A custom AI Dispatcher trained on your business — answering every call, qualifying the job, booking the appointment, and dispatching the right technician. Around the clock, not just around your team's schedule.
Press play to hear a real AI Dispatcher call — answering, qualifying, and booking, start to finish.
A human dispatcher can handle a lot. But a human dispatcher also has a finite amount of hours in a day — and HVAC demand doesn't wait for the office to reopen.
A customer with a real emergency doesn't wait for a callback. They call the next company. The business that answers first — and books on the spot — is usually the one that gets the job.
A receptionist answers and routes calls. A dispatcher is connected to everything that happens after — qualification, booking, technician selection, and the job brief that gets a tech to the door prepared.
This is the difference between answering the phone and running the dispatch — every call, every time.
The AI Dispatcher answers immediately, 24/7.
Understands the issue and urgency, collects the details your business needs.
Checks real availability and books against your configured rules.
Selects the right tech based on skills, specialty, and availability.
Sends the full brief by text and confirms by call before arrival.
Everything lands in your dashboard — booking, dispatch, and customer replies.
If the first technician doesn't confirm, the system follows your configured dispatch logic and reroutes — the process doesn't stall waiting on one person.
A receptionist answers and routes. A dispatcher is connected to what happens after the call — scheduling, technician selection, and the job brief that gets a tech to the door prepared.
"—" means typically not included or requires custom configuration elsewhere — not that it's impossible everywhere. The distinction is what the system is built around: answering the phone, or running the dispatch behind it.
Every voice is natural and real-time. Tap a card to hear how it sounds on an actual call.
Every AI Dispatcher we build is trained around the individual HVAC company it serves. This demo uses your public website to preview how it talks — your production system is separately trained, integrated, and deployed around your real business.
Tell us who you are and we'll generate a live preview using your public website.
Why we ask: this preview uses your business context so it sounds like it's speaking for your company. This is not your production system — that's separately trained and configured during implementation.
The free preview is one per business — looks like you (or your website) already ran through it. Since you're clearly interested, the fastest next step is a quick call to see it applied to your real business.
Book your callThis demo isn't connected to any real calendar, CRM, or technician — nothing booked here is a real appointment.
What you just experienced was the conversational layer. A production AI Dispatcher is separately trained, configured, integrated, tested, and deployed around your actual company and workflow.
A paid pilot is the lower-risk option if you want to validate the system inside your operation before a full deployment.
The system runs on protected enterprise cloud infrastructure that is SOC 2 compliant, with your configuration and credentials encrypted in an isolated secrets vault. Every client's workspace — database, dashboard, and AI Dispatcher — is fully isolated. Nothing is shared between businesses.
The Dispatcher follows the rules configured for your business. If a customer asks something outside its guardrails — a diagnosis, a technical judgment call — it doesn't improvise.
Emergency criteria are configured with you during implementation. When a call meets that bar, the system follows your configured escalation path to the owner, GM, or whoever you designate.
Every client gets a private admin dashboard with a built-in CRM — bookings, dispatches, and customer replies, all visible in real time.
Pause or resume the system at any time from your dashboard. Pausing doesn't cancel your Care Plan or change your billing — it just stops the system from taking calls.
This isn't a self-serve tool you configure yourself. Favor Studio builds, trains, and deploys your AI Dispatcher — you provide the information about your business, and we handle the rest.
We collect what the system needs to represent your business — services, service area, hours, emergency procedures, technicians, and scheduling rules.
Your AI Dispatcher is built around how your business actually runs — not a generic HVAC script.
Trained on your specific workflow — how calls should be qualified, how urgency is assessed, how jobs are matched to technicians.
Connected to the calendar and communication tools you already use.
You test the system directly before it ever takes a real call — accuracy, tone, qualification flow, and dispatch logic are all reviewed.
Your AI Dispatcher goes live and starts handling real inbound calls.
Monitored and maintained by Favor Studio as part of your monthly Care Plan.
Standard timeline: Week 1 to build, configure, and train. Week 2 for your team to test and refine before launch.
Implementation covers the actual build — training, configuration, integration, testing, and deployment. The Care Plan is a fully managed service that keeps the system running afterward, so you're never managing infrastructure yourself.
Paid upfront before the build begins. One booked job typically covers the monthly Care Plan — we'll walk through your actual numbers on a call, not a generic promise.
No. It's a voice-based system trained specifically around your business, technicians, and dispatch workflow — not a generic script with your name on it.
No. It's designed to extend your team's coverage — handling the calls that come in after hours, on weekends, during peak volume, or while your team is already on another line.
Emergency criteria are configured with you during implementation, along with what happens next — who gets notified and how.
No. It follows the guardrails configured for your business and doesn't guess. When a question needs a technician, it says so and moves to booking the appointment.
That covers the actual build — training the system on your business, configuring your scheduling and dispatch rules, integrating your tools, and testing before launch. It's not a generic software license.
It keeps your AI Dispatcher monitored, maintained, and operational — including the infrastructure and telephony costs behind it — so you're never managing that yourself. New features or major changes are scoped separately.
Qualified companies can discuss a paid pilot to validate the system in their actual operating environment before a full deployment.
Standard is week one to build and configure, week two for your team to test and refine before launch. Exact timing depends on scope and how quickly information comes back to us.
The question is whether someone is there to answer.