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Case study · Customer Support & E-commerce

Voice AI Customer-Support Agent

A conversational voice agent that answers inbound calls, resolves FAQ and order-status questions in natural speech, and hands off to a live agent as soon as a request is out of scope.

Client
Customer-support operation
Project
Voice Support Agent
Status
Delivered
Inbound voice channel
Calls
Self-service coverage
FAQ + orders
Escalation path
Live handoff

The challenge

Support teams were spending most of their phone time on the same repetitive questions, such as policies and order status.

Meanwhile, customers with issues that genuinely needed a person were left waiting on hold.

System architecture5 stages
  1. 01

    CallInbound phone call

  2. 02

    ListenSpeech-to-text

  3. 03

    UnderstandLLM intent detection

  4. 04

    ActFAQ answers, order lookup

  5. 05

    EscalateLive-agent handoff

Architecture · 5 stages

  1. 01

    Call

    Inbound phone call

  2. 02

    Listen

    Speech-to-text

  3. 03

    Understand

    LLM intent detection

  4. 04

    Act

    FAQ answers, order lookup

  5. 05

    Escalate

    Live-agent handoff

The solution

I built a voice agent that transcribes callers, understands intent, answers FAQs from the business's own content and looks up order status.

Whenever a request is out of scope, it escalates the call to a live agent.

Engineering highlights

  • Natural-language phone conversations
  • FAQ resolution from business content
  • Order-status lookup
  • Rule-based escalation to live agents

Technology

  • Voice AI
  • Speech-to-text
  • LLM
  • Order lookup API
  • Escalation routing

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