For most of the past three decades, the story of Central and Eastern European (CEE) financial services was one of convergence: adopting technologies, business models, and practices pioneered in more mature Western markets.
At UNCHAIN 2026, held in a historic fortress in western Romania and attended by more than 1,000 leaders across banking, fintech, insurance, and technology, a different narrative emerged. The conversation was no longer about catching up. It was about execution, scale, and ownership.
CEE financial institutions are increasingly building, investing, and transforming on their own terms. The region's competitive advantage is no longer simply lower costs- it is a growing combination of technical talent, digital maturity, and operational agility.
Here are the five themes that stood out most, and why they matter for every financial institution navigating the next wave of change.
1. Insurance Is Increasingly Embedded Throughout the Customer Journey
Insurance is evolving from a standalone product into an embedded service.
Whether attached to a flight booking, consumer loan, smartphone purchase, or e-commerce transaction, insurance is increasingly becoming something customers receive rather than actively buy.
The next frontier discussed at UNCHAIN was parametric insurance.
Unlike traditional insurance, which requires claims submission, assessment, and reimbursement, parametric insurance pays a predefined amount automatically when a measurable trigger occurs. No claims process. No adjusters. No lengthy delays.
The appeal is obvious: speed, simplicity, and seamless integration through APIs.
The exact numbers vary, but the trend is clear. Mordor Intelligence forecasts strong growth in European embedded insurance, while Strategy& (PwC) highlights rising consumer acceptance and expects it to become a major distribution channel by 2030. The strategic question is no longer whether embedded insurance will scale, but who will own the customer relationship when it does.
Several contrasting perspectives emerged:
- If insurance dissolves into other products, who actually owns the customer: the carrier, the broker, or the platform doing the embedding?
- One long-established Greek composite insurer pushed back on the techno-optimism. Its argument: trust, the claims experience treated as the real product, solid underwriting, partnerships and local knowledge still decide who wins.
- A newly built, digital-first carrier agreed that brokers are still needed for complex risks, but insisted that the digital experience now determines who controls the relationship.
For now, the market appears to be headed toward a hybrid model. Yet the digital experience is increasingly becoming the deciding factor in who controls customer loyalty.
2. AI's Biggest Problem Isn't AI, but Data and Execution
Across nearly every banking discussion, one message surfaced repeatedly:
The bottleneck is no longer the model.
Financial institutions are not struggling because generative AI lacks capability. They are struggling because their data remains fragmented, inconsistent, and poorly integrated into business workflows. This is further complicated by the prevalence of legacy core banking platforms and historically layered systems, where data is often locked in silos and not readily accessible for real-time use.
In many cases, the effort required to extract, standardize, and reconcile data from legacy programs and platforms is significantly underestimated, slowing down execution. The fact that the vast majority of enterprise generative-AI pilots produce no measurable bottom-line impact is considered by the bankers in the CEE region to be mainly due to weak integration into everyday workflows rather than the models themselves. Also, to be noted, AI built with specialist partners seems to have better success rates than purely in-house builds.
Several practical lessons emerged:
- Clean and govern data before automating processes;
- Treat data as a business asset, not merely an IT responsibility;
- Distinguish clearly between experimentation and operational deployment.
The institutions creating value from AI are not necessarily those with the most advanced models. They are the ones successfully embedding AI into everyday decisions and workflows.
Execution - not technology - is becoming the primary differentiator, particularly in environments heavily shaped by legacy systems.
3. The Innovation Gap Between Banks and Fintechs Is Narrowing
One of the more surprising themes was how outdated the "banks can't innovate" narrative now feels.
A leading regional bank described operating with hundreds of in-house engineers organized into product-focused teams, functioning more like a technology company than a traditional financial institution.
Several participants even noted that established banks have become increasingly attractive destinations for AI and engineering talent, offering access to complex challenges, significant datasets, and long-term stability.
Meanwhile, the industry's perception of disruption is evolving.
The biggest threat is no longer the early-stage startup. It is the digital-first challenger that has already achieved scale.
For CEE institutions, one competitive advantage stood out repeatedly:
- Strong engineering talent;
- Attractive cost-to-capability economics;
- Deep technical expertise across software and data disciplines.
The question is no longer whether institutions can build. It is whether they can effectively govern, prioritize, and scale what they build.
4. Hyper-Personalisation Is Becoming a Strategic Priority
For all the discussions around infrastructure, compliance, and AI, most roads ultimately led back to the customer.
The ambition is straightforward: move beyond static product catalogs and toward proactive financial guidance delivered at the right moment, through the right channel, to the right customer.
The challenge is far less straightforward.
Organizations quickly discover that personalization at scale exposes every weakness in their data architecture. Fragmented customer information, inconsistent records, and disconnected systems become immediate barriers.
Participants also highlighted a growing tension:
Where is the line between personalization and intrusion?
The answer depends heavily on customer trust and an evolving regulatory environment that is still struggling to keep pace with technological capabilities.
Done well, hyper-personalisation can become a significant competitive advantage.
Done poorly, it can undermine the trust on which it depends.
Ultimately, personalization is not a separate transformation initiative. It is the reward for getting data, governance, and customer understanding right.
5. Europe’s Position in the AI Race Raises Important Questions
Beneath the optimism surrounding AI sat a more serious concern.
Several speakers questioned Europe's ability to remain competitive in the global AI race.
The concerns were familiar but increasingly urgent:
- Limited homegrown cloud infrastructure;
- Dependence on foreign foundation models;
- Reduced visibility and control over critical technology layers.
A keynote from a former Polish prime minister and central bank governor amplified these concerns, arguing that Europe too often regulates emerging technologies before creating the conditions necessary for innovation.
There was also a more optimistic counterpoint.
History shows that technological shifts can allow regions to leapfrog incumbents. But leapfrogging requires more than ambition. It requires disciplined execution, investment, and a willingness to move from experimentation to deployment.
That challenge applies as much to institutions as it does to policymakers.
The Bottom Line: CEE's Opportunity Is No Longer About Potential
The most striking takeaway from UNCHAIN 2026 was that the region has largely moved beyond the adoption phase of digital transformation.
The ingredients for success already exist: talent, entrepreneurial energy, strong institutions, and growing technological capability.
The challenge now is execution.
- Embedded insurance is moving into the mainstream, shifting competition toward customer ownership rather than product distribution.
- AI success will be determined less by model sophistication and more by data quality, integration, and operational discipline.
- Banks are proving they can innovate at scale, leveraging the region's deep engineering talent.
- Hyper-personalisation is emerging as the next competitive frontier, but only for organizations capable of earning and maintaining trust.
- Europe's long-term competitiveness will depend on whether it can balance innovation, regulation, and technological sovereignty.
CEE financial services no longer appear to be catching up.
Increasingly, it is defining its own path forward.
