Digital transformation in banking

So what’s driving the urgency behind digital transformation? And how can process intelligence help financial institutions overcome key barriers? Stick around to find out.

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The what, the how and the why now?

Every bank is doing it, but not every bank is doing it well. To stay competitive — and afloat — in a turbulent economic climate, a robust and continuous digital transformation strategy is critical for banks and other financial service providers.

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1. What is digital transformation in banking?

Digital transformation in banking refers to the integration of digital solutions across every area of banking operations, including financial products, banking services, and back-office operations.

Banking has undergone consistent digital transformation since the 1990s, with the advent of basic online banking services like the ability to transfer funds and check balances. Today, the landscape is far more advanced. Emerging technologies like AI, automation, and cloud computing are driving unforeseen leaps in efficiency, accuracy, and quality of service.

As the pace of technological advancements shows no sign of slowing, successful digital transformation is no longer about getting to a specific end point. It’s about being able to adapt to change faster, more easily, and more effectively. On a continuous basis.

2. What’s driving digital transformation in banking today?

Today, banking has to shapeshift to survive. Banks and other financial organizations are in a state of reactive flux, navigating a volatile and competitive market, as well as increasingly sophisticated forms of financial crime. Yet the many factors motivating digital transformation in the banking industry can be distilled down into three key points:

2.1 Keeping up with customer expectations

Just as other industries have embraced hyper-convenience and instant-access services, banks must meet growing customer expectations for speed, without compromising on security or UX. According to Alkami’s Digital Banking Performance Metrics report, the rate of account holders using digital banking checking account services reached 77% in 2024.

Challenger “neobanks” have set a new bar for mobile banking, with next-level personalization, engaging budgeting tools, and accessible options for functions like person-to-person payments. But as well as keeping up with these new digital services, the traditional bank must sustain and optimize its other channels of contact. The data shows consumers still want the reassurance of a human presence — with 29% stating they prefer to resolve complex issues over the phone, according to Zendesk's CX Trends Report.

To keep up with these evolving customer needs, traditional banks and other financial institutions must become fully adaptive, working towards a position where they can adopt and continuously capitalize on change.

  • Read how a large US bank uses Celonis to drive digital transformation and reduce costs, all while delivering an impeccable customer experience.

2.2 Modernizing to enable smarter operations

It’s no secret that the banking sector has been slow to evolve. With digitally-native alternatives springing up every month, financial institutions need to modernize to survive, let alone prosper, but a Revolut report reveals two thirds of businesses feel “legacy banks” are too slow to adapt to their needs.

This isn’t for lack of effort. In fact an Autorek survey of financial services professionals finds 50% of US and UK respondents review the efficiency of the back office every year. What’s holding banks back is an overreliance on labor-intensive manual processes, siloed departmental systems and communications, and fragmented tech stacks. This, in turn, leads to inefficiencies, wasted resources, and creates a barrier to the successful implementation of emerging technologies like AI. To stay competitive, banks must reduce their dependency on legacy systems, embracing a process-centric approach to modernization, and leveraging tools capable of securely handling such data-rich systems.

Risk management has never been more crucial to the financial sector, with illicit financial flows expected to reach $6 trillion by 2030. Threats aren’t only diversifying, but are becoming more sophisticated too. AI may be driving digital transformation, but it’s also being wielded by cybercriminals to augment their capabilities, leading to more prolific and advanced forms of fraud like personalized phishing and social engineering attacks.

To mitigate this risk, regulatory reform is frequent and ongoing, but these updates vary hugely by region and market. The UK, for instance, is introducing a new corporate criminal offence called ‘failure to prevent fraud’.

It’s vital that banks stay agile to keep up with shifting compliance regulations, but the modernization of operations and processes will also tighten defenses against cybersecurity threats. With real-time visibility across the tech stack, as well as improved reporting and monitoring facilities, financial institutions can work to close the gaps bad actors exploit.

3. The role of AI in digital banking transformation

Even before the recent buzz around generative AI, artificial intelligence had emerged as a central component in digital banking transformation. It’s hard to precisely define what such a versatile, amorphous technology might mean for the banking industry in the future — but it’s likely to be a gamechanger for automation and efficiency.

Banks today are starting to use AI for relatively basic use cases, like customer service chatbots. But these only scratch the surface of what AI can do. The real value from AI will come when banks apply it to improve customer experiences, enable smarter operations, and respond to changing risks and regulations.

