AI Estimate and Intake Assistant for Texas Contractors

From “need a quote on my roof” to a scope someone can price

“Need a quote on my roof.” “How much for a fence?” “AC not working, want a new one.” That is what a typical estimate request looks like when it lands. Everything an estimator actually needs to know is missing, so the first conversation becomes an interview conducted through phone tag, and the first site visit sometimes reveals that the job was never a fit.

Every contractor has a version of the wasted drive: the roof that needed a small repair rather than a replacement, the pool backyard with no equipment access, the kitchen remodel where the homeowner had not yet talked to the HOA, the solar lead who rents the house. None of those facts were secret. Nobody asked for them before the appointment was set.

An estimate and intake assistant is a conversational form that asks those questions at the moment the customer is most motivated to answer them: right after they decided to reach out. Unlike a static web form, it adapts. Say the roof is metal and it skips the shingle questions. Mention an open insurance claim and it asks for the carrier and adjuster. Say there is an active leak and it switches to an urgent path instead of asking about color preferences. It stops once it has enough, and whatever it could not collect is marked as missing rather than quietly dropped.

It is not the same job as a quote-request chatbot that captures contact details, or a lead qualification bot that decides whether someone is worth a call. Intake assumes the request is real and focuses on one thing: giving the person who prices the work a complete, organized picture.

What the assistant asks, trade by trade

Generic intake produces generic packets. The questions that change a price differ sharply between trades, and so do the photos worth requesting. Here is the starting set we adapt with each contractor:

Texas specifics get built into the wording. Slab foundations dominate much of the Houston area, while older homes elsewhere often sit on pier-and-beam, and that difference reshapes a plumbing estimate. For solar, whether the home is served by a municipal utility such as Austin Energy or CPS Energy, a co-op, or a retail electric provider affects what the estimator has to check, so the assistant asks rather than assumes. Security and low-voltage contractors, property managers and real estate teams each get their own sets too, built around camera counts and existing wiring, unit counts and recurring work, or listing and closing timelines.

Getting photos an estimator can actually price from

“Upload photos” on a form yields a blurry close-up of one shingle and a picture of the family dog. Guided photo intake works better because it asks for one shot at a time, explains why, and shows what a good example looks like: “Stand back far enough to see the whole back slope, from the yard if you can.” The assistant checks each image for the obvious problems, such as too dark, too close or the wrong subject, and asks for a retake before moving on.

Photos of equipment labels pull extra weight. From a picture of an outdoor unit’s data plate or a water heater sticker, the assistant can read the brand, model and serial text into the packet, so your team can look up age and capacity before the visit. We treat that reading as a transcription for a person to confirm, not a verdict, because a glare-covered label is easy to misread.

Three rules protect the customer and you:

• Nobody climbs. The assistant never asks a homeowner onto a roof or a ladder. Roof photos are taken from the ground or skipped.
• Panel doors, not panel covers. For electrical work it asks for a photo with the panel door open, and explicitly tells the customer not to remove the cover.
• Homes, not people. Prompts ask for rooms and equipment, and photo location data can be stripped before storage if you prefer; the address is already on the request.

A customer who cannot or will not send photos is not turned away. The packet simply notes that photos are missing so the estimator plans a longer visit.

No number, a rules-based range, or options: where the assistant stops

The biggest decision in intake design is whether the customer sees any price before a person gets involved. There are three workable positions, and the right one depends on how predictable your jobs are.

No number at all

The assistant collects scope and books or requests the visit. This is the safe default for remodels, custom homes, additions and anything where hidden conditions drive the cost. The customer is told honestly that pricing comes after the site visit and why.

A range from your own rules

Some work prices from a few inputs: fence by linear footage and material, flooring by area and product tier, a like-for-like water heater swap by type and location. If you already price that way, you give us the rules, and ordinary code, not the language model, calculates a range from the customer’s answers. The range always travels with its written assumptions, and it says in plain words that the final price follows an on-site look.

Options without figures

For trades where customers struggle to describe what they want, the assistant presents repair versus replace, or standard versus upgraded material, as plain-language choices without numbers. The customer’s preference goes into the packet and shapes the estimate.

One line is never crossed: the AI does not produce prices from its general knowledge. Figures it absorbed from the internet reflect other markets, other years and other margins, and a number shown to a customer becomes an expectation your estimator inherits. Whatever the customer was shown, including “no price given,” is recorded in the packet so nobody walks into the visit blind.

What lands on the estimator’s desk

The point of all this is a packet that someone can read in a minute and trust. Ours contain, in this order:

1. Contact details and the service address, with a service-area check already run.
2. A two-sentence summary of the project in plain language.
3. The trade-specific answers as structured fields, with customer-supplied measurements labeled “customer estimate.”
4. Photos, each labeled with what it was meant to show.
5. Flags: HOA approval pending, insurance claim open, permit likely, tight access, pets on site, urgency.
6. What the customer was told about price, if anything.
7. The full transcript in the customer’s own words.
8. A suggested visit length and the right person to send.
9. A short list of what is still missing.

Illustrative example, not a real job: Cedar privacy fence replacement, roughly 160 linear feet by the customer’s own estimate, two walk gates and one drive gate. Several existing posts are leaning. HOA approval not yet requested. Large dog in the yard. Customer wants it done before a family event and was told no price until the site visit. Missing: property survey.

Packets go where your team already works: as fields in your CRM or estimating software through our AI integration work, as a PDF by email, or as a row in a shared sheet if that is how the office runs. Partial intakes, from people who shared an address and phone number but quit before photos, are saved too. They are still leads, and they are exactly the people a follow-up message should reach.

Intake mistakes we design against

• The interrogation. Thirty required questions in a row and people leave. We keep a short required core, make the depth optional, and let anyone skip a question; the packet notes the gap.
• Treating guesses as measurements. Homeowners estimate square footage and fence length loosely. The assistant labels these, and your estimator measures.
• A budget question that insults people. Asking “what’s your budget?” cold feels like a trap. We phrase it as a range choice with a “not sure yet” answer that carries no penalty.
• Packets nobody opens. A beautiful summary dropped into a shared inbox dies there. Every packet gets an owner and a notification.
• One language only. The assistant can run intake in Spanish, and the packet reaches your estimator in English with the original transcript attached.
• Silent errors. If a photo upload or a system connection fails, the assistant says so and captures the request another way instead of pretending it worked.

Most of these are not AI problems at all. They are form-design problems that an assistant makes more visible, and fixing them is where much of the value sits.

How EVOTECH sets up an intake assistant

We start with the person who writes your estimates. In a free consultation over phone or video, we walk through several recent estimates together and ask the same questions each time: which facts did you need, which did you have to chase, and which surprised you on site. That conversation produces the first draft of the question set far faster than any template.

From there the work runs in a fixed order. We settle the pricing position, whether no number, a rules-based range or options, and write down any rules you supply. We check your website platform and your CRM or estimating tools for a usable connection. We draft the questions and photo prompts, you mark them up, and we build. Testing replays anonymized past requests through the assistant to see whether the packets it produces would have prevented the wasted trips you remember. Launch starts on your estimate-request page, and the first stretch of packets gets reviewed with your estimator so the questions can be tightened.

The scope and deliverables are set out in a fixed written quote before work begins, with no open-ended billing. We work from the Houston area with contractors anywhere in the country, using phone, video and screen share. EVOTECH has more than 20 years in business behind it and holds a 5.0 rating on Google. If the assistant needs a custom estimating view or a new form flow on your site, that work falls under our AI development and web design services.

Estimate and intake assistant pages for every trade and Texas city

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