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Enterprise Voice AI

Production voice systems on Twilio + ElevenLabs + Whisper — latency, compliance, and the architecture that survives a real call volume.

enterprise voice AI deploymentVoice product teams, contact center engineering, AI ops
Articles
4
Total read
33m
Pillar
Set
Start here — foundational guide
Voice AI architecture diagram showing Twilio call routing into Whisper STT, an LLM, and ElevenLabs TTS with the per-stage latency budget.
PillarFoundational guide

Enterprise Voice AI: Real Latency, Real Compliance, Real Money

Sub-1.5s p95 voice AI on Twilio + ElevenLabs + Whisper, designed for HIPAA and SOC2. The decisions that mattered, and the ones we got wrong twice.

Muhammad Mudassir11 minMay 4, 2026
Read the guide

Continue the path

Ordered by chapter. Each post stands alone but builds on the one before it.

Designing a Non-Scripted Voice Interview Agent on Ultravox — Cognilium AI
Chapter 1

Designing a Non-Scripted Voice Interview Agent on Ultravox

Voice screening that adapts to the candidate instead of reading a script — follow-ups, multi-language, and prompt structure.

8 minRead
Sentiment-Driven Escalation in a 22-Language Voice Support Agent — Cognilium AI
Chapter 2

Sentiment-Driven Escalation in a 22-Language Voice Support Agent

Real-time sentiment scoring drives the human handoff; full conversation context, transcript, and detected intent travel with it. Resolution starts immediately.

7 minRead
Voice AI Latency Budget Deep Dive: Where the 1.5 Seconds Goes — Cognilium AI
Chapter 3

Voice AI Latency Budget Deep Dive: Where the 1.5 Seconds Goes

A line-by-line breakdown of the sub-1.5-second p95 latency budget — VAD, streaming STT, first-token LLM, streaming TTS, network — and the optimizations that buy each milestone.

7 minRead
Build it for real

Read the writeup. Now ship the system.

Cognilium engineers ship the architectures behind these articles for enterprise teams. If you're mid-build on enterprise voice ai, talk to us.