Walk out knowing exactly what AI should — and shouldn't — do in your company.
A working session for ownership and leadership, in plain English with construction examples: what AI actually is, what it's already doing inside your estimating and project software, where it pays off, and where it bites. You leave with decisions made, not homework — policy signed, setup governed, team trained by role.
Twenty minutes. We'll ask what your crews already use and tell you where AI could actually pay off in your operation.
Leadership learns it first. Then your whole team, by role.
One engagement, in that order on purpose — when the people at the top actually understand this stuff, every decision after gets easier. The policy falls out of the session; it's the record of what you decided, not the point.
Executive Training
It starts with a working session for ownership and leadership, in plain English with construction examples — where AI actually helps (estimating, submittals, month-end), where it bites, and what to allow, ban, or turn on first. You make the calls in the room; we write them down.
- Where AI pays off in construction — and where it's still hype
- Leadership working session on allow / ban / buy
- Your decisions captured in writing before you leave the room
- How to answer the AI question on a renewal or a prequal
Setup & Governance
Then we stand up what you decided: a governed setup your admin can actually run — approved tools on, retention handled — with your AI use policy drafted against the commitments you've already signed: client NDAs, carrier agreements, owner contracts.
- Written AI use policy, drafted against your existing NDAs
- Governed tenant · retention, admin controls, approved tools
- Admin runbook for whoever owns it after we leave
- A record of what was decided, and when
General Team Training
Then the people doing the work get trained — by role, on real work from your projects, using the tools leadership approved — so the skill and the rule arrive together instead of as a memo nobody reads.
- Per-role training · field, PM, precon, finance
- Recorded library so new hires get the same training on day one
- Reference cards for what can and can't leave your walls
- Approved tools, demonstrated on your own documents
Something to point at when someone asks.
Training covers the risk — and it's also how the useful stuff actually gets adopted, instead of living in one person's browser tab.
Before: Knows the team uses AI, but couldn't say which tools or on what work — so the useful stuff stays hidden and the risky stuff stays quiet
After: Has a signed policy naming the approved tools and the banned ones — and a team using the approved ones in the open
Before: The AI question shows up for the first time on a renewal questionnaire or an owner's prequal packet
After: Answers it by attaching a document that already existed — dated before anyone asked
Before: The NDA says confidential, and nothing stops a drawing set from being pasted into a public chatbot
After: Approved tools are governed, retention is off, and the people handling that work have been trained on the line
Before: Learn what's allowed from whoever happens to sit next to them
After: Get the same recorded training and the same reference card in week one
You don't ban the crane. You certify the operator.
AI deserves the same discipline as any serious equipment on your site: inspect it, certify the people running it, log every lift. That discipline can only come from the top — and once it exists, the upside stops hiding in personal accounts.
We build it against the licensing you already hold and the commitments you've already signed, then hand it over: the policy, the tenant configuration, the runbook, and the recorded training. You own all of it when we leave, and you can amend it without calling us.
Twenty minutes. No AI hype.
Tell us what your crews already use and where you want this to go. We'll tell you what the training would cover for your company — and whether you need it yet, even if the answer is “not yet.”
Salt Lake City, Utah
Serving UT · CO · ID · NV · AZ