An AI sales agent for construction companies
that qualifies a project before it reaches an estimator
A renovation or construction lead that writes on WhatsApp or Instagram at 9 p.m. usually waits until morning for a reply, by which point they have messaged two other contractors. We build an agent that qualifies the project, gives an honest rough range, and books a site visit straight to your estimator's calendar.
The problem in construction and renovation companies
A construction or renovation lead who messages on WhatsApp or Instagram in the evening usually gets a reply the next business day, if the message does not get buried first. Industry benchmarks for home services and contracting put first-response time at several hours on average, and a homeowner comparing contractors typically messages several at once, going with whoever responds clearly and quickly, not necessarily the best fit for the job.
The second problem is unqualified site visits. An estimator’s calendar fills with visits for projects that turn out to be well below the company’s minimum scope, outside the service area, or for a budget nowhere near what the work actually costs, because nobody asked the basic questions before booking the visit. Every wasted visit is time an estimator could have spent on a project that would actually close.
The third is inconsistent rough estimating. One salesperson gives a cautious range over the phone, another promises something closer to the low end just to get the visit booked, and the gap between the rough number and the eventual quote erodes trust before the estimator even arrives.
A fourth, seasonal problem is volume concentration around certain months, when inbound messages cluster and the same small sales team that handles quiet months suddenly cannot keep up, so leads that would have converted in a slower month go cold simply from being late in the queue.
What we build for construction and renovation companies
An agent that reads every inbound message across WhatsApp, Instagram Direct, Telegram and your site chat, and asks the same qualifying questions on every lead: project type, rough budget range, timeline, location relative to your service area. The answers get written straight into your CRM with source and campaign attached, so the pipeline starts clean.
The agent gives a rough estimate range built from your real pricing data and past project history, not a guess, explicitly framed as pending a site visit rather than a firm quote. Once a lead is qualified and the range makes sense for both sides, it books a site visit directly against your estimator’s calendar, sending a confirmation and reminder. Anything that needs judgment, an unusual scope, a negotiation, gets routed to a human with the full conversation attached.
Typical integrations: amoCRM, HubSpot or a Google Sheets pipeline for smaller companies, Google Calendar or your scheduling tool for site visits, WhatsApp Business API, Telegram Bot API and Instagram Messaging API for the channels, and your pricing sheet or past-project data as the source for rough estimate ranges.
For companies that handle both small repair jobs and larger renovation contracts, the agent can route differently by project size, so a quick repair inquiry does not consume the same estimator time as a full kitchen renovation, and the estimator’s calendar reflects the actual mix of work rather than whoever messaged first.
The same agent can follow up automatically on a lead who was qualified but never booked a visit, a homeowner who asked for a rough range and then went quiet, on a schedule your sales team sets. A polite nudge a few days later recovers a share of leads that were simply busy, not lost, without anyone on your team having to remember who to chase.
How it works in 4 to 6 weeks
- Audit of the sales flow. We sit with your sales team or estimators, read a sample of real conversations, and map where leads are lost or mis-qualified today.
- Playbook. Qualification questions, estimate ranges by project type, what the agent may and may not promise, and escalation rules, written with your team and reviewed before any code.
- Build and connect. The agent is built against your real pricing data and CRM, tested on recorded real conversations first.
- Launch with guards. Rate limits per channel to avoid platform bans, a human review queue for anything outside standard scope, full conversation logging.
- Tuning. Two to four weeks of reviewing real conversations with your estimators and adjusting the script.
What it costs
| Package | Price | What it covers | Timeline |
|---|---|---|---|
| Assistant | from $1,500 | One channel, FAQ and basic project intake, hand-off to a human | 2 to 3 weeks |
| Sales agent | from $4,000 | Multi-channel, qualification, estimate ranges, CRM writes, visit booking | 4 to 6 weeks |
| Agent team | from $10,000 | Sales agent plus a sales monitor and routing between estimators | 6 to 10 weeks |
Running cost is separate and usually $20 to $200 a month in model usage depending on lead volume, with a hard budget cap set before launch.
Typical results
Industry benchmarks for home services and contracting put first-response time among the strongest levers on whether a lead ever books a visit at all, and companies that cut response time from hours to under a minute typically see booked site visits rise in the range of 20 to 40 percent, while consistent qualification usually raises the share of visits that are a realistic match for the company’s minimum scope and service area. These are typical ranges reported across the vertical, not a promise, because project type, market and lead quality all move the number. Our own numbers are in the case studies linked below: a B2B playbook-driven outreach and inbox agent with objection handling is detailed in the certification body AI sales agent case study, and a seven-channel multi-channel agent with qualification and upsell logic built for another business is in the AI sales agent case study.
Why Senator Media
We build these agents the way we built our own: a closed list of tools, pricing checked against your real data on every answer, and a human approving anything outside standard scope. The price is fixed once the plan is agreed, you get a working demo every week during the build, and the source code and CRM access stay in your name.
If your real bottleneck is that estimators are stretched too thin regardless of lead quality, we will say so, since better qualification helps less when the downstream team cannot absorb even the well-matched leads.
If leads for your company sit unanswered overnight or your estimator’s calendar fills with projects that were never a fit, pair this agent with a lead-generation site on the website for construction companies page. See the full package breakdown on the AI agents service page, or get a written plan with a fixed price for your company.
FAQ
How much does an AI sales agent for a construction company cost?
Our Sales agent package starts at $4,000: multi-channel intake, qualification, rough estimate ranges, CRM writes, site visit booking, live in 4 to 6 weeks. A single-channel FAQ assistant without estimate ranges starts at $1,500.
Will it quote a wrong price or promise a timeline you cannot meet?
It gives a rough range built from your real pricing data and project history, framed explicitly as an estimate pending a site visit, never a firm quote. A firm price always comes from an estimator after seeing the project.
Which messengers does it support?
WhatsApp, Instagram Direct, Telegram and your site's chat widget, from one playbook. We add other channels when your lead sources call for it.
How does it qualify a lead before booking a visit?
Project type, rough budget range, timeline and location, the same questions a good salesperson asks first, so your estimator's calendar fills with projects that are actually a fit rather than every inbound message.
Does it work with our CRM or scheduling tool?
We integrate with amoCRM, HubSpot, Google Sheets and most CRMs with an API or a reliable export, plus Google Calendar or your scheduling tool for site visits.
Can it work in multiple languages if our market has diverse clients?
Yes. The agent answers in the language the lead writes in, and we build in whichever languages your market needs.