AI, without the snake oil
You've heard the pitch at every conference, board meeting, and golf game. Most of it is sold by people who have never closed out a project. Here's what's actually true about AI in construction right now.
In the 1890s, factories swapped their steam engines for electric motors and saw nothing for 30 years. The productivity didn't show up until they tore down the floor and rebuilt around the new technology.
Right now, every contractor's office has the electric motor. ChatGPT on someone's laptop. Copilot in Excel. Almost nobody has rebuilt the floor.
That gap is where the money is.
The honest ledger
Genuinely good at, today
- +Drafting dailies, weeklies, and progress claims from what your team already captures
- +Finding the right document, email, or decision across years of project records in seconds
- +Answering questions like "what was the scope as of the last RFI on the mechanical package"
- +Keeping knowledge in the firm when the person who had it retires or moves on
- +First-pass cleanup of messy, inconsistent project data
Not good at, whatever the vendor says
- −Replacing the judgment of your estimators, PMs, or superintendents
- −Running anything unsupervised that touches money or contracts
- −Fixing a broken process by sitting on top of it
- −Any pitch that quotes an ROI percentage before seeing your operation
- −Anything sold as a platform your whole company must move onto by Q3
The ChatGPT trap
"My team already uses ChatGPT" usually means one PM has a browser tab open. That's individual AI: useful to that person, invisible to the firm, and gone when they leave.
Institutional AI is different. It's wired to your actual project data, it accumulates knowledge from every job instead of starting from zero, and the whole team can query it. ChatGPT doesn't know what's in your bid tabs. A system built for your firm does.
How Infractem runs an adoption
Workflows, not tools
We build the workflow; the AI models underneath keep improving on their own. Think Excel: it updates constantly, your spreadsheet keeps working. Same principle, so you're never locked to one vendor's model.
One workflow first
No company-wide transformation program. We start with 1 painful workflow, prove it on a live project, and grow from what works. Trust is built in weeks, not roadmaps.
A straight no when it's a no
If a better template fixes it cheaper, that's what we'll tell you. The fastest way to burn trust in AI is to use it where it doesn't belong.
Bring your AI question. You'll get an answer from someone who speaks construction first, technology second.
Talk to Jared