Frank Schwab

I help navigate digital transformation

Beyond 'Embedded AI'

Why Truly AI-Native Core Banking Will Reshape the Industry




AI as an Add-on, Not the Core


The financial services industry is in the midst of a profound transformation, driven by technological innovation and evolving customer expectations. At the heart of this evolution lies the core banking system (CBS), the foundational technology managing a bank's critical operations. As artificial intelligence (AI) matures and demonstrates its transformative power, its role within CBS is becoming increasingly central. While established CBS vendors and cloud-native players are integrating AI into their offerings, I believe a new wave of CBS providers will emerge with AI as their foundational strategy, disrupting the market by leveraging AI not only within the CBS itself but also in the crucial and complex process of migration.


The Flaw in "Embedded" Thinking


Existing CBS vendors, such as Temenos, Oracle FSS, and Infosys Finacle, have adopted an "embedded AI" approach. This typically involves augmenting their existing, often monolithic, systems with AI capabilities for specific functions like fraud detection, personalized recommendations, or operational efficiency. However, this strategy carries a significant limitation, akin to the early days of "embedded Internet" or "embedded mobile banking" features in non-native applications. Simply bolting on AI to legacy architectures  leads to inefficiencies, data silos, and a failure to fully leverage AI's potential. The true power of the internet was realized not through embedding it into existing applications, but through the creation of entirely new, internet-native applications and paradigms. Similarly, the revolutionary impact of mobile banking came not from simply shrinking existing web pages onto phone screens, but from designing mobile-native apps that leveraged device capabilities and offered intuitive, on-the-go experiences. Fully realizing the potential of AI in core banking may necessitate a ground-up rethinking of the CBS, moving beyond mere augmentation.




The Rise of AI-Native Vendors


This is precisely where new CBS vendors can carve out substantial market share. These emerging players will build their core banking systems with AI as a fundamental architectural principle, not an afterthought. This means designing the entire CBS from the ground up to be AI-native, enabling real-time data processing, predictive analytics, and autonomous operations across all banking functions. Furthermore, a critical differentiator for these new entrants will be their use of AI for the notoriously challenging and costly CBS migration process. AI-powered migration tools can automate data mapping, identify and resolve inconsistencies, and significantly reduce the time, risk, and expense associated with moving from legacy systems. This dual AI strategy – AI in the core product and AI in the migration – will be a powerful competitive advantage.



The Promise of a Truly Intelligent Core


Banks contemplating a CBS transformation are increasingly aware of the complexities and potential pitfalls. The promise of an AI-native CBS, coupled with an AI-driven migration pathway, offers a compelling value proposition. They may choose to wait for such sophisticated vendors to emerge, or even consider building their own AI-first CBS, recognizing that the long-term benefits of a truly intelligent core could far outweigh the upfront investment. The agility, hyper-personalization, and operational efficiency promised by an AI-native CBS are no longer mere aspirations but increasingly essential for survival and growth in a competitive financial landscape.



The Dawn of AI-First Core Banking


While incumbent CBS vendors are integrating AI into their existing frameworks, the analogies of "embedded Internet" and "embedded mobile banking" suggest that this approach may not unlock AI's full transformative potential. The future of core banking lies with vendors and banks who design and build CBS with AI at their core, extending its application to the often-daunting migration process. This holistic AI strategy will allow them to successfully compete with established players and cloud CBS vendors, attracting banks eager for a truly intelligent, efficient, and future-proof core banking solution.




#Megatrends #42megatrends  #CoreBanking #AI #BankingTransformation #AINative #Fintech #CoreBankingMigration

Published in CoreBanking, all on 10.06.2025 9:30 Uhr. 0 commentsComment here

Does the Future Hold a Place for Traditional Core Banking Systems (CBS)?



This week, I reconnected with a dear friend from the business world. We collaborated on Deutsche Bank's core banking transformation between 2007 and 2010—the "famous" EUR 1.5 billion Project Magellan. Back then, I served as Deutsche Bank's chief IT architect.


He inquired about my perspective on the future of traditional Core Banking Systems (CBS). This topic has come up in discussions with over a dozen CEOs and CIOs across Europe and MENA in the past two years.

Here's what I believe:

Traditional CBS face a challenging future. They'll either be stripped down to their core with minimal customization or replaced by fourth or fifth-generation CBS. These newer systems are real-time, AI-powered, and focused on essential functions like account and customer management. Other major functions, like credit and payments, will be handled by specialized, flexible vendor products using the latest software technology stacks.

My conclusion: CBS as we know it is nearing its end.



