The translation of complex policies into practical network configuration actions is often conducted by human operators, resulting in errors that affect network performance. In Open RAN networks, this challenge becomes even more relevant, considering the objective of intelligent configuration automation. This paper proposes an intent-based management system, which receives commands in natural language through a chatbot and converts them into network policies. Proposal evaluation is conducted on a software-defined network emulation on Mininet, controlled by ONOS. The system prototype integrates Rasa chatbot with ONOS controller, allowing the configuration of network flows to be derived from natural language instructions. The results indicate that the system fulfills intents in constant time, up to 100 ms, even with an increasing load of flows in the network switches.