AI SystemsVoice
How We Built a Voice AI Agent
From latency budgets to human handoff — the architecture decisions behind a production voice agent that actually ships.
KT
Komyosys Team
AI Engineering
Most voice AI demos fail in production because teams optimize for the demo, not the system. Here is how we approach voice agents as software — with observability, guardrails, and human escalation from day one.
Start with the workflow, not the model
Before choosing STT, TTS, or an LLM, map the conversation states: greeting, intent capture, tool calls, escalation, and closure. Every state needs a fallback and a log line.
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