Real transformation is not about what tools you choose. It's about how the logic behind your decisions has changed.
Over the past few years, I've watched financial companies go through this journey in different ways. Some transformed systematically and came out with a process with a real competitive advantage. Others wasted resources on point solutions and returned to the same problems in a year or two. The difference was almost always not in the technology, but in the approach.
What really drives transformation
Behind each wave of digital transformation in finance, there are several forces operating simultaneously. They should be understood separately, because each of them imposes a different type of pressure on the organization.
The first is a change in customer expectations. People who are used to instant onboarding in a neobank or personalized recommendations in e-commerce come to a traditional bank and are faced with paper forms and a week of waiting. This is not just an inconvenience, it is a signal of a mismatch between what the customer considers the norm and what the institution offers.
The second is competition from fintech. Neobanks, payment platforms, they are not trying to build a better bank. They are trying to remove the bank from the customer journey where its presence creates friction. This is a fundamentally different competitive logic, and traditional players are slowly starting to understand this.
The third is regulatory pressure. GDPR, PSD2, AML requirements, cybersecurity, these are not just compliance issues. They are infrastructure requirements that force organizations to build systems with built-in transparency, auditability, and data protection. Companies that perceive regulation as an opportunity to rethink their architecture emerge stronger from this process.
Technology as a building material, not a goal
AI and machine learning have already changed the way financial companies detect fraud, conquer loans, and personalize products. But there is an important nuance here, when a model by itself does not solve anything if there is no quality data behind it and a clear understanding of what solution it should improve.
The cloud has given financial companies what they have long needed, the ability to scale without capital investments in their own infrastructure and respond to changes much faster.
Blockchain remains the most ambiguous technology on this list. The cryptocurrency hype has overshadowed real-world application scenarios, especially in cross-border payments and smart contracts, where traditional systems remain too slow and opaque. Here, technology solves a specific problem, rather than looking for a problem to solve.
Three cases worth knowing
Abstract arguments in favor of transformation are not convincing. It is much more useful to look at companies that have already gone this way and understand not what they did, but why it worked out the way it did.
Bunq
Bunq became the first European neobank to reach profitability in 2023, reaching €53.2 million. Part of this success is due to its early adoption of AI, starting in 2018, the company has been using machine learning to monitor transactions. The system analyzes about 520 parameters of each payment, from the time of execution to the speed of data entry.
The lesson here is not that AI is useful. The lesson is that Bunq built this logic into its operating model from the start, rather than adding it on top of an existing system.
Close Brothers
Close Brothers automated the process of verifying and processing payments through UiPath. Before that, manual work regularly led to delays and errors. Once implemented, the system independently reads documents and requests missing information, with the team only connecting at the final review stage.
Importantly, automation here did not replace people. It shifted their attention to tasks where human participation is truly needed. This is the correct logic of implementing RPA, which is often ignored.
Monzo
Monzo is not a traditional bank with a mobile app. It is a different business model, where the digital experience is the foundation, not an addition. With a profit of $19.5 million last year and plans to expand into Europe, the digital-first approach is scalable. Their expense tracking and budgeting tools aren’t a marketing ploy, they’re part of a product offering that builds loyalty.
Where is this all headed
A few trends I’m watching closely. The first is real-time financial reporting. Decisions that are currently made based on data from a week ago will be made based on data from the current hour.
The second is that DeFi is moving beyond speculation. The decentralized finance market could reach $600 billion by 2033. But more importantly, DeFi is opening up access to financial services to people who are still outside the banking system. This is not just a market opportunity; it is a structural shift in who has access to finance.
The third is financial products for the gig economy. Millions of people work outside of traditional employment relationships, but the financial system is still geared towards salaried workers with stable incomes. The companies that are the first to build products for unstable income, automatic expense tracking, and flexible taxation will capture a huge underserved market.
How We Verify Information
Every figure in this material is checked against its primary context: the company's own disclosures, public regulatory texts, and independent industry reports. When a number comes from a vendor or a press release, we mark it as a claim until it is confirmed by a second source.
Our reference points for security, data protection and infrastructure topics include NIST publications, ENISA reports, ISO/IEC 27001 guidance, and public materials from the Cloudflare Blog and the Microsoft Security Blog.
- Source check. Each claim is traced to a named, verifiable origin.
- Date check. Figures are read in the context of the year they were published.
- Opinion check. Personal views are presented as views, not as established facts.
Transformation is measured by the quality of decisions, not by the number of tools a company has installed. — Ledger Pulse editorial team