Enterprise teams should choose between RAG, fine-tuning, and re-training based on what needs to change in the AI system. RAG improves access to current enterprise knowledge, fine-tuning improves response consistency, and re-training improves deeper domain capability. The right approach starts with identifying whether the problem is knowledge, behavior, or capability.