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Building Enterprise Voice Agents: Architecture and Governance for Production Deployment
A CTO-level framework for moving voice AI from pilot to production: phased rollout, compliance-first architecture, platform selection, and governance.
Voice Agents in Production: The Enterprise Guide to What Works Now
Voice AI handles 19% of contact-centre volume and grew 340% YoY. This hub maps all seven domains — models, latency, compliance, failure modes, and architecture.
Deepgram Flux and the Multilingual Voice Agent Deployment Challenge
Deepgram Flux vs GPT-Realtime-Translate for multilingual voice agents — what benchmark scores miss about accent bias, code-switching, and production accuracy.
Voice Agent Compliance: TCPA, HIPAA, PCI and What Comes Next
TCPA, HIPAA, and PCI compliance for AI voice agents explained — consent rules, BAA costs, air-gapped STT, and state biometric laws for 2026 deployments.
When Voice Agents Go Wrong: Production Failure Modes and How to Prevent Them
Voice agent failures go beyond latency. Learn the production failure modes — hallucination, persona drift, accent bias, deepfakes — and how to prevent them.
Voice Agent Latency Solved Enough for Production: Benchmarks and Architecture Tradeoffs
Voice agent latency benchmarks, platform comparisons, and architecture tradeoffs for production deployment. Is 600ms enough for natural conversation?
Home Depot Voice Agent Case Study: What Enterprise Deployment Looks Like
Home Depot’s May 2026 voice AI rollout proves enterprise deployment works. Real ROI data, cost models, and what separates a stalled pilot from production.
GPT-Realtime-2 and the New Voice Model Tier
GPT-Realtime-2 launched May 7, 2026 with GPT-5 reasoning, 128K context, and native speech-to-speech. What engineers need to know before production evaluation.