Practical thinking on AI in AEC
Field notes from real pilots, tool evaluations, and the data center boom. Written for people who stamp drawings, not for the hype cycle.
Where to pilot AI first in a mid-size firm
Most firms start with the flashiest tool instead of the highest-payoff workflow. A ranked way to choose your first pilot, and the numbers to watch.
Read the article
The data center boom is an AEC opportunity
Power, land, and speed to market are reshaping the work. What the wave of data center development means for civil and MEP practices.
What AI still gets wrong about construction documents
Sheet references, revision clouds, and the quiet assumptions in every set. Where current models break, and how to work around it.
A readiness scorecard you can run in one afternoon
Twelve questions across data, tools, and people that tell you whether a pilot will stick.
Training engineers to trust, and verify, AI output
Adoption fails when review habits do not change. A verification workflow that keeps stamps safe and speeds up QA.
Submittals, RFIs, and the case for boring automation
The unglamorous processes are where the hours hide. Three automations that pay for themselves in a quarter.
Article titles and excerpts are drafts. Link them to your published pieces when ready.
The AI adoption blueprint for AEC professionals
A practical starting point: where AI fits in your practice, what to pilot first, and how to measure it. Free, straight to your inbox.
You are on the list
The blueprint is on its way to your inbox. Watch for a note from AECentric.