Crossvine
AI governance and enablement for critical infrastructure
The Window
Construction has been slow to adopt AI. That's not a problem - it's a window.
The companies that figure out how to adopt AI safely and effectively in the next 12 months will leave everyone else behind.
The Stakes
Here's what happens to most companies:
They aren't using AI at all because they are paralyzed. Or even worse: They buy AI licenses. Excitement peaks at week three. Then 80% of users quietly stop. The tools sit unused. The investment doesn't pay off.
Why? Because nobody taught them what "good" looks like. Your best employees, the careful ones, are afraid of doing it wrong. Your reckless ones are using AI without oversight regardless.
And there's also a hidden cost: research shows that using AI on the wrong tasks makes you 19% less likely to get correct results than not using it at all.
Without smart AI guidance, you're not just behind - you're actively losing ground.
Imagine Instead
Imagine your full team using AI productively - not sneaking around with it, not working in silos, but confidently applying it to your biggest problems to compound results.
Your managers pull reports in minutes. Your estimators run scenarios they never had time for. When a new AI tool is pitched, you know it plugs into a foundation that's already working.
You're not worried about catching up. You're pulling ahead.
How We Do It
Phase 1: Governance & Alignment (The Unlock)
- Leadership alignment on where AI fits - and where it doesn't
- Clear policies your legal, risk, and security teams can stand behind
- Permission gap closed - your team knows what "yes" looks like
Phase 2: AI Fluency (The Capability Build)
- The judgment skills that separate AI success from failure
- When to trust output, how to iterate, where AI fails for your work
- Quality hours with AI to build real fluency - not tool tours forgotten in a week
Phase 3: AI Accelerators (The Payoff)
- Custom workflows that empower your team to use AI in ways that are proven to work
- Skills and guardrails that save time and increase output - not just policies that sit in a drawer
- Data and context layers that make any AI in your organization smarter and more useful