AI Speech Analytics System for Call Recording Analysis

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Speech Analytics System for Call Recording Analysis
Complex
~2-4 weeks
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Development of AI Speech Analytics for Call Recording Analysis

Speech Analytics processes 100% of call recordings, extracting: topics, sentiment, keywords, behavior patterns, compliance violations. Replaces selective manual audit with full automatic coverage.

Architecture

Recording → STT → NLP Pipeline → Feature Extraction → Storage → Analytics

NLP Pipeline

Extracts:

  • Topics: auto-detects main themes
  • Entities: names, amounts, dates, products
  • Sentiment timeline: sentiment by segments
  • Compliance: required/forbidden phrases
  • Script adherence: % phrases from script

Compliance Monitoring

Checks for:

  • Required phrases: greeting, verification, farewell
  • Forbidden phrases: unprofessional language
  • Privacy/security terms (GDPR, consent)

Topic Modeling

Uses LLM to classify calls by topic: billing, delivery, returns, complaint, consultation, etc.

Timeline: basic Speech Analytics with 5 analyzers — 6–8 weeks. Full platform with dashboard — 3–4 months.