A realistic first AI agent project for data teams is to develop a specialized data assistant. This agent could automate the generation of SQL queries or Python scripts for routine data extraction and analytical tasks, interpreting natural language requests from users. By leveraging existing internal documentation, database schemas, and common query patterns, it significantly reduces manual effort for data analysts. Furthermore, it empowers business users with more independent access to insights, fostering a data-driven culture. The project's initial scope can be kept manageable, focusing on a specific dataset or business domain to ensure quick wins. This approach allows data teams to gain practical experience with agentic design, tool integration, and prompt engineering, building foundational AI agent capabilities while delivering immediate, tangible value.