To do this, banks and every other financial institution will need to improve their approach to AI deployments. Only 61% of the banking professionals surveyed for our 2025 Process Optimization Report say they currently get the expected ROI on AI, compared with 73% of respondents across all industries.

With new technologies come new trends that banks must adapt to. Here are some of the key themes within banking digital transformation:

  • The business move to mobile banking

55% of Americans use a mobile banking app to manage their accounts, and 65% feel they should be able to accomplish any financial task through a mobile app. But increasingly, small to medium-sized businesses are making this shift too. Challenger banks are catering to SMEs with digital platform features like smart currency management, while other purpose-built FinTech startups are entering the market at a rapid pace.

  • Embedded finance impacts banking models

The integration of financial products and services into ecommerce or SaaS platforms allows non-banking businesses to offer financial services to their customers within the context of their existing digital experience. As discussed at FinovateEurope, embedded finance is an opportunity for banks to widen their distribution footprint for minimal costs. But it may also be a risk for customer loyalty as banking brands become distanced from consumers.

  • Gamification of mobile banking apps

Intended to boost engagement on the customer journey, many banks are already leveraging elements of game design in their mobile apps. Personalized analytics reports, monthly savings goals, badge collection… These innovative features are diversifying how and why customers use mobile banking apps, all while improving retention and financial literacy.

  • Digital wallets dominate

They might not be a new technology, but digital wallets are the fastest growing payment method world over, with 68% of the population predicted to be using them by 2029. An increasing number of businesses are going “cashless” — and the CAGR of digital wallet transactions between 2023 and 2027 is estimated to be 15%.

  • Personalization takes precedence
    AI is powering enhanced customer experience through personalization, allowing banks and other organizations to reshape their offering in line with individual preferences. Through customer data collection and analysis, banks can offer personalized communications, customer-specific advice and even tailored products.

“The challenge lies in filtering this data to extract meaningful insights. Many digital banking platforms struggle to leverage this data effectively, resulting in generic insights that lack the depth needed for true personalization.”

Alex Kreger, Forbes Council Member, UX Strategist, Founder of UXDA

5. Challenges to digital transformation in banking

As mentioned earlier, the biggest challenge to digital transformation in banking is a complex, siloed systems architecture. Because the banking industry was among the first to adopt digital technology, both retail banks and commercial banks now have aging legacy systems that aren’t suited to the modern landscape, and a significant amount of technical debt. McKinsey research reveals, for example, that universal banks operate IT applications that are, on average, 14 years old, compared to just three years old for digital banks.

Failure to address this technical debt means banks are attempting any digital transformation initiative with fragmented systems and an over-reliance on clunky manual processes. This isn’t helped by poor communication and collaboration between siloed teams.

When it comes to AI-powered digital transformation, this fragmentation presents a particular challenge. To be effective, AI solutions need to understand which processes take place in which systems, where there are handovers between processes, and why exceptions happen. AI also needs to understand the relevant business rules, and how each bank uniquely defines its KPIs. Right now most banks can’t give AI the input it needs to succeed because they don’t have visibility into their business processes.

6. How Process Intelligence helps banks with digital transformation

The Celonis Process Intelligence Platform helps banks with digital transformation by using process data, standardized process knowledge, and AI to create a process digital twin of banking operations.

With visibility of how processes run and interact across all systems and departments, banks can find improvement opportunities and enable change across any process, including credit applications, cross-border payments, and regulatory reporting.

Here’s how Process Intelligence helps the three change factors we discussed earlier:

  • Keeping up with customer expectations: Process Intelligence provides end-to-end visibility of the customer journey so banks can see what’s happening at every interaction point and optimize processes to improve the experience for the individual.
  • Modernizing to enable smarter operations: Process Intelligence integrates with an unlimited array of banking systems to enable end-to-end improvement and automation of core banking processes.
  • Navigating an evolving risk landscape: Process Intelligence helps banks meet ever-changing regulations, reduce operational risk, and improve fraud prevention mechanisms.

Process Intelligence also enables banks to use AI more effectively, by giving it the process understanding and the business context it needs to succeed. Because it understands how banking operations run, Process Intelligence can find AI use cases with real business value – from fraud detection and investigation co-pilots to customer onboarding AI agents – and fuel them with high-quality process data.

For real world examples of how Process Intelligence supports continuous digital transformation in the banking industry, check out our new guide, Process Intelligence for Banking: The Ultimate Guide.

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