The use of artificial intelligence in the insurance industry is no longer a topic for the future. However, while many solutions are primarily aimed at expanding databases, another, more crucial question is increasingly arising: how can concrete, better decisions be derived from existing information? This is precisely where the Swiss company Namilytics comes in with its approach.
With the “Briefr” platform, Namilytics is deliberately pursuing a different strategy to traditional data providers. The focus is not on enriching information about SMEs, but on supporting insurance brokers in the crucial moments of their day-to-day work. This applies in particular to situations such as contract renewals, portfolio analyses or the prioritization of customer relationships.
The central thesis behind this: There is sufficient data available on the market. The bottleneck is not access to information, but its classification and the derivation of concrete action steps. It is precisely at this interface between information and decision-making that “Briefr.” is positioned.
Relevance at the right moment
Operational added value is particularly evident when changes occur at an SME, for example due to growth, personnel adjustments or strategic realignment. Such developments often have a direct impact on insurance requirements, but can easily go unnoticed in the hectic day-to-day life of a broker.
This is where Namilytics’ technology comes in: It identifies relevant changes, evaluates them from an actuarial perspective and translates them into specific recommendations. Brokers not only receive information on what has changed, but also why this is relevant, what questions arise from this and what the next step should be.
Less tool, more decision-making logic
This approach marks a paradigm shift. Instead of establishing another tool that generates additional data, Briefr sees itself as a decision support system. The aim is to reduce complexity and improve the quality of customer interactions.
Especially in the SME segment, which is characterized by heterogeneous needs and dynamic developments, this focus can make a decisive difference. Brokers are particularly challenged here to recognize changes early on and act proactively. A structured, AI-supported decision-making logic can help to meet precisely these requirements more efficiently.
A first building block with a broader perspective
Briefr is deliberately just the beginning for Namilytics. The company is pursuing the goal of supporting the Swiss broker market with solutions that are not generic but tailored to specific use cases. The focus is clearly on the question of where brokers can achieve the greatest added value through technological support.
Namilytics thus addresses a key challenge facing the industry: the meaningful use of AI beyond buzzwords and isolated applications. The real leverage lies not in the technology itself, but in its ability to improve decisions and generate real competitive advantages.
AI as a differentiating factor
This opens up a strategic perspective for Swiss brokers. Those who use AI not only as a source of information, but also as a tool to support decision-making, can clearly differentiate themselves in the market. The added value does not come from more knowledge alone, but from better discussions, more precise recommendations and ultimately more relevant customer relationships.
Namilytics’ approach is an example of where developments could be heading: away from data accumulation and towards an intelligent consolidation of information into concrete, actionable next steps. This could determine the role brokers will play in the digital ecosystem of the future.
Binci Heeb
Read also: Swiss InsurTech noimos: Courage to implement – not just good ideas
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