construction · leads, quotes, documents

An inquiry for a house came in at seven in the evening. The manager was on site. The client signed with someone else

In construction, the sale doesn't go to whoever builds better — it goes to whoever replies with substance first and sends a number first. While your surveyor is still in the car and your estimator is on day two of the calculation, the client has already collected three proposals. AI removes exactly that gap: it replies to inquiries within a minute, gathers project parameters, books a site visit, drafts a standard quote from your templates, and rolls foreman reports from chats into one table. Automation roadmap — ₽0.

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Case: lead loss before first contact: from 60% to 15%
Sales team oversight: from 10 hours to 30 minutes a week
Automation roadmap: ₽0, 14 days, no obligations

construction · leads, quotes, documents — AI implementation diagram

01Sound familiar?

You pay for leads and process them in whatever time is left over from the site

An inquiry for a home renovation drops in at seven in the evening. The manager is on a site visit across town at that exact moment, hands full of a tape measure, phone in a pocket. He'll call back tomorrow around eleven — and hear: "Thanks, we've already picked someone." No report will ever show you that inquiry was hot: in the CRM, it just stays a line that says "no answer."

Then a second funnel of losses kicks in: the quote. The client asks for a number, the estimator grabs a template, digs through a supplier's price list, confirms square footage over chat, tries to remember what got left out of the scope last time. Two days — and that's a normal turnaround in peak season. In two days, someone choosing a contractor for a five-million-ruble job has already gotten two other quotes and compared them. Yours arrives third, and by then nobody's interested.

In parallel, you're losing visibility into active sites. Foremen report in voice messages and photos across different chats — some in WhatsApp, some in Telegram, some a call straight to you at ten at night. To understand the status of eight sites, you have to scroll through eight conversations and piece it together in your head. Once a week that eats an entire evening, and something still surfaces late — already costing money.

And underneath all of it, a third layer: documents. Construction contracts, change orders, supplier invoices and certificates, PDF specifications. All of it gets checked on the run, between a call and a site visit, and sooner or later someone signs a change order where the timeline doesn't match the schedule and the volumes don't match the quote.

02The cost of inaction

How much are you losing while you read this page

Don't calculate the cost of implementation — calculate the cost of the stretch where inquiries wait until someone's free. In construction that's the most expensive arithmetic on the market: the ticket is large, the cycle is long, and the client decides within the first forty-eight hours. Plug in your own numbers — see what an evening inquiry answered the next morning actually costs you.

Inquiries per day 30

Lost before a reply 50%

Average order value 70,000 ₽

Lost revenue per month — per year — —

A rough estimate based on your inputs — we calculate exact numbers on a free consultation.

Get this money back

03How it will look

Your day in peak season, when the inbound flow doesn't depend on your schedule

Eight in the morning, you're driving to a site and open your phone. Fourteen inquiries came in overnight. AI replied to each within a minute, asking exactly what a manager would ask: city and site address, type of work, square footage, how far along the project is, timeline, and a rough budget. It filtered out four right away — wrong region, wrong format. Ten records sit in the CRM already filled in, six people are booked into open crew slots for a site visit, and drafts of a standard quote from your template are ready for two more — all that's left is to check the numbers and send. Below that, on the same screen — a summary across eight active sites, pulled from foreman chats: where there was progress yesterday, where it's been quiet for two days, where materials are being requested. You arrive on site already knowing all of it, instead of finding out on the way. In the evening you don't sit down to sort through messages — because there's nothing to sort through.

Now

Inquiry in the evening or on a weekendreply next business day, client already picked someone

Quote preparationestimator assembles it by hand, a day and a half to two days

Site reportsvoice messages and photos across five different chats

Incoming documentscontracts and change orders read on the run

With AI

Inquiry in the evening or on a weekendreply in a minute, project parameters gathered, site visit booked

