At FIAR this year, one message came through clearly: the future of insurance will not be defined by technology alone.
Across the roundtable discussion on conduct, innovation, trust, and the new insurance market architecture, senior market leaders from Groupama, OMNIASIG VIG, PADROM, Allianz-Tiriac, Generali, ASIROM VIG, NN , UNSAR, and FintechOS returned to a set of connected themes: customers need clearer products, more transparent claims processes, and greater confidence that insurers are acting in their interest.
Technology was present throughout the conversation, as expected. AI, automation, embedded insurance, data, digital assistants, and process modernization all surfaced as forces reshaping the industry.
But the more important question was not whether insurers should use these technologies. It was whether they can make innovation trusted, governed, and scalable across the business.
For insurers, this is becoming the real modernization challenge. The next stage of transformation will not be defined by more digital journeys or isolated AI pilots, but by the ability to connect product design, underwriting, claims, distribution, governance, data, and customer communication into a more coherent operating model.
Trust is becoming an operating model question
The discussion opened with a practical view of trust: claims remain the “moment of truth” in insurance. Customers often discover whether they made the right decision only when something goes wrong and they need their insurer to respond quickly, clearly, and fairly.
That point matters because it moves trust away from the abstract. Trust is not only a brand promise. It is experienced operationally: through speed of response, clarity of communication, accuracy of decisions, and the insurer’s ability to guide the customer through moments of uncertainty.
Several speakers approached this from different angles: product governance, clearer policy language, broker and agent conduct, claims communication, and customer education. Together, they pointed to the same challenge: customers need to understand what they are buying, what is covered, what is not covered, and what happens when they need support.
This is where insurance modernization becomes more complex than it first appears. A modern front end can improve access. A chatbot can support first-line interactions. A digital flow can reduce friction. But if product logic remains difficult to change, underwriting rules are disconnected from distribution, claims processes are fragmented, or governance sits outside the operating flow, then the customer experience will still be constrained by the underlying model.
For board and executive teams, the implication is clear: trust cannot be solved only at the customer interface. It needs to be designed into the way the insurer operates.
Speed and trust are not opposing forces
During the roundtable discussion, Lidia Cirstei, SVP Customer Success & Operations at FintechOS, challenged the familiar idea that insurers must constantly balance speed against trust.
Her point was that the two are not opposites. In mature operating models, trust is what makes speed sustainable.
Institutions that move quickly are not necessarily those that take shortcuts. They are often the ones that embed governance, control, auditability, and accountability into their operating model from the beginning.
This is especially important as insurers explore AI. Automating underwriting, claims, servicing, or product recommendations is not just a technology exercise. It requires clean and relevant data, traceability, explainability, rules that can be understood by regulators and customers, and clear points of human oversight.
As Lidia put it during the discussion: “Governance is not a tax on innovation.”
That line captures one of the most important takeaways from FIAR 2026. The question is no longer whether governance slows innovation down. The question is whether insurers can design governance in a way that allows innovation to happen safely, consistently, and at enterprise scale.
AI needs to move from experimentation to controlled execution
AI was a recurring theme throughout the panel, but the discussion avoided the usual hype. The more serious concern was how AI should be applied in a sector where decisions affect people’s protection, financial resilience, and trust in the institution.
In insurance, AI use cases are compelling: underwriting support, claims triage, document processing, customer servicing, risk analysis, fraud detection, and product personalization. But each of these areas involves decisions that must be explainable and governed.
This is where many organizations risk getting stuck. AI pilots can be launched relatively quickly. Production impact is harder.
To move from experimentation to execution, insurers need more than models. They need a controlled environment where AI agents, rules, workflows, product definitions, data, and human approvals operate together.
This is where FintechOS sees a major shift in the market. The opportunity is not simply to add AI tools around the insurance value chain. It is to make AI part of the way insurance work gets done: connected to product logic, underwriting flows, customer journeys, decisioning, documentation, compliance controls, and human oversight.
AI can accelerate a process, but governed AI can help insurers change the process safely.
The new insurance architecture is not just digital. It is connected
Another strong theme from the roundtable was the need for simplification.
Insurers are under pressure to simplify products, explanations, customer journeys, and internal processes. At the same time, the market is becoming more complex: embedded insurance models are growing, ecosystem partnerships are expanding, customer expectations are rising, and regulatory demands remain high.
This creates a structural challenge. Insurers need to become easier to understand from the outside, while becoming more sophisticated on the inside. That is difficult to achieve with disconnected systems and fragmented operating models.
For example, if a product change requires manual updates across documents, workflows, underwriting rules, pricing logic, channel journeys, and compliance checks, then the insurer’s ability to respond to market needs will remain limited.
If AI is deployed separately from core product and process governance, then scale becomes risky. If customer-facing teams do not have access to clear product logic and guided workflows, then conduct and advice quality become harder to control.
The next insurance architecture therefore needs to make change easier. It needs to give insurers the ability to configure products, orchestrate workflows, manage decision logic, integrate data, and apply governance across the full product and customer lifecycle. The type of capability FintechOS supports through its Intelligent Policy Admin System.
What insurers should protect as ecosystems open up
The roundtable also touched on embedded insurance and the evolution of distribution. For executive teams, this matters because open ecosystems can create growth, but they can also dilute strategic control if insurers are not careful.
As insurance becomes more embedded, more partner-led, and more digitally distributed, insurers need to be clear about what must remain under their control: product logic, pricing, underwriting, decisioning, claims rules, customer understanding, and governance.
These are not back-office details. They are strategic capabilities.
If insurers lose control of how products are defined, adapted, distributed, and governed, they risk becoming balance-sheet providers in someone else’s customer relationship. But if they can expose insurance capabilities into ecosystems while retaining control over product and decisioning logic, embedded insurance becomes a growth opportunity rather than a strategic threat.
The board-level question is this: how can insurers participate in more open ecosystems without losing control over the capabilities that define their differentiation?
The answer will depend less on individual channels and more on the capabilities insurers are able to own, govern, and scale across those channels.
From modernization projects to repeatable innovation
What FIAR 2026 made clear is that the Romanian insurance market is not lacking ambition. Leaders understand the need for clearer products, better customer education, faster claims, more effective distribution, and responsible use of technology.
The harder question is how to make these improvements repeatable.
A better claims flow, a new AI pilot, a simplified product document, or a new distribution journey can each create value. But the larger opportunity is to connect these improvements into an operating model that can evolve across products, channels, and business lines.
For executive teams, the modernization agenda is shifting from:
What should we digitize next?
To
What will help us innovate faster, govern better, and earn trust consistently?
That is where the next competitive advantage in insurance will be built: not in technology for its own sake, but in the ability to make innovation trusted, controlled, and scalable.
Ready to modernize insurance operations without disrupting your core?
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