AI Transformation For Home Services

At Qvery, we help home service companies save money, with custom AI agents that answer after-hours calls and find unbilled work. They also prepare warranty claims and show why calls didn't book. A first working result in two weeks.

Free Report

See How It Would Answer Your Calls.

  • A night emergency, handled on your rules
  • The booking it would take for a routine job
  • A caller outside your area, answered politely

Your result arrives from vlad@qvery.ai within 15 minutes. We delete your files as soon as your result is sent.

Vlad Shvets, Partner @ Qvery

A call at ten at night goes unanswered, and the job goes to someone else. A part the technician used never reaches the invoice. At Qvery, we help home service companies save money, with custom AI agents that answer the calls and check the invoices. They work on your own rules. Your team and your on-call technicians decide.

AI Agents Built For Home Services

Four custom AI agents for heating, cooling, plumbing and electrical companies. Two work on your calls: the one at night and the one that didn't book. Two work on the finished job: the invoice and the warranty claim.

After-Hours Answering Agent

It answers the calls your team can't and follows your rules for service area, urgency and bookings. It books routine jobs into your schedule. For an emergency, it tries your on-call number, then your backup, and your on-call technician decides what happens. If nobody answers, it takes a message and promises a callback.

Booking Call Review Agent

It finds the recorded calls that didn't turn into a booked visit. It lists what each caller objected to, with the time in the call. Your service manager replays only the moments worth coaching. Coaching stays with them.

Unbilled Work Review Agent

It reads the technician's notes and the invoice for the same job. Every part and labor item in the notes is matched to an invoice line. What's in the notes but not on the invoice is listed in the technician's words. Your billing team adds it before the invoice goes out.

Warranty Claim Preparation Agent

It reads the finished job's ticket, invoice and label photo. It fills in the manufacturer's claim fields, each with its page or photo. It lists what's still missing, such as an install date, and shows the deadline when you give it the filing window. Your coordinator checks the claim and files it.

What These Tasks Cost Your Team.

Set for a company of about 200 people, with 17 on these jobs. Put in your own numbers and the result updates.

Your Numbers

Answering after-hours calls
Reviewing calls that did not book
Checking invoices against technician notes
Preparing warranty claims
Saved a year
$75,893
Today
$246,270
With the agent
$170,377
Pays back in
14.2 months
Three-⁠year return
153%
Deploys for about
$90,000

Saved a year $75,893

Read The FAQs.

What does Qvery build for home services?

At Qvery, we help home service companies save money, with custom AI agents that answer after-hours calls and find unbilled work. We build four. One picks up at night, and one reviews what callers objected to. One checks invoices against technician notes, and one prepares warranty claims. They work on your own rules and systems. A first working result comes in two weeks. Two work on your calls and two on the finished job. A call at ten at night goes unanswered, and the job is lost to someone else. A part the technician used never reaches the invoice. Your team and your on-call technicians decide.

Does it transfer real emergencies?

Yes, to a person. It never books an emergency as a routine job. It tries your on-call number, then your backup, and if nobody answers it takes a message and promises a callback. Your on-call technician gets the address, the problem and the caller's answers. It can be a live transfer or an alert with everything needed for a callback. We set it up the way your on-call process works today. Repair and safety advice always come from a person.

What would it refuse to book?

Anything your rules exclude, such as an address beyond your area or a job type you don't take. It tells the caller what happens next, in your words. A caller outside your area is told so politely. Your dispatcher sees every booking in the morning and can move it. Your team picks up the rest the next day. A caller who asks for a human reaches your on-call technician or gets a callback.

Do callers know it is an AI agent?

Yes. The agent says so at the start of every call, and it hands the caller to a person whenever your rules allow. It greets callers in your company's name. It asks what they need and takes the address and contact details. It answers questions about your services and hours from your website and rules. After hours, at weekends or when every line is busy, calls go to the agent instead of voicemail. Nobody hears a ring that goes nowhere.

How does it find work nobody billed?

It reads the technician's notes and the finished invoice for the same job. Every part and labor item in the notes is matched to an invoice line. Whatever is in the notes but not on the invoice is listed in the technician's words. Your billing team checks it and adds it before the invoice goes out. Some items are warranty or goodwill work given free, so each one is a question, not a charge. Findings name the job, never a person. Your technicians keep writing notes as they do now. We tune it on your own jobs, so their shorthand maps to your invoice names.

Does the call review score our staff?

No. It lists the objections the caller stated and what happened in the call, each with its time. Nobody gets a score from the agent. Your service manager replays only the moments that matter and decides what to coach. A worry repeated three times counts as one objection. The agent finds the calls that ended without a booked visit. It also lists the price asked, a fee mentioned or the next opening offered. Parts it cannot hear are listed as unheard.

Will it fit our field service software?

It works with your phone line and the recordings your system keeps. It also works with the job records and invoices your field service software exports. Where your software lets an agent read the schedule and write a booking, it does. We check what yours allows before we build. Nothing changes in how your jobs are booked or closed. Where your software can't be reached, your team keeps working from the exports as now.

What does it cost to build these agents?

Each agent costs about $20,000 to $35,000 to build. The four together cost about $90,000 to build and $3,360 a month to run. For a company of roughly 200 people, they can save about $76,000 a year in team time, after running costs. The calculator above lets you put in your own numbers. The after-hours agent is the largest at $35,000, and the other three cost $20,000 to $25,000. The calculator counts the hours each team gets back. The unbilled work the agent finds is revenue on top.

What happens to our customers' details?

Before any build, we agree in writing which systems each agent may reach and where its data is processed. Only the people named there hear or see it, and nothing is kept longer than agreed. Qvery is based in the EU, so Europe's data protection law, the GDPR, applies. We sign a data processing agreement. Files you send to the free try are deleted as soon as your result is sent. The free try works only on the website and rules you send.

How do we partner with Qvery?

Choose Let's Partner at the top of the page to book a call with Vlad Shvets. We start with the place your company loses the most, often the calls after hours. We build its agent first, on your own calls and jobs, and add the next once it works. You can try the first agent free: see how it would answer your calls. The free try shows three calls, written out on your rules. One is a night emergency, one a routine booking and one a caller outside your area.