AI has made building a core insurance system faster and more accessible. But a working prototype is only the beginning. What happens when your team takes on the long-term costs of maintaining, integrating, and supporting it? From ongoing integrations and regulatory compliance to key-person dependencies and AI-related risks, the true cost of building often extends well beyond the initial investment. This guide examines the often-overlooked costs of building a core insurance system, the challenges of AI-assisted development, and how insurers can make more informed build-vs-buy decisions. What you’ll learn: The 14 recurring costs that can change the build-vs-buy equation. Why AI-assisted development introduces new risks and expertise gaps. Where custom development adds value, and where a proven platform makes more sense. Three questions to ask before committing to an internal build.