Can the insurance sector afford to implement AI amid growing regulatory requirements? What role do data quality and IT architecture play in building business efficiency? And how can an organization be prepared for growth in an era of changing technologies? These issues were discussed during the business breakfast “Insurance 2026+: upcoming trends, data, AI, and new challenges” organized by Gazeta Ubezpieczeniowa and Britenet.
The event was attended by experts and technology leaders from Beesafe, ERGO Hestia, PZU, UNIQA, as well as two Britenet specialists – Paweł Juszkiewicz (Sales Manager) and Piotr Wegner (Director of Solution & Bid Management) – who shared their knowledge and experience during the presentation part. Several dozen representatives of the insurance industry also appeared at Skyfall Warsaw to discuss data, artificial intelligence, security, and the direction of the industry's development.
Key takeaways from the event
- Data and IT architecture are the foundation for the effective use of AI in the insurance industry and a prerequisite for scaling automation across the organization.
- Artificial intelligence increases operational efficiency and the quality of business decisions, but to reap its benefits, you need to ensure the quality and maturity of your data and the competence of your teams.
- Regulations such as the AI Act and DORA support the safe development of technology and operational stability – provided they are implemented rationally, with the involvement of an experienced technology partner, and realistically applied in the day-to-day work of the organization.
Insurance 2026+ – today's discussion about the tomorrow's direction of the industry
Britenet and Gazeta Ubezpieczeniowa initiated a business breakfast entitled “Insurance 2026+: upcoming trends, data, AI, and new challenges” to address technological changes in the insurance sector. The main goal of the meeting was to initiate a discussion among experts on the future direction of the industry, the search for best practices to support companies in their development, and adaptation to regulations such as the AI Act.
Participants of the business breakfast had the opportunity to learn about the experiences and forecasts of leaders in the insurance sector. Speakers shared both their strategic vision for the development of AI and data, as well as specific examples of implementations, showing how technologies can support organizational efficiency.
During the event, we had the opportunity to listen to the following presentations:
- Paweł Juszkiewicz (Sales Manager at Britenet) – Conclusions from 2025; trends for 2026; forecasts for 2030.
- Piotr Wegner (Director of Solution & Bid Management at Britenet) – From AI readiness to intelligent automated decisions: why structured data is a must-have in 2026.
- Damian Jagusz (Head of DOR & ICT Compliance at ERGO Hestia) – Regulations – a catalyst for security or a nightmare for innovation? Practical lessons from AI development on the eve of AGI.
- Marcin Grabowski (member of Beesafe and Deputy IT Director at Compensa) – AI in insurance after the AI Act: from innovation to compliance – practical lessons from the implementation of Beesafe solutions in the VIG group.
- Mirosław Deja (Managing Director of the IT Division at UNIQA) – Increasing organizational efficiency through the use of modern AI-based technologies – how UNIQA is introducing AI into its daily work.
- Bartłomiej Gołębiowski (Innovation Manager at PZU) and Marcin Kurczab (Director of Innovation and AI at the PZU Group) – AI at PZU – conclusions and experiences.
Key takeaways from the event – learn about the direction in which the insurance industry is heading
The growing importance of data, AI, and regulations in the insurance sector poses new challenges for organizations, but at the same time, opens up opportunities for growth. Learn about the main observations from the presentations and discussions – find out how to prepare your company for 2026 and how to effectively use technology in your daily work.
Implementing and utilizing AI is a process, not a one-time project
One of the conclusions emphasized during the meeting was the need to change the perception of AI implementation in the organization. It should not be treated as a quick, time-bound project, but as a continuous transformation of the company. The visible benefits of AI can be achieved by investing simultaneously in data quality, team competencies, and processes. Otherwise, AI will be nothing more than a very expensive but not very useful curiosity.
Data is the foundation of automation and accurate decisions
The discussion about data clearly showed that the market operates at “two speeds” – on the one hand, there are areas with high-quality data, and on the other, there are processes that are not ready for automation. Without structured data, AI will not work reliably, and the costs of its use will grow faster than the benefits.
Particular attention was paid to the concept of the customer's Golden Record as an element of architecture that requires constant maintenance, data quality monitoring tools, and, equally important, close cooperation between IT and business.
Regulations provide an impetus for building technological maturity
An important point in the discussion on the safe development and use of AI is treating regulations such as the AI Act and DORA as an opportunity to streamline the way we work with technology. It is a mistake to view them solely as obstacles. The speakers agreed that excessive documentation does not necessarily mean greater security, and that a better solution is a consistent AI quality management system – tailored to the level of risk and embedded in the daily work of teams.
Companies that take a pragmatic approach to regulation can gain greater operational stability, better control over technology, and customer trust. However, this requires the support of an experienced and trusted partner who understands both the technology and the regulatory context of the sector.
Technology only advances business when it works together with people
Organizational culture was an important topic of discussion among the experts. The best results can be achieved through short experimentation cycles and clear selection of initiatives. Technology projects, like business projects, should be conducted responsibly, with metrics and a willingness to make adjustments.
This is complemented by educational programs that build digital and regulatory competencies throughout the organization. They determine whether investments in technology will translate into efficiency, security, and growth. It is also important to maintain the human in the loop element – human contact remains significant, as customers are not yet fully ready to automate the entire process, especially in such an important area as finance and insurance.
Conclusion
Discussions during the “Insurance 2026+” business breakfast showed that the implementation of AI in the insurance industry is a long-term process that requires high-quality data, competent teams, and an appropriate organizational culture. New technologies will bring measurable benefits when they are embedded in everyday work and their operation is supported by appropriately prepared processes. Regulations such as the AI Act and DORA should be treated as an opportunity to organize work with technology and build organizational maturity. Companies that approach them pragmatically will gain stability, control over AI, and customer trust, and investments in artificial intelligence will translate into efficiency, security, and innovation.
