feedback.

For instance, when a customer applies for a mortgage, a bank can utilize a centralized collaboration platform that connects loan officers, underwriters, and customer service representatives. As the loan officer processes the application, they can communicate directly with underwriters to resolve any questions or issues quickly, reducing bottlenecks. If the customer reaches out for updates, the customer service representative can access the application status in real-time and provide accurate, timely information without delay.

Another example is an investment banking firm that improved trade processing efficiency through a solution that created connected communication across the organization, linking systems of record for seamless task management. This eliminated reliance on shared email sorting and manual classification, providing better oversight, an audit trail, and instant visibility of settled trades. The result was a more efficient process that minimized risk, managed volume surges, and reduced capital costs without increasing staff.

By tapping into cloud-based collaboration tools, banks can break down silos between departments to foster more transparent communication and speed up processes. Effective collaboration allows organizations to quickly adapt and grow, which is crucial for navigating high-speed markets and increased competition.

Digital Innovation Is Transforming Banking for Tomorrow

Our data highlights that industry leaders are setting new standards by using advanced technology to prioritize customer privacy and security, strengthen customer experiences, and implement connectivity across systems, processes, people, and departments.

But where does one start this transformation journey? It begins with an AI platform that connects every part of the organization. This technology not only streamlines data management but also fosters seamless collaboration across teams, ensuring that customer inquiries and needs are addressed promptly.

Yet, technology is just one piece of the puzzle. Banks need a strategic approach that centers around their people — both employees and customers. This means nurturing a culture of innovation where teams feel empowered to embrace new tools and share insights, all while staying aligned with the bank's goals. By doing so, banks can create a collaborative environment that thrives on agility and customer-centricity.

Vidya Balakrishnan is GM and VP of Financial Services at ServiceNow

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...