01Every sector
How to choose an AI consultant for a construction business.
Seven practical tests for choosing an AI consultant who understands construction workflows, data risk, adoption and commercial payback.
Read articleInsights
There is margin hiding
in your business.
We help AI find it.
Three engagements, taken in order.
01
Strategy
We map where AI pays back in your business, and where it doesn't.
What you get
- Written diagnostic
- Sequenced build plan
- If AI isn't worth it, we refund the fee
Everyone starts here.
02
Implementation
We build the systems the diagnostic ranked, proving one in the business before the next.
What you get
- Lead response and estimating built
- Compliance evidence captured automatically
- Your team trained to run it
Once the diagnostic says AI is worth it.
03
Ongoing support
We run the AI side of your business, refining what works and adding systems as you grow.
What you get
- Regular build plan reviews
- Live systems tuned and maintained
- New systems added in sequence
Continues after launch, on a set review rhythm.
We're paid for the honest answer, not the sale. If the diagnostic concludes AI won't earn its place in your business, we say so plainly. And we refund the fee.
Frameworks
The longer arguments: on where AI earns its place.
02Every sector
Your AI strategy is missing one thing: a diagnosis.
Most AI strategy decks describe a market and recommend a backlog. The good ones argue with the buyer's business.
Read article03Contractors
Three workflows every UK built-environment business should automate first.
A pattern we keep seeing in the companies that move fastest with AI, and the order they fix things in.
Read article04Main contractors
Subcontractor compliance is a paperwork tax. Here's how AI cuts it.
RAMS, insurance docs, ConstructionLine checks, subbie vetting. Most of it is repetitive paperwork AI can do faster than a junior PM.
Read article05Every sector
Why most AI pilots fail at month two, and how to avoid it.
The cliff isn't at launch. It's eight weeks later, when the novelty wears off and the work goes back to the way it was.
Read article06Every sector
Shadow AI: the data risk inside your business that nobody's talking about.
Your team is already using AI. The question nobody's asking: what are they feeding it, and where is that data going?
Read article07Property & FM
The certificates, work orders and chasing that never stop.
Lapsed certificates, slipping work orders and finance chasing drain days every week. Here is where AI gets those hours back.
Read article08Developers
Every week a deal waits is margin you won't get back.
Slow appraisals lose sites, stalled planning burns finance, sticky sales lock up cash. Here is where AI buys the time back.
Read article09Founder-run firms
AI in construction: what the best-run companies get right.
The companies deploying AI well share a pattern, and it isn't budget or software. It's that leadership understood the workflow first.
Read article10Every sector
The skill gap is the real AI barrier, and how to close it without hiring.
You don't need an AI hire. You need a few people who know where AI helps and where it doesn't, which is about a day and a half of training, not a salary.
Read article11Every sector
The two questions every company should ask before buying AI.
Two questions, asked properly, save more wasted AI spend than any vendor demo. They aren't technical. They're business questions.
Read article12Every sector
AI and your data: a one-page policy any firm can use.
Your team is already pasting things into ChatGPT, so give them one clear page on what's allowed and what data stays out.
Read article13Every sector
The first 90 days of an AI rollout that sticks.
A realistic first 90 days: diagnose where AI pays back, build one workflow into real use, then embed, train and measure before the next.
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