AI Voice Operating System
End-to-end AI replacing call center operations for service businesses.
Overview
A production AI system that handles inbound calls, dispatches service jobs, and runs operations for home-service companies — without human dispatchers.
The system speaks natively in English, Spanish, and Russian, executes pricing and warranty logic in real time, and escalates to human operators only when needed. It runs 24/7 with no degradation in conversation quality.
What it does
- Handles inbound calls via AI voice agents
- Multi-language routing across English, Spanish, and Russian
- Real-time booking and scheduling
- Pricing and warranty logic execution
- Address validation through Google Places
- Escalation to human operators via Telegram
- Dynamic conversation control (tone, speed, level of assertiveness)
Architecture
- Voice AI layer (speech → LLM → speech)
- Agent routing system
- Booking and scheduling engine
- CRM with operator dashboard
- Real-time notification system
Architecture diagram coming soon
Impact
- Replaces human dispatch operations
- Increases booking conversion through faster response time
- Reduces operational costs
- 24/7 availability with no quality degradation
AI Operating System for Service Companies
Want a system like this?
Book a strategy callWhy the hard part is not the speech
Speech-to-text and text-to-speech are close to solved and available from several vendors. What breaks a voice agent in production is latency and the handover. A caller tolerates roughly a second of silence before they assume the line is dead, and every stage — transcription, the model's reasoning, the lookup against the business's own data, the synthesis of a reply — spends part of that budget. Pipelines that work in a demo fail on a real call because the demo has no database behind it.
The second failure is the escalation. An agent that cannot recognise the limits of what it knows will confidently quote a price it invented, and one call like that costs more than the automation saved. Routing to a human through a channel the owner already watches — rather than 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 features bolted onto a voice agent; they are the reason it can finish a call. An agent that takes a message has automated the receptionist's least valuable function. One that validates the address against Google Places, applies the company's own pricing rules, and writes an appointment into the schedule has completed the transaction while the customer is still on the phone.
Multilingual handling is the same kind of decision. In the markets these businesses operate in, the customer and the crew frequently 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 a localisation feature — it decides whether the job exists.