AI Quoting and Estimating for Contractors: From Photo to Proposal

A Kickstand survey of 606 contractors across the US and Canada found 78% are already using AI tools on the jobsite. For estimating specifically, 47% are using AI in some form, and the shops that are report saving 15 to 20 hours a week, according to Beam AI customer data.

That is the baseline. If you are a $1M to $10M contractor still building proposals by hand in Excel, your competitors are bidding three times as many jobs. That is not going to flip back.

Why Estimating Changed in 2025

Estimating used to mean a truck roll, a tape measure, and a pad of paper. Then it meant a site visit and a templated proposal in Word. The jump in 2025 was photo-to-estimate.

BuildFolio and QuoteIQ are two of the names. BuildFolio's AI analyzes job photos and generates Good, Better, Best quotes in under 60 seconds, with profit tracking built in. QuoteIQ's AI scans uploaded photos for property size, surface conditions, access issues, and scope, then cross-references your market pricing.

BuildFolio includes its AI estimator on a $39 per month Pro plan. Fifteen trades are supported: roofing, HVAC, plumbing, electrical, painting, general contracting, fencing, decking, carpentry, handyman, window cleaning, landscaping, flooring, pressure washing, and gutter cleaning.

Beam AI targets the larger commercial end and is used heavily by electrical and mechanical contractors. Users report bidding 3x more projects without hiring new staff. That is the core win.

The Math on Win Rate

Even if your AI tool only gets you to 70% of a full estimator's accuracy, the volume shift wins. If you bid three jobs for the time it used to take to bid one, and your close rate is 30%, you close three times as many jobs per month.

Hatch analyzed 163,000 HVAC estimate follow-up campaigns. The average response rate was 60%. The best sequence hit 90.06%. Those rates are not about the first send. They are about the three or four touches that come after. Hatch's 60% follow-up conversion is a floor, not a ceiling.

Most contractors send the quote once and forget. ProfitOutreach's 2025 sales follow-up data shows 50% of sales happen after the fifth contact but most reps stop after two. AI fixes that by running the sequence without you thinking about it.

Use Case 1: Photo-to-Quote for Exterior Work

Roofing, gutters, decking, fencing, pressure washing. Trades where a homeowner can text you a photo and you can respond with a real number inside 10 minutes. Photo-to-proposal is a core play for AI agents for roofing contractors and the Aurora/Aerialytic design workflow for solar contractors.

BuildFolio's claim is under 60 seconds to a Good, Better, Best quote. That is the front end. The back end is you reviewing the estimate, adjusting for the things the photo missed, and sending.

An online contractor community member on ContractorTalk wrote: "I used to do three estimates a day, driving between sites. Now I do twelve, because eight of them never need a site visit. My close rate dropped from 45% to 35% but my revenue is up 60% because the volume is so much higher."

That is the tradeoff worth knowing. Close rate per quote falls. Revenue rises because you are quoting more than the old system let you.

Use Case 2: AI-Drafted Proposals From Notes

Beam AI and BuildOps both support building proposals from voice notes and scribbles. The tech walks the job, dictates "new 200-amp panel, 14 new circuits, Leviton devices throughout, Milbank meter base, trenching 80 feet for service entrance." Two minutes later the AI has a line-itemed proposal that the tech reviews and sends.

BuildOps lists six AI-powered electrical estimating tools in its 2026 roundup, pointing out that the shop using AI submits four bids in the same time the traditional shop submits one. More bids means more wins.

For commercial work, that compounds fast. Electrical contractors on the Owned and Operated podcast have reported moving from a 22% close rate at 40 bids a month to the same 22% close rate at 110 bids a month. Same ratio, three times the revenue.

Use Case 3: Assembly-Level Estimating

Assemblies are the pre-bundled work packages every trade uses. A kitchen electrical rough-in is 8 receptacles, 3 switches, 2 lights, 140 feet of wire, one circuit. AI reads the plan and builds the assembly count before you touch it.

Autodesk's 2025 construction blog highlighted this as the single biggest productivity gain in estimating. The manual version of assembly counting takes a skilled estimator four hours per 2,000 sq ft of residential plan. The AI version takes six minutes.

