Genesys Cloud's intent miner is a comprehensive tool designed to extract and analyze user intents from historical chat and voice transcripts within specified date ranges. The system identifies user goals or tasks—such as tracking packages or booking services—and maps utterances (varied phrases expressing the same intent) to each identified intent, enabling developers to build conversational AI bots that understand user objectives through natural language processing. Mined intents can be imported into Architect flows for intent configuration in Genesys Dialog Engine Bot Flows or Genesys Digital Bot Flows. The intent miner requires specific permissions including access to Dialog Engine Bot Flows, Speech and Text Analytics data viewing, Language Understanding miner and draft capabilities, and Queue viewing. Operational constraints include a maximum of five concurrent mining sessions per organization, storage capacity for up to 100 saved sessions, and a minimum requirement of 50 conversations per mining session. The system supports intent mining from internal agents, external customers, or both, with configurable parameters including media type (chat, call, or message), language selection across ten supported dialects (en-US, en-AU, en-GB, en-IN, en-ZA, es-ES, es-US, fr-FR, fr-CA, and de-DE), and conversation source from either Genesys Cloud queues or external JSON files. Users can manage mining sessions through deletion, rerunning failed sessions, and duplication actions, with mining sessions including date range filtering and tracking of when miners were last updated or draft intents were edited. The interface provides status indicators for errors during conversation fetching, intent mining, utterance masking, or analytics computation, and displays warnings when interaction counts fall outside the 100 to 30,000 range. Completed mining sessions display the miner name in bold, while in-progress sessions show a progress spinner with hover-accessible state information. Users can manage mining sessions by clicking row action menus or by clicking miner rows to open and edit sessions. The mining functionality supports the intent-utterance framework, where intents represent user goals or tasks and utterances are the varied phrases users employ to express those intents, forming the foundation for bot dialog model design and enabling systems to recognize user intent across multiple linguistic variations.