VOICE AI MEETS OLD-SCHOOL TELEPHONY: WHAT IT REALLY TAKES TO MAKE IT WORK
An InfoWorld piece breaks down the gritty, system-level work required to plug modern voice AI into legacy telephony.
An InfoWorld piece breaks down the gritty, system-level work required to plug modern voice AI into legacy telephony.
Call centers and operations teams want AI agents, but the hardest work sits at the telephony edge, latency path, and handoff logic.
Getting architecture wrong early locks you into vendors, balloons costs, and frustrates users with talk-over and awkward delays.
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terminal
Measure end-to-end latency from audio-in to audio-out under load; validate barge-in and turn-taking behavior on real call samples.
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terminal
A/B test interchangeable STT/TTS/LLM providers through a common interface; track accuracy, stability, and cost per call minute.
Legacy codebase integration strategies...
- 01.
Insert a telephony gateway that speaks your SIP/PSTN today and exposes a clean, vendor-agnostic streaming API to the AI stack.
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Keep a fast human-agent fallback path and dual recording/redaction in place to meet compliance and avoid dead-end IVR loops.
Fresh architecture paradigms...
- 01.
Design a modular pipeline (STT -> LLM/planner -> TTS) with swappable components and clear SLIs for latency, quality, and cost.
- 02.
Build turn-taking first-class: VAD, barge-in, and interruption rules wired into streaming I/O, not bolted on later.