Voice AI · 18 articles
Voice AI.
Deploying, scaling, and measuring AI voice agents.
18 articles
AI Voice Escalation: The Handover Pattern That Decides ROI
Most AI voice programmes lose 30–40% of containment value at the handover moment. Here is the enterprise escalation pattern that protects CX and the P&L.
Voice agent latency benchmarks: enterprise reality
Voice agent latency benchmarks enterprise buyers should demand — how accents, noise, interruptions and domain vocabulary break vendor demo-room numbers.
AI voice agent QA and testing: an enterprise framework
AI voice agent QA testing for enterprise: the four-layer framework — unit tests, red-teaming, shadow calls, and 100% live production scoring at scale.
LLM vs scripted voice agents: enterprise guide
LLM voice agents vs scripted flow builders: which architecture survives enterprise production in regulated UK industries. The honest answer is hybrid.
PolyAI Canada Expansion: What Voice AI Buyers Should Read
PolyAI Canada expansion enterprise voice AI: read the May 2026 Toronto hub and 200+ customer signal as a buyer — three scaling models, one contract.
Vapi, Amazon Ring, and the Enterprise Voice AI Bake-Off
Vapi Amazon Ring enterprise voice AI selection: the four-gate procurement methodology that beat 40 vendors in two weeks — what UK buyers should now copy.
Voice AI accuracy: beyond WER for enterprise
How to evaluate voice AI accuracy beyond WER: the four operational metrics enterprise buyers must score before any production deployment decision is signed.
Voice AI Vendor Consolidation: De-Risking the Buyer Stack
Voice AI vendor consolidation is now an enterprise procurement risk. The architectural defence: portable prompts, swappable telephony, neutral analytics.
Real-time transcription AI voice: enterprise data layer
Real-time transcription AI voice calls is the data layer every downstream voice AI capability rides on. WER, confidence, and procurement gates inside.
Voice AI Agent Quality Scoring: Automated QA at Scale
Voice AI agent quality scoring is the enterprise procurement gate of 2026. Score every call automatically, pass audit, deploy at scale with confidence.
Voice AI Barge-In Handling: Why Interruptions Break Deals
Voice AI barge-in handling is a procurement criterion, not a UX detail. The benchmarks, vendor questions, and tier model that protect containment ROI now.
AI voice sentiment analysis: what enterprises measure
AI voice sentiment analysis on 100% of calls only pays off when the loop closes. The signals enterprises actually measure and a 90-day framework that ships.
Voice AI orchestration vs platform: the enterprise choice
Voice AI orchestration vs platform decides whether you operate raw infrastructure or buy outcomes. The enterprise framework, the numbers, and the call.
Agentic Voice AI: What Enterprises Need to Know in 2026
Agentic voice AI now executes end-to-end calls without human handoff. Where it works, where it fails, and what UK enterprises must check before they buy.
Enterprise AI voice agents: the complete guide
Enterprise AI voice agents reduce per-call costs by 90%. Covers architecture, ROI, and compliance for UK enterprise teams deploying voice AI at scale.
AI receptionist enterprise: infrastructure and ROI guide
AI receptionist enterprise: UK contact centres lose £6.7bn to repeat calls. Infrastructure, ROI, and compliance essentials for enterprise voice AI buyers.
Inbound vs Outbound AI Voice Agents: Practical Guide
Inbound vs outbound AI voice agents: which should enterprises deploy first? A practical decision framework covering use cases, ROI, and deployment sequencing.
Building Dilr Voice on Pipecat: the open-source voice AI framework powering thousands of production calls
Dilr Voice handles thousands of production calls daily on the Pipecat open-source framework. A deep-dive into the architecture: multi-agent routing, real-time telephony, knowledge base RAG, and the six systems we engineered on top.