Quote preparationdraft from your template in minutes, a human just checks it

Site reportsa summary across all sites in one table every morning

Incoming documentsbroken into fields, mismatches with the quote flagged

04How it works

Three steps, and you don't write a single line of code

01 · Step 1 · 14 days, ₽0
Automation roadmap
We walk your path from ad click to signed completion certificate and flag where money is being lost: how many inquiries arrive outside business hours, how much time goes into calculations, how many times the same data gets copied by hand between the quote, the CRM, and the contract. We show on paper which areas AI will close completely, which only halfway, and where it would just be an expensive toy. Design work and structural calculations aren't on this list — that's your engineers' job, and we don't touch it.
02 · Step 2 · pilot
One scenario on live traffic
We take the highest-value area — usually inquiry intake and site-visit booking — and launch on it. We connect telephony, your website, and messengers, load the knowledge base with your services, service area, common questions, and boundaries: where AI answers on its own, and where it brings in a human right away. It never quotes a price blind. We lock in the metric before launch so there's something to compare the result against, and you read every conversation.
03 · Step 3 · full loop
Documents, sites, and sales oversight
We connect adjacent areas: drafting a standard quote from your templates, parsing incoming contracts and invoices into fields, a daily site summary from foreman chats, reviewing 100% of sales calls against your checklist. We retrain on accumulated conversations, adjust playbooks for the season, and keep monitoring errors. From there you look at the summary instead of piecing the picture back together.

05Proof

Inquiries came in around the clock, but got talked to Monday to Friday, nine to six

Edemium case study · consumer bankruptcy

A bankruptcy inquiry comes in at midnight. A renovation inquiry comes in at seven on a Friday evening. The mechanics of the loss are the same in both cases: a person looks for a contractor exactly when the contractor's workday has ended.

A law firm handling personal bankruptcy cases. Different niche, but the same arithmetic as yours: an expensive lead, a long decision, and a person searching for a contractor in the evening — when there's nobody left in the office.

The flow of ad-driven inquiries was steady, cost per lead was known and tolerable, and roughly one in seven inquiries turned into a signed contract. The problem wasn't sales — it was the time of day. By morning the person had already messaged three other places, and whoever answered first got the conversation. From the outside it looked like "poor sales conversion." In reality, sixty percent of leads were lost before the first live contact.

The owner was skeptical of the idea, and for good reason: the topic is sensitive, and a wrong answer costs reputation. The condition he set was strict — AI answers only from an approved knowledge base, anything outside it goes straight to a human, and he personally reads every conversation for the first two weeks.

We built a scenario that ran the entire chain: it took inquiries at any hour, gave a substantive answer within thirty seconds, gathered the details of the person's situation, created the CRM record with fields filled in, assigned a task to the lawyer, and booked the person into an open consultation slot. Complex inquiries it handed off to a live specialist along with a ready-made summary of the conversation.

After two weeks, the owner dropped the daily oversight on his own. Lead loss before first contact fell from sixty percent to fifteen. Conversion to payment rose from fifteen to thirty-five percent — not because the machine sells better, but because the lawyer was now reaching people who'd already had a substantive conversation. Additional revenue came out to about three million rubles a month, on the same ad budget.

"I was afraid a robot would be talking to people in a hard situation. Turns out the worse problem was that nobody was talking to them at all until morning."

This is a real case; the company's name is withheld under NDA. It's not from the construction industry — we're citing it because the automated area is the same: intake outside business hours, qualification, and booking a meeting. Your numbers depend on your current response speed, traffic quality, and the season.

I want the same

06While you're thinking it over

What happens while implementation gets pushed to the end of the season

Nothing dramatic — and that's the whole problem. Inquiries don't vanish with a bang, they just stop replying to the second message. Your estimator doesn't complain about a two-day calculation — he considers it a normal turnaround. A foreman doesn't report that a site has stalled — he mentions it a week later, once you already have to pay for the downtime. A report will never show a line that says "lost due to slow response": a customer who left leaves no trace anywhere except your competitor's revenue. Meanwhile, an inquiry for a renovation or a house gets more expensive every season, and the season is short: whatever doesn't sell between April and October doesn't sell at all. Companies in your niche don't split apart over quality of work — they split over how fast they process traffic they've already paid for. And "by the end of the season" is exactly the stretch where the gap builds up.

07I know what you're thinking

Honest answers to the biggest doubts

Every one of our sites is unique — AI won't get it

What's unique is the calculation, not the conversation. The first contact with a client is 90% the same questions every time: where's the site, what kind of work, what's the square footage, what stage is the project at, when do they want to start, is there a design already. That's exactly what AI gathers, so a human shows up to the site visit already prepared. It doesn't calculate structural work, loads, or engineering decisions — that's your engineers' job, and we don't pretend it can be handed to a machine. The boundary gets documented in writing at the automation-roadmap stage.