A solo electrical contractor posted on r/electricians in early 2026: "My buddy runs a shop with three estimators. I run mine solo with Beam. Last month I submitted 38 bids. He submitted 52 across three people. His per-estimator volume is half mine. He is going to hire me as a fourth estimator before he figures out how to use the tool."

Use Case 4: Follow-Up That Does Not Die

You can have the best photo-to-quote tool on the market and still lose the job because nobody followed up on Thursday.

AI follow-up ties into your CRM, watches the quote status, and runs a three or four-touch sequence: polite nudge on day 2, value reminder on day 5, "still interested" question on day 10. The same discipline Hatch built into its HVAC platform now lives inside general-purpose tools for any trade. The best sequences blur into stale-quote reactivation at the 60 to 90-day mark.

The difference between a 28% close rate and a 41% close rate on the same quote volume is almost entirely the follow-up. That 13-point lift translates to double-digit revenue growth for a $2M shop.

Use Case 5: Pricing Against Your Market

QuoteIQ's AI scans the internet and analyzes pricing data specific to your market. The estimate you send is not a random markup. It is calibrated to what your zip code actually supports.

For a contractor operating in a new service area, that is a cold-start problem solved. You do not need six months of local data. The AI has it.

The limit is that your margin philosophy still has to override. If the market supports $14 per linear foot for fencing and you need $16 to hit 40% gross, price to your number, not the market's. AI gives you the market context. You are still the operator.

Use Case 6: Historical Job Costing as a Feedback Loop

The most underrated feature is the AI reading your closed jobs and telling you where you lost margin. Not theoretical. Actual labor hours versus estimated hours, actual materials versus estimated materials, broken down by job type.

ServiceTitan's 2025 AI in the Trades Report found the benefit most cited by contractors using AI is efficiency and productivity at 74%, followed by better decision-making at 51%. Job costing is where those two intersect.

A roofing contractor on Tommy Mello's Home Service Expert podcast said his estimate accuracy moved from "plus or minus 18% on labor hours" to "plus or minus 6%" after six months of running the AI job-costing loop. That accuracy is the margin that used to leak. If you run Housecall Pro, our breakdown of why HCP reports miss job profit covers the gaps that show up in the same feedback loop.

Where Photo-to-Quote Still Fails

Work that depends on hidden conditions. Electrical tied into an unknown panel. Plumbing that requires cutting into a wall. Roofing with decking condition that nobody can see until the shingles come off.

AI quotes these at a surface level. The tech still has to walk the job for anything where cost swings are driven by conditions the photo cannot show.

The shops that use AI well quote the visible scope with AI, then flag the hidden-condition items explicitly: "Estimate assumes roof deck is in good condition. If rot is discovered, additional charges apply per line item below."

That is the pattern. AI handles the 80%. You handle the 20% where judgment matters.

The Build vs Buy Question

The ServiceTitan 2025 report found 59% of AI-using contractors prefer features built into existing software. Forty-two percent use general-purpose tools like ChatGPT. Only 8% have custom-built systems.

Custom is expensive. A dev shop build for a contractor-specific estimating tool starts at $60,000 and takes six months. By then the off-the-shelf options have shipped three new features. If you are still considering a custom path, read how to build an AI agent for home services before you sign a statement of work.

For most contractors, the right answer is to pick a pre-built estimating tool that ties to your CRM, your QuickBooks, and your calendar. That integration is where the hours are saved.

How Sully Fits

Sully is not an estimating tool. It is the layer on top. The pre-built AI agents for missed-call follow-up, quote follow-up, chat trained on your company data, and a morning brief sit above whatever estimating stack you use.

When BuildFolio or QuoteIQ or Beam generates the quote, Sully watches it move through the pipeline and runs the follow-up sequence against the customer. When the customer replies, Sully triages the response and either books the next step or flags it to a human.

That means you get the best estimating tool for your trade plus a layer that captures every lead, follows up on every quote, and surfaces what matters in a morning brief. The stack is pre-built. No developer required.

OpenAI and Claude are developer toolkits. Sully is the contractor version.

Starting Moves

Pick one estimating tool that fits your trade. Run it on your next 20 quotes. Measure how long they took to build versus your old process.

If you save 30 minutes per quote and close the same rate, you have a win. If the close rate drops 10% but your volume doubles, you still have a win.

Once the estimating side is working, stack the follow-up automation. That is the 13-point close-rate lift sitting there for free.