— AI STACK RECOMMENDATION

AI-Powered Call Center Stack

Build an intelligent call center with real-time speech processing, agent assistance, and conversation analytics. Combines speech-to-text, LLM reasoning, text-to-speech, and monitoring for production-grade voice agents.

Stays alive for 365 days after the last visit.

AI-Powered Call Center Stack

high confidence

Core Stack ℹ︎

ElevenLabs

Primary

Ultra-low latency (75ms) text-to-speech with 70+ languages and voice cloning for natural agent responses in real-time call scenarios.

$99/month

Deepgram

Primary

Real-time speech-to-text with speaker diarization and voice AI features, essential for transcribing and understanding caller intent.

$89/month

Claude Sonnet 4

Primary

Fast, capable LLM for real-time conversation understanding, call routing decisions, and generating contextual agent responses with low hallucination.

$50-150/month

Complete the Stack ℹ︎

AgentOps

Alternative

Session replay and cost tracking for monitoring AI agent call quality, latency, and LLM token usage across call center operations.

$0-500/month

Arcade AI

Alternative

Managed tool-calling platform enabling agents to securely access CRM, ticketing, and knowledge base APIs during calls with built-in OAuth.

$0-200/month

Getting started

1Set up Deepgram for real-time speech-to-text ingestion from call streams.
2Configure Claude Sonnet as the conversation reasoning engine, fed transcripts and call context.
3Integrate ElevenLabs for agent text-to-speech responses with low latency.
4Connect Arcade AI to CRM/ticketing systems for agent tool access during calls.
5Deploy AgentOps for monitoring call quality, agent performance, and cost tracking.
6Build a call routing layer that uses Claude to classify intent and route to appropriate agent or self-service flow.

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