Agentic AI Voicemail Automation Platform

Engineered an LLM-powered multi-agent framework to parse telecom call-flow PDFs, normalize logic, and generate executable automation artifacts. Leveraged LangChain, Ollama, and RAG to minimize manual effort.

LangChainOllamaRAGLLMMulti-Agent

Overview

Built a sophisticated multi-agent system using LangChain that automatically processes telecom call-flow PDFs, extracts business logic, and generates executable automation code. The platform reduces manual transformation effort by 80% and enables rapid deployment of voice automation features.

Key Outcomes

  • ✓Automated parsing of complex telecom call-flow PDFs
  • ✓Generated executable automation artifacts from business logic
  • ✓Integrated RAG for contextual understanding of call flows
  • ✓Minimized manual intervention in code generation

Technology Stack

LangChainOllamaRAGLLMMulti-AgentPDF ProcessingPython

Impact

Business Impact

Reduced manual PDF-to-code transformation time by 80%

Adoption Rate

100% adoption across telecom automation projects

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