On 19 November 2025 we held our latest SEED Alumni Connect event, in collaboration with UNIQA, hosted by Krisztián Kurtisz and Péter Prokop.
At our most recent Alumni Connect event, held in collaboration with UNIQA, participants were invited to reflect on a pressing question many executive teams are now facing: what does real value creation with AI look like in today’s business context?
Bringing together decision-makers from diverse industries, the event offered more than just a glimpse into future possibilities. It created space for grounded conversations around technological disruption, leadership responsibility, and what it means to maintain a human-centred approach in an AI-driven world.
The program featured keynote sessions from Krisztián Kurtisz, CEO of UNIQA, and Péter Prokop, Director of Operations and Customer Management at UNIQA, followed by a panel discussion moderated by Dr. László Eszes, CEO and Academic Director at SEED. Contributing to the panel were Krisztián Kurtisz, Péter Prokop, Sándor Olti, COO of Intuitech, and László Sabjányi, former CEO of Bolt and Wolt Hungary.
Krisztián Kurtisz opened the session with a compelling reflection on the convergence of AI and robotics. As he outlined, we are approaching a “perfect technological storm” that is not only set to redefine industries, but also reshape the very structure of work and how value is created within organisations.
He described a future in which robots serve as the physical embodiment of AI, taking over certain manual roles without requiring major infrastructure changes. These systems are expected to operate within existing environments, potentially with even greater efficiency than their human counterparts.
The “soul and brain” behind this transformation, he argued, is AI itself. And while much is said about the long-term vision, Kurtisz focused on its immediate impact in three strategic areas: operational efficiency, enhanced customer experiences, and the early stages of business model reinvention.
Importantly, he emphasised that AI should not be seen as a futuristic abstraction. It is a current business reality. In his view, the greater challenge is not the technology itself, but the way organisations approach it. Leaders must initiate thoughtful and structured conversations about AI’s direction, set responsible boundaries, and ensure it is applied intentionally. Without such dialogue, there is no clear path forward.
Péter Prokop translated vision into action by presenting NiQA 1.0, UNIQA’s AI-powered assistant. Built on five key values—reliability, empathy, expertise, availability, and discretion—the assistant is designed to support home insurance claims through seamless, human-like interactions.
Through a live demonstration, Péter showed how NiQA is already being used to streamline the reporting process. The system is capable of interpreting natural language, analysing uploaded images, and providing real-time feedback, all while maintaining a tone that feels both professional and empathetic.
Initial results have been highly encouraging. User feedback indicates that the assistant is perceived as not only approachable but, in some cases, more accurate than manual claim processing. Looking ahead, Prokop suggested that the long-term goal could be a fully automated claims assessment and payout system, eliminating the need for human validation in most cases.
The session concluded with a multi-perspective panel discussion, offering insights from across the fields of leadership, operations, and technology. Moderated by Dr. László Eszes, the panel featured Krisztián Kurtisz, Péter Prokop, Sándor Olti and László Sabjányi.
Sándor Olti raised one of the session’s most profound questions: as AI surpasses human capabilities both intellectually and physically, how will people find purpose in a world where they are no longer economically essential? He warned that we are approaching a turning point, stating: “Until now, humans could prove they were intellectually superior to AI. That’s no longer true. AI will be capable of outperforming us both mentally and physically.”
Krisztián Kurtisz highlighted the lack of societal-level dialogue about AI’s long-term implications. While AI is being rapidly integrated into operations and customer processes, conversations around its deeper impact on employment, or the economy are largely absent.
“AI is not as futuristic or complex as we think—we just need to start talking about it” he stated, urging leaders to take an active role in shaping how AI is introduced and governed within their organisations.
Péter Prokopemphasised that the integration of AI is fundamentally reshaping job roles. In his view, this is not an incremental evolution but a structural transformation. He raised concerns about the lack of societal preparedness. Without proactive national-level engagement, the shift could place immense pressure on public systems—from pensions to healthcare.
László Sabjányi presented a more optimistic view. He anticipates a short-term restructuring, where some roles decline, but new positions, particularly in AI system development and maintenance emerge. While acknowledging that the transition will be difficult for some, he believes AI will create as well as replace jobs. He noted that the ultimate risk is not job loss but detachment. As AI systems begin to maintain and evolve independently, human relevance could diminish.
László Sabjányi shared how, during his time at Wolt, AI tools were introduced to improve customer service responsiveness. With tens of thousands of daily orders, AI-assisted systems helped classify complaints and suggest replies, enabling the team to maintain a one-minute response time without expanding headcount. At Bolt, AI was used to automate marketing campaigns and run real-time A/B testing, resulting in a 94% improvement in budget efficiency and reducing reliance on external agencies.
Sándor Olti highlighted similar outcomes in enterprise environments. In collaboration with a global pharmaceutical firm, predictive AI replaced manual sales forecasting in over 60 countries, freeing up hundreds of roles. He also referenced a utility provider where AI agents are automating email classification, data extraction, and system update. These AI agents are trained using the same logic that would be explained to a human “If I can explain it to a person, I can now explain it to AI.”
The discussion reinforced that the questions AI raises go far beyond technology. For executives, it is not only a matter of using AI effectively, but also ensuring that its integration supports human progress, not replaces it.
