AI quoting saves the most time on the rebuild work: reading the RFQ or your site notes, finding similar past jobs, and drafting the line items. It doesn't know your margin, how booked you are, or which customer pays late. Let AI build the draft, and keep the price with you.
TL;DR
A lot of it goes to work that isn't pricing. Someone opens the email, reads the drawing or the notes from the walk-through, digs up the last job that looked like this one, retypes the specs into a spreadsheet, and emails the customer about the three things they forgot to mention. The judgment call at the end, what to charge, can be the shortest part.
The rebuild adds up even at big companies with full estimating teams. In a UHY study of large North American automotive suppliers, "the typical labor investment per RFQ has grown from about 134 hours to 157 hours." The same study found that "internal missed deadlines remain the most common issue in RFQ preparation" (UHY). Your quotes are smaller, but the pattern may sound familiar: the quote is late because it's waiting on someone to find and retype information, not because the math is hard.
That's the part AI is good at.
Contractors are already using it here. In a Houzz survey of 601 U.S. construction and design firms, "estimates and proposals were the most common project-management application, used by 87% of respondents employing AI in that area" (Roofing Contractor).
A quoting system built around your business can:
What you get back is a draft that's mostly assembled and not yet priced. That's on purpose.
Anywhere the right number depends on something that isn't in the request. AI can draft these lines, but a person should set them.
| Part of the quote | What AI can do | What you decide |
|---|---|---|
| Materials and quantities | Pull them from the request and your price list | Check anything unusual |
| Labor | Estimate from similar past jobs | Adjust for this crew and this site |
| Margin | Apply your standard markup | Raise or cut it for this customer and this job |
| Timing and rush | Note the requested date | Price the rush based on how booked you are |
| Risk | Flag vague scope or missing details | Decide what to exclude, allow for, or walk away from |
| New kinds of work | Find the closest thing you've done | Price it yourself, because there's no history to learn from |
Two of these deserve extra care. Capacity pricing is a judgment only you can make: when you're booked out, you might quote high on purpose, and when you need the work, you might sharpen the pencil. And customer risk, like the client who pays at 90 days or keeps adding scope, often isn't written down anywhere the AI can read.
Because the tool gets bought before the rules exist. In a ServiceTitan survey of 1,020 commercial contractors, run by Thrive Analytics, "among contractors using AI, 59% report a positive impact, but just 15% report a significant positive impact with clear return on investment" (ACHR News). That gap between "it helps" and "it pays" is the one to close.
Three things can get in the way:
Do this before anyone builds anything. It's worth doing even if you never automate a thing.
That list becomes the spec for the system, and it protects you the day your estimator takes a vacation.
Start with one job type that you quote often and price consistently. Run the AI draft side by side with your estimator for a few weeks, and compare the draft to what actually went out. Where they differ, update the rules or move that decision to the "you decide" column.
AI Marketing Labs builds this kind of system as Custom AI Automations, and quotes are one of the processes it covers. It's built on your accounts and your tools, and once it's handed off, it's yours with no ongoing fee to us. Contractors can pair it with the other places AI saves construction businesses the most time.
Once a quote turns into a yes, the job has to land on the calendar. AI appointment scheduling follows the same rule as quoting: automate what follows clear rules, and keep a person on the calls that don't.
Pick three numbers and check them monthly:
Also keep an eye on the questions the system sends back to customers. If the same missing detail comes up every week, add it to your request form so it stops holding up quotes.
It can format one from what you type in, but it doesn't know your costs, your rates, or your past jobs unless it's connected to them. Check every number before a quote from a general chatbot goes out.
Is AI quoting accurate?It's as accurate as the price list and past jobs it draws from. Keep a person reviewing every quote, and track where the draft and the final price differ.
Does AI quoting work for custom jobs?It helps with the intake and the line items even on custom work. The pricing on anything truly new should stay with you, because there's nothing in your history for it to learn from.
How long does it take to set up AI quoting?It depends mostly on how well your pricing rules are written down. If they only exist in one person's head, start there, because that step takes longer than the build.