Case Study — Internal Demonstration
AI-Powered Customer Service, Built as an Internal Demonstration.
An internal proof of concept for an AI call-centre agent that answers customer enquiries, resolves routine requests and hands complex cases to people.
Highlights
- Conversation channels
- Voice + Text
- Conversation channels
- Conversation design
- Multilingual
- Conversation design
- With full context
- Human hand-off
- With full context
Internal demo · Proof of conceptRetail & Customer ServiceAI & Automation
This is an internal demonstration built by Rumbling Tech to show how the solution works. It is not a client deployment, and no commercial results are claimed.
The challenge
Customer-service teams handle a high volume of repetitive calls and messages. Waiting times grow at peak hours and agents spend much of their day on routine questions instead of complex cases.
The solution
We built a demonstration of a multilingual AI agent that handles first-line enquiries by voice and text, looks up context from connected systems and escalates to a human agent with a full summary.
Technical implementation
How it was built.
- 01Speech-to-text and text-to-speech pipeline for natural voice conversations
- 02LLM-based dialogue grounded in a curated knowledge base
- 03Integration layer for CRM and order-lookup systems
- 04Escalation flow that passes a conversation summary to a human agent
Technology stack
- Voice AI
- LLMs
- Python
- CRM integration
Demonstration
Walkthrough available on request.
Measured outcomes are published only once verified.
Let’s Build What’s Next.
Tell us about the challenge. We’ll come back with a clear, practical next step.
