AI Voice Operating System

AI Infrastructure / Voice AI / Operations AutomationProduction

An AI system that answers calls, books jobs, and dispatches crews for home-service companies.

Overview

A production AI system that answers inbound calls, dispatches service jobs, and runs day-to-day operations for home-service companies, with no human dispatcher on the line.

It speaks English, Spanish, and Russian, applies the company's pricing and warranty rules during the call, and hands off to a human operator only when it reaches the limit of what it knows. It runs 24/7 without a drop in conversation quality.

What it does

Inbound calls answered by AI voice agents
Language routing across English, Spanish, and Russian
Booking and scheduling during the call
Pricing and warranty rules applied in real time
Address validation through Google Places
Escalation to human operators via Telegram
Adjustable tone, speed, and assertiveness per conversation

Architecture

Voice AI layer (speech → LLM → speech)
Agent routing system
Booking and scheduling engine
CRM with operator dashboard
Real-time notification system

Impact

Takes over the work of human dispatchers
Higher booking conversion from faster response
Lower operating costs
Available 24/7 at the same conversation quality

AI Operating System for Service Companies

Want a system like this?

Book a strategy call

Why the hard part is not the speech

Speech-to-text and text-to-speech are close to solved, and several vendors sell them. What breaks a voice agent in production is latency and the handover. A caller tolerates about a second of silence before assuming the line is dead, and every stage — transcription, the model's reasoning, the lookup in the business's own data, the synthesis of a reply — spends part of that second. A pipeline that works in a demo fails on a real call because the demo has no database behind it.

The second failure is escalation. An agent that cannot recognise the limits of what it knows will confidently quote a price it made up, and one such call costs more than the automation saved. Handing off to a human in a channel the owner already watches, not a queue nobody opens, is what makes the system safe to leave running overnight.

What the surrounding layers are for

Booking, pricing, warranty logic, and address validation are not add-ons to a voice agent; they are what lets it finish a call. An agent that takes a message has automated the least valuable part of a receptionist's job. One that validates the address against Google Places, applies the company's pricing rules, and writes the appointment into the schedule has closed the transaction while the customer is still on the phone.

Multilingual handling is the same kind of decision. In these businesses' markets the customer and the crew often do not share a language, and the call that gets abandoned is the one that started in the wrong one. Answering in English, Spanish, or Russian is not localisation; it decides whether the job happens at all.