Underwriters can reliably process five to seven variables. Algorithms can process thousands. In this episode of Scouting for Growth, Sabine VanderLinden speaks with David King, Co-Founder of Artificial Labs, about how algorithmic underwriting is redefining insurance performance — without replacing human judgment. Artificial’s mission is straightforward but powerful: facilitate algorithmic underwriting by structuring data, defining decision pipelines, and codifying underwriting appetite into executable logic. Insurance has always depended on two things: data and relationships. Technology does not eliminate either. Instead, it strengthens decision-making by removing friction and increasing accuracy. When underwriters are forced to manually evaluate increasing numbers of variables, accuracy declines. Well-structured models and algorithms support better, faster, more consistent commercial decisions. But models are not magic. They are only as strong as the data and operational systems surrounding them. Artificial’s “secret sauce” lies in its domain-specific programming language — enabling underwriters to translate risk appetite into codified logic, integrate diverse data sources, and execute decisions across ecosystems. The future underwriting team will look different. More data will be available — that’s inevitable. Operational efficiency pressures will intensify. Underwriters will increasingly collaborate with portfolio managers, analytics experts, and commercially minded technologists. Not every underwriter needs to be a data scientist — but multi-disciplinary literacy will become essential. David also draws lessons from elite sport. Competition, teamwork, and performance culture matter. Individual brilliance rarely wins championships alone. The same applies to underwriting ecosystems. You cannot build everything in-house. Playing well within digital ecosystems — integrating external services and data providers — drives efficiency and better customer outcomes. Technology, he emphasizes, will not “take over.” Strategy will remain human-led. Data-informed leadership will define underwriting frameworks. Automation will execute at scale. This episode is essential listening for: Chief Underwriting Officers modernizing decision frameworks InsurTech leaders building ecosystem-native platforms Insurance executives balancing automation and human expertise Investors evaluating infrastructure-led underwriting solutions Because underwriting is not becoming less human. It is becoming more informed, more collaborative, and more precise. And in a market where margins tighten and competition increases, algorithmic intelligence may be the difference between surviving — and leading.