For leadership carrying the AI risk
Find the shadow AIbefore it costs you.
A fixed-price AI audit for construction firms. We map what your team is already pasting into ChatGPT, where customer data is leaving your systems, which contract clauses are getting AI-reviewed without a license, and the four risks every GC we've sat with has hit. You walk out with a written report and a 90-day roadmap.
Twenty minutes. We'll tell you whether an audit makes sense for your firm before we quote it.
What we audit for
Four risks every GC we've sat with has already hit.
Not theoretical risks — patterns we've seen inside real construction offices over the last twelve months. The audit names yours specifically.
01
IP & data leakage
Your PMs are pasting spec sections, vendor pricing, and customer data into ChatGPT to summarize, compare, or rewrite. That data is now in someone else's training queue. We map every place it's happening, which prompts are highest risk, and what the controlled-use alternative looks like inside your existing Microsoft or Google licensing.
02
Hallucinated cost codes & spec citations
When an LLM “helpfully” guesses a cost code mapping or invents a spec citation, you find out three pay app cycles later. We audit the workflows where AI output is already touching financial or contractual data — and flag where a human reviewer is genuinely required.
03
Contract clause review by AI without counsel
Your team is asking ChatGPT to summarize subcontracts, owner contracts, and change-order language. Some of it is fine. Some of it is creating legal exposure your GC contracts don't cover. We separate the safe uses from the risky ones, with examples.
04
Vendor lock-in & the “just use Copilot” trap
Most firms we sit with have been pitched three different AI tools in the last 90 days. We audit your current licensing (Microsoft 365, Google Workspace, vendor add-ons), the cost of locking in vs. multi-vendor, and where the “Copilot covers it” story stops being true for construction-specific data.
What you walk out with
Three documents. All yours.
Fixed-price engagement, scoped before kickoff. Discovery to delivery in about three weeks. You own everything we produce.
Document 1
Written risk report
A named-and-numbered report on what your team is actually using, where the exposure lives, and the dollar cost we estimate against each risk. Cited to your specific workflows — not generic best practices.
Document 2
90-day rollout roadmap
What to fix in the first 30, 60, and 90 days. Which tools to license. Which workflows to formalize. Which AI uses to actively allow, which to monitor, and which to shut down. Built so your CFO can read it and your IT lead can act on it.
Document 3
Team policy template
A drop-in AI use policy your firm can adopt. Covers what staff can paste into public models, what requires the enterprise tier, and the escalation path when someone hits an edge case. Drafted for construction context, not boilerplate tech.
Why this audit, by us
The construction operator's view, not the vendor's pitch deck.
We've sat inside the AI rollout conversations construction firms are having right now — what works, what blows up, what the tech sales reps leave out.
We won't tell you to buy more tools. The audit is a stand-alone engagement — it isn't a funnel into an automation build. If the right answer is “your team needs a policy and two licenses, not a vendor,” that's what we'll write.
Next Step
Twenty minutes.No fear-mongering.
Tell us what your team is already using and where you're worried. We'll tell you whether an audit makes sense — even if the answer is “you're fine, write a policy and move on.”
Direct Line
Salt Lake City, Utah
Serving UT · CO · ID · NV · AZ