ITNeuroNet
Echo Speech Analytics

Production AI speech analytics platform with CRM and telephony integrations

Echo Speech Analytics is an AI platform that analyzes customer calls automatically. It connects telephony, transcription, LLM-based analysis, CRM enrichment, reporting, and the return of results into business workflows.

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Why it mattered

The system needed to go beyond basic transcription. It had to process calls reliably, enrich them with CRM context, analyze them using configurable methods, and support operational reporting.

What ITNeuroNet did

The system was designed as a modular monolith ready for SaaS use, with Clean Architecture patterns, asynchronous processing, provider integrations, and the option to extract selected microservices later if needed.

Architecture / delivery pattern

The patterns that shaped this system

  • 01

    SaaS-ready modular monolith

  • 02

    Clean Architecture

  • 03

    Asynchronous 11-stage call-processing pipeline

  • 04

    Provider integrations (telephony, STT, LLM, CRM)

Public scale signals

What the system looks like from the outside

  • 1,800+ project files
  • 732 backend Python files
  • 323 frontend files
  • 471 test files
  • 120 documentation files
  • 273 production API endpoints
  • 505 OpenAPI paths
  • 9 Docker/runtime services
  • 11-stage call-processing pipeline
What it demonstrates

This project demonstrates AI system design for real use: asynchronous processing, speech analytics pipelines, CRM integration, reporting workflows, and a path toward a SaaS architecture.

The project shows how an AI analytics workflow can be built as a real production system with live integrations, operational processing, tests, documentation, and a practical path for architecture changes over time.

Relevance to future clients

Useful if you need AI to work inside everyday business operations, not just as a standalone demo or chatbot.

What this made faster
  • 01Iteration on the 11-stage call-processing pipeline
  • 02Adding new provider integrations under the same contract surface
Quality / safety controls
  • 01471 test files alongside production code
  • 02505 OpenAPI paths providing stable boundaries for providers
  • 03Modular monolith with clear seams for selective extraction
Related trendAgent-based workflow architecture
Relevant services

Engagements where this case applies

Public safety note

Sensitive implementation details are omitted from the public version. More detailed technical discussions may be possible during discovery where appropriate.

Next step

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