AI-FIRST CALL CONTROL
Every inbound session enters the same deterministic path for fraud checks, load verification, qualification and transfer.
ANONYMIZED CLIENT / FREIGHT TECHNOLOGY / PRODUCTION VOICE AI
I built the VoIP infrastructure and real-time AI path from scratch, operating at ~30K calls per day with immediate AI answering, fraud checks, load verification, qualification and structured live handoff.
ROLEVOIP ARCHITECT + ENGINEER
VOLUME~30K CALLS / DAY
PRODUCTION~500 CONCURRENT CALLS
COVERAGE100% AI-FIRST ANSWERING
THE SITUATION
Inbound traffic mixed legitimate loads with repetitive questions, incomplete data and fraud risk. The platform had to answer every call, verify the caller and load, collect missing context and preserve the live session when transferring a viable conversation.
ARCHITECTURE
The SIP session survives slow or failed downstream dependencies. FreeSWITCH owns media and interruption; Node.js coordinates AI, verification and a context-rich live transfer.
WHAT I BUILT / HARD PROBLEMS
Every inbound session enters the same deterministic path for fraud checks, load verification, qualification and transfer.
Speech detection, partial transcripts and interruption control were tuned to reduce response latency without clipping callers.
Stateless control, horizontally scaled media and correlated call state kept calls recoverable when an AI or infrastructure dependency failed.
OUTCOME
The agent handled the first conversation on every call, detected fraud signals, verified the load and collected missing information. Only qualified calls were transferred, with context and call state preserved for the representative.
~30K CALLS / DAY / ~500 CONCURRENT IN PRODUCTION / 100% AI-FIRST ANSWERING / TESTED ABOVE PRODUCTION LOAD
DRACHTIO · FREESWITCH · ESL · NODE.JS · DEEPGRAM · VAPI · KUBERNETES / EKS · AWS
All scale figures are approximate production values; 100% refers to AI answering first, not end-to-end resolution without a representative.
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