Contractors are the business we know best. CAS-TX grew out of the trades, and most of the software we ship (BidLark, SiteScribe, CrewClock, CrewBooks) exists because of a frustration on a job site somewhere between El Paso and Midland.

So here is a practical list: seven tasks a contracting or oilfield-services company can hand to AI this quarter, in rough order of payoff. None of them require a data scientist. All of them are things we have watched work.

1. Device counts and takeoffs from drawings

Counting receptacles, cameras, data drops or fixtures off a plan set is slow, boring, and the single biggest source of estimating error. AI vision models can now tile a sheet, count symbols against the legend and hand back a list the estimator reviews rather than creates. This is what the takeoff engine inside BidLark does. Expect the review to take a fifth of the time the count used to.

2. Scope of work and bill of materials from a site walk

Walk the job, talk through what you see, get a priced bill of materials matched to your catalog. That’s SiteScribe, and it is open source. Even without it, a phone recording plus a good prompt turns a rambling walkthrough into a clean scope draft in a minute.

3. Field tickets and receipts into billing

In the Basin, a water-hauling or roustabout company can generate hundreds of paper or photo tickets a week. AI reads them, extracts the job, hours, quantities and signatures, and matches them to the invoice. The office stops retyping and starts checking exceptions.

4. Daily logs, RFIs and submittal summaries

Superintendents hate paperwork and owners need it. A voice note at the end of the day becomes a formatted daily log. A 40-page submittal becomes a one-paragraph summary with the three things that changed. Nothing is signed by the machine; the human still approves. The hours come back anyway.

5. Answering the phone

Most contractor phones ring with the same five questions: are you open, can someone come out, where’s my tech, can I get a quote, can I pay my bill. An AI receptionist answers those in English or Spanish, books the callback and transfers anything else to a person. Our open-source Peal phone system does this on hardware you own, so no per-seat bills.

6. Safety and compliance documentation

JSAs, toolbox talks, OSHA 300 logs, certified payroll. AI drafts from your templates and your job data, flags missing items, and keeps the records searchable. In the Permian especially, the operator audits are not getting lighter. CrewClock generates WH-347 certified payroll from geofenced punches for exactly this reason.

7. Collections and customer follow-up

“Your invoice is 15 days past due” is a message a machine should write and a person should decide to send. AI drafts the reminder in the right tone, pulls the invoice detail, and queues it for a click. Aging drops because the follow-up actually happens.

What to do first

Don’t do all seven. Pick the one that sits at your bottleneck, the step where work piles up today. For most contractors that is estimating (tasks 1 and 2) or billing (tasks 3 and 7). If you aren’t sure, read how to find the bottleneck first.

Then set two guardrails before anyone turns anything on: a one-page rule about what customer and employee data can go into which tool, and the habit of a human checking every AI output that leaves the building. Those two things prevent almost every horror story you have read.

We run this exact exercise on-site for contractors in El Paso, Midland–Odessa, Las Cruces and across New Mexico, and Tucson. If you want a shortlist built around your crews and your software, reach out.