ITNeuroNet
Echo Speech Analytics

Production AI speech analytics platform with CRM and telephony integrations

Echo Speech Analytics connects telephony, transcription, LLM-based analysis, CRM enrichment, reporting, and publication of results back into business workflows.

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Why it mattered

The system had to process calls reliably, enrich them with CRM context, analyze them through configurable methodologies, and support operational reporting.

What ITNeuroNet did

The architecture used a SaaS-ready modular monolith with Clean Architecture patterns, asynchronous processing, provider integrations, and a path toward selective microservice extraction.

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 proves

Applied AI system design, asynchronous processing, speech analytics pipelines, CRM integration, analytics workflows, and a SaaS-ready architecture path.

The project demonstrates how an AI analytics workflow can be designed as a production system with real integrations, operational processing, test coverage, documentation, and a practical architecture evolution path.

Relevance to future clients

Useful for teams that need AI to work inside real business operations, not only 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 giving stable boundaries to providers
  • 03Modular monolith with clear seams for selective extraction
Related trendAgentic workflow architecture
Relevant services

Engagements where this case applies

Public safety note

Sensitive implementation details are omitted from the public version. Deeper technical breakdowns may be discussed during discovery where appropriate.

Next step

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