Give callers a price range taken straight from your own price book, conditioned on a diagnostic visit, without anyone on your team inventing a number.
An AI agent for repair pricing is a 24/7 digital assistant that answers "how much does it cost" questions with your published ranges, gathers the details that move the number, books the diagnostic visit, and logs the exchange to your CRM. It stops price shoppers hanging up and dialling the next contractor when nobody is free to pick up the phone and talk numbers. Most home service companies lose these calls twice over: once when the phone rings out, and again when whoever does answer refuses to say anything at all about price. This agent takes the middle path. It reads from the ranges you published — "most water heater replacements in our area run $1,400 to $2,200" — states plainly that the final price is set after a technician has seen the job, and moves the conversation to a booked appointment. It has no source of numbers other than the price book you upload, so it cannot invent a figure, cannot round your range down, and cannot give a firm price on a job nobody has looked at.
Quotes the published range, names the conditions, books the diagnostic.
Answers "how much does it cost" with the published range for that job type
Reads only from the price book you upload — it has no other source of numbers
Asks the two or three details that decide where in the range a job lands
Says out loud that the final price is set after the diagnostic visit
Books the diagnostic and states the service fee before the caller agrees
Logs the quoted range, the job type and the outcome to your CRM
Refusing to talk price at all is the fastest way to lose a caller who has three other numbers in front of them. Quoting a firm figure sight unseen is the fastest way to lose money on the job itself. A published range does both jobs at once: it tells the caller they can afford you, and it leaves you free to price the work properly once a technician has seen it. This agent holds that line on every call, at every hour, without depending on who happens to be near the phone.
A simple, three-step flow.
You upload the ranges you already publish: job type, low end, high end, and any conditions such as fuel type or access. The agent has no pricing source other than this file.
The agent identifies the job type, asks the two or three details that move the number, and reads back the matching range with the diagnostic caveat attached every time.
It offers the next diagnostic slot, confirms the service fee, creates the job in your field-service software and writes the quoted range onto the record.
A realistic use case with concrete timing and output.
Scenario: A 4-technician home services company fields about 60 pricing inquiries a month and the office manager reaches roughly half of them. At 7:15pm a homeowner texts "what do you charge to replace a 50 gallon water heater". The agent asks whether it is gas or electric and whether the unit sits in a garage or an attic, then replies: "Gas, garage installs in our area run $1,650 to $2,300 including permit and haul-away. That is our published range — your final price is set once our technician has seen the venting and the connections." She books an 8am diagnostic at $89, credited against the job if she goes ahead. The office manager reads the thread the next morning and changes nothing.
Roles that gain practical value from this AI agent.
You are the only person who knows the price book, and you are usually on a job when the pricing calls come in.
Takes the judgment out of the hardest question on the phone and makes every answer identical.
Price questions are the highest-intent calls you buy; losing them to a "we can't say" answer wastes the ad spend.
One price book per trade, one agent, and no cross-contamination between plumbing and HVAC ranges.
Keeps every location quoting the range head office published rather than a local improvisation.
Callers arrive at the estimate already knowing the bracket, so the conversation starts from reality.
Key tools and what the AI agent does inside each.
Holds the price book. Change a range in the sheet and the next caller hears the new number.
Carries the pricing conversation by text, which is how most price shoppers prefer to ask.
Creates the diagnostic job and writes the quoted range into the job notes for the technician.
Books the diagnostic against real technician availability and attaches the customer record.
Logs the inquiry as a deal with the job type and quoted bracket so you can see which ranges convert.
Six practical scenarios that this AI agent excels in.
Common questions about using the AI agent in workflows.
An AI agent for repair pricing is a 24/7 digital assistant that answers "how much does it cost" questions with your published ranges, gathers the details that move the number, books the diagnostic visit, and logs the exchange to your CRM. It stops price shoppers hanging up and dialling the next contractor when nobody is free to pick up the phone and talk numbers. Unlike a voicemail box, an answering service or a booking widget, it can actually discuss price — but only within the range you published, and only with the diagnostic named as the next step.
No. The agent has exactly one source of numbers: the price book you upload. It cannot generate a figure that is not in that file, and it presents every number as a published range rather than a quote. Each pricing reply carries the same closing line, that the final price is set after a technician has seen the job. If a job type is not in your price book, the agent says it has no published range for that work and books the diagnostic instead of improvising.
It holds the line. The agent repeats the range once, explains plainly why an unseen job cannot be priced to the dollar — access, venting, permits, what is behind the wall — and offers the diagnostic appointment. It does not split the difference or pick the midpoint to end the conversation. Contractors tell us this is the point of the tool: the social pressure that makes a tired person cave at 8pm does not work on a script.
With a range, the conditions, and a next step. A replacement price depends on tonnage, efficiency rating, ductwork condition and whether the line set can be reused, so a single figure is meaningless and a wrong one is expensive. The agent gives your published bracket for the tonnage the homeowner describes, names the two or three factors that move it, and books the load calculation. That is a more credible answer than a number, and it converts better.
Often because the first real price conversation happens on the doorstep, after the customer has spent a week imagining a much smaller number. Anchoring early with a published range removes that shock. When the technician's figure lands inside a bracket the customer already heard from you, the estimate reads as a confirmation rather than the opening move in a negotiation.
Yes. The price book can be split by trade, by zone or by membership status, and the agent picks the right row from details it has already collected. If the caller's postcode falls outside your service area it says so before quoting anything, which saves you a range going to someone you will never serve.
No. Agentplace agents do not process money. The agent states the diagnostic fee, confirms the customer has heard and accepted it, and books the appointment. The transaction happens through whatever you already use — a card on site, or your existing invoicing flow — and the agent simply notes on the job that the fee was disclosed.
Give callers a price range taken straight from your own price book, conditioned on a diagnostic visit, without anyone on your team inventing a number.