It'll quote a price to the client, and we'll be the ones dealing with the fallout

The authority to quote a price isn't given to AI at all — that's a hard rule, not a setting. It gathers the details and says honestly: exact pricing after the site visit. A standard quote is drafted from your template and your price list, and it only goes to the client after a human has checked it. No number leaves the company without a responsible person's sign-off.

The client will realize they're talking to a robot and leave

People don't leave because of a robot — they leave because of a useless conversation. We don't pass the machine off as a manager: it introduces itself as an assistant and says upfront that it'll bring in a specialist. In practice, what irritates a client isn't the auto-reply — it's "a manager will call you back tomorrow" and having to explain their project for the third time. In the bankruptcy case, the topic was about as sensitive as it gets, and that's exactly where a thirty-second reply beat a human one twelve hours later.

Foremen won't fill anything in — they don't even open the CRM

They don't need to. The summary is built from what they already write: voice messages, photos, and messages in their work chats. Crews don't have to change any habits — AI reads the chat and sorts it by site: what got done, what's being requested, where there's been no activity for two days. That's exactly why this scenario tends to take hold more easily than the others: it requires zero new actions from people on site.

It's expensive, and our revenue is seasonal with money tied up in the pipeline

That's exactly why we start with the math, not the budget. The automation roadmap is free and ends with a number: how many inquiries you're losing outside business hours and what that costs in rubles over a season. If the number is smaller than the cost of the pilot, we'll say so directly and won't take the project. A pilot from ₽90,000 is one scenario, not an overhaul of the whole company, and it launches before you decide on full implementation.

Everything's in notebooks and chats — we need to get organized first

You don't need perfect order, just a minimum: a place where inquiries actually live, and material for a knowledge base — price list, service area, list of services, common client questions. If inquiries aren't tracked anywhere, you need basic record-keeping first, otherwise there's nothing to work with and no way to measure results. More often the situation is different: the CRM exists, it's just filled in sloppily — and AI ends up filling in fields more consistently than people do.

✓

A risk-free pilot for you

We launch a pilot in 2 weeks. You set the success metric yourself. If you don't see results on it, we refund the pilot. The risk is on us, not you.

08Cost

What it costs to stop losing evening inquiries

A manager handling inbound: salary and taxes every month, eight hours a day, half the day out at sites and viewings — and that's exactly when half your inquiries come in. AI replies at seven in the evening, on a Saturday, and in peak season the same way every time: gathers project parameters, books a site visit into an open slot, and leaves the CRM record filled in.

Consultation

0 ₽Process review + ROI estimate

Funnel review and loss points
Lost revenue calculated in rubles
An honest read on where AI will pay off

Get it free

StartScenario pilot

from 90,000 ₽Payback in 2–4 months

from ₽90,000 — pilot: one scenario on live traffic, integration with telephony, your website, and messengers, a knowledge base built from your services and pricing, escalation rules to a human. Launches in two weeks, metric locked in before launch.

Launch a pilot

Turnkey

Custom quoteFull stack + ongoing support

from ₽250,000 — full implementation: connected scenarios across multiple areas (leads and site visits, standard quotes, incoming document parsing, site summaries, call oversight), integration with your CRM and accounting, retraining on accumulated conversations, and ongoing management with error monitoring.

Discuss your project

09FAQ

FAQ on AI for construction companies

What exactly does AI do in a construction company?

Six working areas. First — intake and qualification of inquiries from the website, ads, and messengers: a reply within a minute at any hour, gathering project parameters, booking a site visit into an open slot. Second — drafting a standard commercial quote from your templates and price list, so a human checks the numbers instead of assembling the document from scratch. Third — parsing incoming documents: contracts, addenda, invoices, and specifications get broken down into fields, with discrepancies in timelines and volumes flagged. Fourth — a daily site summary from foreman chats. Fifth — reviewing 100% of sales calls against your checklist. Sixth — winning back clients who went quiet after a site visit. Design work and structural/load calculations aren't part of this — that's engineers' work, and we don't take it on.

