AI Customer Support Agent for a Growing Business

The Challenge

Questions arrived via web, email and phone; team repeated answers; escalation was informal.

Our Solution

RAG agent with tool-calling, confidence threshold and human escalation, logging to CRM.

Implementation

Architecture: Message → LLM → Vector retrieval → tools → human approval → CRM → analytics. Features: Grounded answers, Qualification, Escalation, History, Analytics. Workflow: Question → retrieval → answer/escalate → CRM log → review. Technology: LLM APIs, Vector Search, Next.js, Node.js

Business Requirements

• FAQ handling
• Knowledge retrieval
• Qualification
• Escalation
• History & analytics

Architecture

Message → LLM → Vector retrieval → tools → human approval → CRM → analytics

Features

Workflow

Question → retrieval → answer/escalate → CRM log → review

Illustrative Benefits

Illustrative outcome: reduced repetitive workload and improved consistency.

The Results

Technologies Used