Architecture modernisation for agent integration, data foundations, and security. Architecture modernisation for agent integration, data foundations, and security. 2026 insurance outlook on foundations for scaling AI. Includes controls, pitfalls, and a phased implementation path. Architecture modernisation for agent integration, data foundations, and security. Why this matters Teams are under pressure to deliver AI capability quickly, but speed without control creates operational and governance risk. This guide focuses on practical execution patterns that hold up in production. Prerequisites Clear ownership for delivery and risk decisions. Baseline observability for model and tool behaviour. Defined quality and security acceptance criteria. Practical approach Define the business decision this capability supports. Limit the first release scope to one workflow and one owner. Add measurable controls for quality, latency, and failure handling. Roll out with expl...
Practical AI engineering guidance on agents, MCP, frameworks, security, ethics, and AI in insurance — implementation-first, production-ready.