In the contemporary commercial landscape, CRM systems like Salesforce and HubSpot are vital for managing customer relationships, but keeping them updated with the massive influx of daily customer data presents challenges. AI-powered audio transcription, or speech-to-text technology, enhances CRM systems by converting spoken interactions into text, allowing for real-time data integration that supports informed decision-making. This transcription process, enhanced by advanced features like speaker diarization and word-level timestamps, provides detailed insights into customer interactions, facilitating better sales strategies and customer support. While accuracy is crucial for effective CRM enrichment, traditional speech recognition systems face difficulties with accents, background noise, and overlapping conversations, though advanced models like Whisper ASR are improving. Essential features for audio transcription APIs in CRM systems include speaker diarization, transcription hints, custom vocabulary, and multilingual support, which together enhance data accuracy and usability. Companies like Gladia and Lettria are developing solutions to address these challenges, with Gladia offering proprietary diarization and multilingual capabilities, and Lettria providing AI-driven CRM enrichment tools that integrate seamlessly with Gladia's transcription outputs.