AI for concrete contractors. From the scan report to the pour schedule.

At a glance

• Who it's for: owners, presidents and operations leaders of concrete contractors, including flatwork, foundations, structural, decorative, and concrete cutting, coring and GPR scanning companies. Usually $10M+ in annual revenue and no CTO.
• What Modern Thesis does: AI strategy, change management, implementation and ongoing stewardship, from one team.
• How it starts: a strategic assessment that measures how the work moves today and ranks where AI pays first. See the assessment.
• Where: based in the Denver area, with an office at 11001 W 120th Ave, Ste 400, Broomfield, CO 80021. On site across the Denver metro and Colorado, and remote anywhere in the US.
• What it doesn't do: replace your estimating or project management software, give legal or engineering advice, or publish a rate card. Each engagement is priced to its scope after a first conversation.

What makes AI different for a concrete company?

Concrete work is schedule-critical and weather-sensitive. Pours depend on inspections, crews, pumps, ready-mix and the forecast, and a change ripples through the week. Cutting and coring companies, and the GPR scanning work that often comes before them, add a different kind of paperwork: before a slab is cut or cored, many contractors scan it to locate rebar, post-tension cables and conduit, and the findings go to the client in a report. Both sides run many short jobs with a lot of documentation.

Where does AI help?

These are examples of what can be built, not past results:

• Draft quotes from plans, site photos and your production rates, with the assumptions listed for an estimator to check.
• Keep the pour schedule current with inspections, crew availability and the weather forecast, and notify crews and suppliers when it changes.
• Turn GPR scanning field notes and photos into a consistent client report for technician review.
• Book short cutting, coring and scanning jobs from requests, with site access and safety details collected up front.
• Track job costs by pour or by job and flag overruns on labor, pump time or material.

How does AI help with GPR scan reports?

By turning field notes into a consistent report quickly. A technician marks findings on the slab and takes photos. AI can organize the photos, the marked locations and the technician's notes into the company's report format, with the limitations language you always include, for the technician to review. Reports go out the same day, and every report looks the same. Interpretation of the scan stays with the trained technician.

Does AI help with concrete scheduling?

Yes. A pour schedule depends on many moving parts, and the office often rebuilds it by phone. AI can watch inspection results, crew availability and the forecast, propose changes for a dispatcher to approve and send updates to crews, pump operators and suppliers. Fewer wasted mobilizations show up directly in job cost.

What does Modern Thesis do here?

Modern Thesis covers four disciplines with one team. In strategy, Jim Coleman and the team map how bids, jobs and paperwork move through your company. In people, we work with estimators, project managers and foremen on training and incentives, so they use what gets built. In implementation, our AI specialists and Forward Deployed Engineers build the workflows and connect them to the software you already run. In stewardship, we stay to check accuracy and report the return against the baseline.

How does an engagement start?

Every engagement starts with a strategic assessment. We sit with the people who do the work, map how it moves through the company today, and measure a baseline on the workflows that matter most: quote turnaround, report turnaround for scanning jobs, wasted mobilizations, office hours per job and job cost variance. Then we rank the opportunities by return and define the first build. If AI won't pay for itself somewhere in your business, we'll tell you.

When is something else the better choice?

If your scheduling software already handles pour schedules and crew notifications, use it fully first. An outside team earns its cost when the work crosses several systems and has to keep running on every job. Our comparison of an AI agency and an AI partner covers when a one-off build is enough.

How Modern Thesis handles this

We put AI to work inside xFusion, the 70-person company Jim co-founded, and then for several of its clients. We start where the paperwork costs you the most, and we measure it. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.