Training AI agents for a business involves adapting an AI system to specific workflows, data, rules, and objectives. Businesses can use techniques such as prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and human feedback to make agents more useful for their operations. A properly configured AI agent can work with company data, follow business guidelines, handle specialized tasks, and provide more relevant results than a general-purpose chatbot.