Published in SundayThoughts, CoreBanking, technology, banking, all on 13.07.2024 9:30 Uhr. 0 commentsComment here

Navigating the Maze of Legacy IT Landscape of Banks - Exploring Four Approaches

Banks struggle to balance modernization with the limitations of legacy systems. While no single approach dominates, considerations like a bank's size, goals, and risk tolerance will shape their transformation strategy. Success hinges on not just technology, but also effective change management and adaptability within the organization.


Banks today face a critical challenge: how to evolve and thrive in a rapidly digitizing landscape while grappling with the inertia of their often aging, complex legacy systems.


In a recent LinkedIn poll, I asked my community about the best approaches for banks to handle legacy technologies. While none of the three options (gradual modernization, complete overhaul, or ecosystem integration) emerged as a clear favorite, there was a general dislike for the idea of a complete overhaul. This article reflects the valuable insights shared by several contributors, with special thanks to Ewan MacLeod for suggesting the Greenfield Approach.





Charting the Course: Considerations for a Successful Transformation


The optimal approach for each bank depends on a unique blend of factors, including size, risk appetite, budget, strategic goals, and the complexity of their legacy system. Careful consideration of the benefits, challenges, and pitfalls presented by each approach is crucial for informed decision-making. While gradual modernization might suit larger banks prioritizing stability, smaller, more agile players might favor greenfield development. Ecosystem integration offers a collaborative avenue, but complete overhauls require meticulous planning and significant resources.


Let’s have a look at the 4 approaches




1️⃣ Gradual Modernization - Minimizing Disruption with Measured Steps


The gradual modernization approach prioritizes a measured climb, tackling key areas like customer-facing applications or core processes in stages. This strategy offers the advantage of minimizing disruption to ongoing operations and the customer experience. It leverages existing investments in legacy systems, allowing for targeted improvements in areas with demonstrably high impact. However, this measured approach can be a slow and piecemeal process, potentially hindering overall effectiveness. Integration issues may arise between new and old systems, and perpetuating outdated functionalities can hinder the adoption of truly innovative solutions. The pitfalls of this approach lie in a lack of a clear long-term vision, leading to a patchwork of solutions without synergy, and delaying crucial upgrades, which can render the bank less competitive in the long run.


Many incumbent banks are following the path of gradual modernization, such as Deutsche Bank, Barclays Bank, or Citibank.




2️⃣ Bold Overhaul - Embracing a Future Unburdened by the Past


The complete overhaul approach takes a more audacious path, aiming for a clean slate by replacing the entire technology stack with modern, integrated systems. This bold move unlocks several benefits, including fostering agility, scalability, and future-proof technology. Streamlined operations and potential long-term cost reductions are alluring prospects. However, this disruptive and resource-intensive process carries significant implementation risks, with high upfront costs and the potential for delays and budget overruns. The loss of institutional knowledge and expertise embedded in legacy systems also presents a challenge. Poor planning and execution can lead to chaos and operational downtime, while neglecting employee training and change management can breed resistance and hamper adoption.


Some incumbent banks, such as the Commonwealth Bank of Australia, are known for successful bold overhauls, albeit at very high costs, while others, like Deutsche Bank, didn’t succeed.




3️⃣ Collaboration for Innovation: Harnessing the Power of the Ecosystem


Instead of a complete overhaul, the ecosystem integration approach focuses on weaving legacy systems into a broader digital tapestry. This strategy leverages the expertise and innovative solutions of fintech partners, enabling faster time-to-market for new features and functionalities. It allows banks to utilize their existing legacy systems while adding modern capabilities. However, finding compatible partners with secure and reliable solutions is crucial. Managing data security and privacy concerns when integrating with external systems presents another challenge. Potential vendor lock-in and dependence on external partners must also be carefully considered. This approach can stumble if clear governance and collaboration frameworks are not established, leading to confusion and inefficiencies. Overreliance on external solutions can weaken internal development capabilities.


Spanish BBVA and Singaporean DBS are well-known banks pursuing an ecosystem strategy. 


BBVA is recognized as a pioneer in open banking and boasts a successful ecosystem approach. Their robust API platform has spurred numerous fintech partnerships, fostering innovation in their customer offerings. While specifics may evolve, BBVA's commitment to collaboration positions them as a driving force in shaping the future of finance.


DBS boasts one of the most comprehensive and accessible API platforms in the banking industry, with over 200 APIs spanning various financial services. Their dedicated focus on collaboration and developer enablement has made them a leader in open banking, particularly within the Asia-Pacific region.




