We developed an AI system for automatic processing of audio recordings of sales managers' conversations with clients, which significantly reduced the time required for quality control of communication
- Task Create a solution to reduce the amount of time managers spend monitoring and analyzing calls between sales representatives and clients.
- Problem The company faced the need to regularly monitor the quality of communication between managers and clients. Manual processing of audio recordings took management 25-35 minutes per call, which critically limited the ability to conduct full-scale monitoring. Due to time constraints, only a small portion of the conversations was reviewed, which made it impossible to obtain an objective picture of the team's performance and promptly identify problem areas.
- Solution Implementation of a comprehensive AI automation system incorporating modern speech recognition algorithms and intelligent text analysis. The system automatically converts audio recordings into text transcripts and performs a detailed analysis of their compliance with corporate communication standards.
Technical implementation
Stage 1: Automatic transcription
- Processing audio files of any size and duration
- High-quality recognition of Russian speech
- Automatic separation of dialogue participants' lines
- Exporting results in a convenient text format
Stage 2: Intelligent analysis
- Automatic evaluation of the manager's communication quality
- Identification of key moments in client interaction
- Analysis of compliance with corporate standards and scripts
- Generating personalized recommendations for performance improvement
What results did we achieve
- Processing speed increased 15-20 times. The time required to analyze one call was reduced from 30-45 minutes to 2-3 minutes.
- Ability to analyze 100% of calls. Full coverage instead of selective checking of individual recordings.
- Freed up management resources. Managers were able to focus on strategic team development tasks.
- Objective evaluation. Elimination of the human factor and subjectivity in the analysis process.
- Rapid issue identification. Automatic detection of problem areas in team performance and timely implementation of corrective measures.