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Solution PlaysPlay 04: Play 04 β€” Call Center Voice AI πŸ“ž

Play 04 β€” Call Center Voice AI πŸ“ž

Voice-enabled customer service with real-time STT→LLM→TTS streaming.

Build a phone-answering AI agent. Azure Communication Services handles the call, Speech Service converts audio to text, GPT-4o processes intent and generates a response, then TTS speaks it back β€” all streaming in real time.

Quick Start

cd solution-plays/04-call-center-voice-ai az deployment group create -g $RG -f infra/main.bicep -p infra/parameters.json code . # Use @builder for voice pipeline, @reviewer for latency audit, @tuner for cost

Key Metrics

  • Intent accuracy: β‰₯95% Β· Response latency: <2s Β· Resolution rate: β‰₯70%

DevKit

PrimitiveWhat It Does
3 agentsBuilder (STT/TTS pipelines), Reviewer (latency/compliance), Tuner (response time/cost)
3 skillsDeploy (107 lines), Evaluate (102 lines), Tune (114 lines)

Architecture

πŸ“ Full architecture details β€” data flow, security architecture, scaling guide

Cost Estimate

ServiceDev/PoCProductionEnterprise
Communication Services$15 (PAYG)$150 (PAYG)$600 (PAYG)
Azure AI Speech$0 (Free)$120 (Standard)$450 (Custom Neural Voice)
Azure OpenAI$30 (PAYG)$200 (PAYG)$800 (PTU Reserved)
Container Apps$10 (Consumption)$100 (Dedicated)$300 (Dedicated HA)
Blob Storage$2 (Hot LRS)$20 (Hot LRS)$80 (Hot GRS)
Key Vault$1 (Standard)$3 (Standard)$10 (Premium HSM)
Application Insights$0 (Free)$30 (Pay-per-GB)$100 (Pay-per-GB)
Total$58/mo$623/mo$2,340/mo

πŸ’° Full cost breakdown β€” per-service SKUs, usage assumptions, optimization tips

πŸ“– Full docs Β· 🌐 frootai.dev/solution-plays/04-call-center-voice-aiΒ 

FAI Manifest

FieldValue
Play04-call-center-voice-ai
Version1.0.0
KnowledgeF1-GenAI-Foundations, R2-RAG-Architecture
WAF Pillarssecurity, reliability, cost-optimization, responsible-ai
Groundednessβ‰₯ 85%
Safety0 violations max
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