A well-designed generative AI system can help organizations automate content creation, summarize information, support employees, answer customer questions, and accelerate knowledge-based workflows. However, successful deployment requires more than connecting a business to a large language model. Organizations should consider data quality, model selection, security, hallucination management, access controls, monitoring, and governance. Building these elements into the system can help businesses achieve useful AI outcomes while maintaining greater control over performance and risk.