At Norlix, we are building a digital insurance and pension brokerage from the ground up. The industry is still heavily characterized by manual workflows, legacy systems, and advisory services that are typically activated only during scheduled reviews or when the client reaches out themselves. This creates friction and means that coverage and risk do not always evolve in step with the company. We are designing a different model. We combine integrations, structured data, and continuous analysis to make advisory services proactive rather than reactive. In practice, we focus on: - Automated and continuous data collection - Ongoing assessment of risk and coverage - Systematic monitoring of the market - Data-driven optimization instead of periodic reviews The ambition is simple: To make advisory services more precise, more transparent, and less dependent on manual processes. We are still in the build phase. This means the systems and processes we are developing now must be able to scale.