4️⃣ Building a Greenfield Bank: Unburdened by History, Empowered by the Future


The greenfield development approach takes the most radical path, starting from scratch to build a new technology infrastructure, free from the constraints of legacy systems. This offers unparalleled flexibility and scalability, allowing banks to design systems tailored to their specific needs. It fosters a culture of innovation and agility from the ground up. However, this significant undertaking requires substantial upfront investments and carries the risk of abandoning past investments. Banks may lack the institutional knowledge and expertise needed to build and maintain complex systems, and this approach often carries a longer implementation timeframe compared to others. Ignoring lessons learned from legacy systems can lead to repeating past mistakes, and underestimating the complexity of building and integrating entirely new systems from scratch is a significant pitfall.


When I consider examples like Revolut, Starling, J.P. Morgan's Marcus, Commerzbank's ComDirect, or Deutsche Bank's Bank 24, among others, my takeaway is this: a Greenfield approach works well for startups, but there's no track record for incumbents.



Beyond Technology: The Human Factor in Transformation


It is vital to remember that transformation is not solely about technology. Effective change management, cultural shifts, and employee training are essential for the successful adoption of any approach. By addressing these human factors alongside the technological considerations, banks can ensure a smooth and successful journey towards a future-proofed financial institution.



A Dynamic Journey


Transforming a bank with legacy technology is a complex and multifaceted endeavor. Each approach offers unique advantages and drawbacks, and the ideal path depends on individual circumstances. By carefully considering their specific needs and resources, banks can navigate the maze of transformation and emerge as agile, future-proof institutions in the ever-evolving financial landscape. Remember, the journey is dynamic, and continuous evaluation and adaptation are crucial for navigating the twists and turns towards a successful future.


🔗 LinkedIn poll:  https://bit.ly/3UhV6RM  






Published in DigitalTransformation, CoreBanking, technology, legacy, all on 09.02.2024 9:30 Uhr. 0 commentsComment here

Best Practice Driven Core Banking System Transformation

Between 2005 and 2010 I have analyzed more than 100 core banking system implementations, globally and derived best practices for successful program delivery. Here the first six best practices which I have identified to run a successful core banking system transformation.


In February 2011 we learned that the Irish bank AIB is suing Oracle over a failed, €84 million implementation of its Flexcube banking software. And in July 2011 the Union Bank of Carlifornia has cancelled the implementation of Infosys’ Finacle Solutions - two years after the start of the program. A Boston Consultant Group survey on Renewing Core Banking IT Systems in May 2006 reports that all survey participants said that they had struggled to deal with expanding project scope and changing requirements.


Experience shows that there is a high failure rate of core banking system implementations. We can assume that 25% of core banking system transformations fail without any results, 50% do not achieve the transformation objectives - costs and implementation times double or triple and only 25% of the transformations can be called successful.


Possible causes of the bad success rates of core banking system transformations are widely unknown. Concerned banks, integrators and core banking system vendors keep quiet about failed implementations. 


Bent Flyvbjerg, professor at Oxford University, studies megaprojects. Generally spoken, he argues that people involved in mega projects overestimate their capabilities and underestimate risks. His late research indicates that black swans (very rare events with large scale impact) occur much more often in software mega projects than in any other mega project. Applied to core banking system transformations this means that there is a high likelihood that a single aspect handled wrongly leads to a disaster of the transformation as a whole.


Therefore it is essential for a successful core banking system transformation to understand, plan, control and execute all aspects of a CBS transformation program, comprehensively.


Over the last five years I have analysed more than 100 core banking system implementations, globally and derived best practices for successful program delivery.


Here the first six best practices which I have identified to run a successful core banking system transformation


  1. 1.Shared Strategy: Strategy, objectives and scope are widely shared and changes are managed well by all stakeholder group


  1. 2.Prepared Business Processes: All as-is and to-be business processes well documented and maintained in BPM tool, roadmap in place and maintained


  1. 3.Measurable Benefits: Detailed phased business and benefit plans are followed up and kept up-to-date


  1. 4.Minimum Customization: Customization requirements are kept minimal and are well known to all stakeholders, documented, put into contracts and budgeted 


  1. 5.Real Partnership: Vendor is seen and respected and trusted as partner, agreed split of responsibilities, good communication, both partner help each other if necessary regardless of responsibilities


  1. 6.Strong Governance: Flexible governance structures across landscape, portfolio, program and projects in place. Interdependencies are well understood and managed actively.


At this point in time it is clear that the identified best practices are not sufficient to ensure a successful core banking system transformation. But knowing the occurrence of black swans in mega projects it seems to be obvious that if a bank manages one of the six best practices badly the bank will suffer significantly and add another case to the list of unsuccessful core banking system transformations.












Published in CoreBanking, DigitalTransformation, all on 29.05.2019 9:30 Uhr. 0 commentsComment here

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