Perspectives on AI-powered calling
Practical thinking on how intelligent voice technology can save time, reduce friction, and create better experiences — and what it takes to make it reliable.
How to Evaluate an AI Voice Agent for Enterprise Use
Evaluating enterprise voice AI requires looking beyond voice quality to verifiable task completion, context retention, real-time adaptation, security, latency, and system integration. An operational framework for evaluating AI voice agents.
Read articleSolving the Data Center Problem
Very few conversational AI systems survive a live, unscripted phone call where the IVR menu is unfamiliar, the hold music runs eight minutes, and the human on the other end interrupts mid-sentence.
Read articleThe Deterministic Fix: How to Architect AI Voice Agents That Don’t Hallucinate
The problem isn’t that language models occasionally get things wrong. It’s that most systems never built anything to catch it when they do.
Read articleA Better Standard for AI Calling
The future of AI calling will depend less on how human the technology sounds and more on whether the call is relevant, transparent, and respectful.
Read articleWhy Voice AI Breaks: Inside the STT-LLM-TTS Pipeline
A live phone call is a much harder problem than a text chat window — and most of the difference comes down to a handful of technical failure points that never show up in a quiet-room demo.
Read articleAI Voice Agent Reliability: Why AZcall Doesn’t Break Under Real-World Phone Calls
What it takes for a voice agent to survive unfamiliar IVRs, long holds, and interruptions — and how AZcall’s architecture is designed for it.
Read articleAI Voice Agent Failures: What McDonald’s and Air Canada Got Wrong
McDonald’s and Air Canada show what happens when companies ask one probabilistic AI model to manage deterministic business rules like orders, policies, and refunds.
Read articleThe future of operational workflows
Phone systems still power critical business processes. Varaie is building a new layer to automate that work — turning time spent on calls into completed outcomes.