Build no-code agentic AI workflows for business automation and collaboration through n8n, applied throughout to health insurance scenarios such as member service, claims, and prior authorization. Agentic AI foundations cover what agentic AI is, how it differs from other AI techniques, and the collaboration and automation use cases that show up in a health plan. The components of an AI agent cover foundation models, model selection, working and episodic memory, and the OODA decision pattern. Tool use and MCP servers cover observation versus action tools, direct and indirect tool-use methods, and integrating MCP servers for shared capabilities. Building agentic applications, designing collaborative agents, and the ethics and security of agentic AI cover task decomposition, multi-agent systems, automation versus human collaboration, fairness, transparency, accountability, security threats, and excessive-agency risks. Hands-on labs on the n8n platform produce working health insurance agents, human-in-the-loop workflows, and an excessive-agency risk audit. The course is designed for business users learning to apply agentic AI at a health insurance organization.consistently through-out your organization.