Guides for evaluating and running AI support.
Reference material on AI voice agents, orchestrated routing and what changes operationally when AI handles the first contact.
Why latency decides if people talk to your voice agent
Sub-second turn-taking, where the milliseconds go, and what breaks below it.
Zero hallucination, because the model never authors the answer
Deterministic workflows, low LLM dependency, and why answers are reproducible.
What AI conversations look like across industries
Banking, healthcare, retail, logistics and telecom — what automates and what escalates.
The handoff is where most AI support fails
What an AI-orchestrated ACD carries across so nobody repeats themselves.
One platform for AI agents and human agents
What integrating a separate AI vendor actually costs at the seam.
WebRTC and why audio quality decides AI accuracy
Narrowband telephony caps transcription accuracy before the model sees a word.
Choosing the speech engines behind your voice agent
Deepgram, ElevenLabs, Cartesia, Sarvam and Azure, and what to optimise for.
Bring your own LLM
Model choice without lock-in, and why different contacts justify different models.
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