The implementation of an automated report-generation agent leverages agentic flows with large language models (LLMs) to generate detailed reports about specific industries in a given location. A suite of three agents works together, each specializing in data research, news analysis, and report writing. The agents are defined using crewAI, which enables minimal prompt engineering due to its platform handling the rest. The system uses Neo4j as the knowledge graph-based tool for retrieving relevant information from the database. The code is available on GitHub.