How much does AI implementation cost for a construction company?

Automation roadmap — ₽0 and 14 days: we break down the process from inquiry to signed completion certificate and calculate what's being lost in rubles. Pilot — from ₽90,000: one scenario on live traffic with telephony and CRM integration. Full implementation — from ₽250,000, after that it depends on the number of areas and connected systems, not the amount of code. We calculate ROI before you pay: we take your current response speed, share of lost inquiries, and average order value, estimate a realistic uplift, and compare it against the budget. If the math doesn't work out, we say so upfront.

Can AI calculate a cost estimate?

A full project cost estimate — no, and we won't promise that. An estimate depends on the design, assemblies, materials, and your internal pricing base — that needs an estimator. What AI does for real: gathers project input data in structured form, drafts a standard commercial quote from your templates and price list for standard work, and plugs in rates and timelines from your own database. An estimator then checks and adjusts it. This cuts quote turnaround from two days to a few hours, while complex projects are still calculated by hand, same as before.

How does AI help control the sales team?

It listens to every call, not a sample. Against your checklist, it reviews each conversation: did the manager identify the need, name the next step, book a site visit, what did they promise on timeline and price. Management gets a morning summary: which deals are at risk, where a manager drifted from the script, which objections come up most often. For an industrial equipment seller, this review cut call oversight from 10 hours to 30 minutes a week, and conversion rose 27% over two months. In construction the effect is the same: a site visit is expensive, and it matters to understand why the client didn't come back after one.

What about foreman reports — they're sent as voice messages?

Voice messages get transcribed, photos get captioned, and the text gets sorted by site. The output is a table or a summary in the manager's chat: per-site status, what was done today, what materials are being requested, where there's been no activity for two days. Foremen don't need to change anything — they keep writing the way they always have, in the same chat. That's exactly why this scenario takes hold easily — it doesn't require a single new action from people on site.

How long does implementation take, and what do you need from us?

The automation roadmap takes 14 days; the pilot launches roughly two weeks after the scenario is agreed. What we need from you is minimal: access to your CRM and telephony, materials for the knowledge base (services, service area, price list, common client questions), and one person on your side who can answer process questions. In total that's a few hours of your time at the start. You don't write code or buy servers.

What about data security — we have contracts and client prices?

We work under NDA and process data in accordance with Russian data-protection law (152-FZ). For sensitive workflows we deploy the solution so documents and correspondence don't go to foreign services: system access is granted on a minimum-necessary basis, and every action is logged. What exactly gets shared and where is documented in writing before the pilot starts — so there are no "where are our contracts stored" questions after launch.

How do we know it's too early for us for AI?

Three signs. Fewer than a couple dozen inquiries a month, and they all go through you personally — the savings won't cover implementation. There's no single place where inquiries are logged, everything's in personal phones — you need basic record-keeping first. You can't name the one number that's supposed to grow — meaning there'll be nothing to prove the result with. If at least two of these apply, it's more honest to first get the process in order and hold off on implementation. We'll tell you this on the free consultation — not after we've taken your money for a pilot.

Be the construction company in town that the client actually gets through to first

This part of the construction market is barely touched. Your competitors in the search results are pouring money into traffic and crews, while the stretch between inquiry and site visit looks the same for everyone: a person with a phone in their jacket pocket. The difference between you and a competitor this coming season won't be in the models or the contractors — it'll be in how many minutes pass between "send" and a substantive reply. While a competitor is still deciding whether to try AI, an evening inquiry of yours is already turning into a booked site visit by morning. It won't give you an instant revenue spike — it removes the losses you don't currently see in your reports, because a client who left leaves no trace anywhere. We cover how this works technically in more detail on the AI agents page, and adjacent scenarios on the sales automation and call review pages.

I want to be first in my niche

10Connection point

Let's break down your process from inquiry to completion, for free

14 days, ₽0, no obligations. We look at how many inquiries come in outside business hours and what happens to them, how much time goes into quotes, how site reports get compiled. We show on paper: which areas AI will close completely, which only halfway, and what's worth fixing by hand before any automation. If it's too early to implement, we'll say so directly. From there, it's your call.

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