Key Business Impact

Automated actionable insights from call transcripts; enabled production-scale analytics for sales teams.

Project Overview

NL analytics platform for sales call transcripts with graph database and retrieval-augmented generation pipeline.

Technical System Architecture

Operational data flow and system architecture designed for this solution:

input

Call Transcript

database

Graph DB Parsing

ai

Bedrock AI Analytics

output

Insight Output

Case Study & Delivery

Built end-to-end NL analytics connecting call transcripts to graph-based reasoning and Bedrock agent workflows.

Consulting Assessment & Strategy

As an AI consultant, the primary focus for this project was to establish a production-grade infrastructure that balances LLM performance, response latency, and system cost. This was achieved by introducing specific design patterns:

  • Agentic Orchestration: Decoupling tasks into dedicated specialized agents to reduce complexity and improve reasoning accuracy.
  • Custom Model Routing: Routing simple tasks to lightweight tier-2 models (e.g. AWS Nova Flash / Sonic) and reserving heavy reasoning for flagship models.
  • Security & Compliance Guardrails: Integrating strict input/output verification steps to prevent PII exposure and prompt injections.