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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.
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Field notes, opinions and frameworks from the engagements we run. No takes for the sake of takes. Just the stuff that's actually moved margin, recovered hours, or kept a system in use months after launch.
An illustrative blend of recovered time, avoided mistakes and won contracts
Find out your real numberFrameworks
01
Most AI strategy decks describe a market and recommend a backlog. The good ones argue with the buyer's business.
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A pattern we keep seeing in the companies that move fastest with AI — and the order they fix things in.
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RAMS, insurance docs, ConstructionLine checks, subbie vetting — most of it is repetitive paperwork AI can do faster than a junior PM.
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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.
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Your team is already using AI. The question nobody's asking: what are they feeding it, and where is that data going?
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The Houzz figure is the average. Here's where the actual pounds come from inside an established UK contractor.
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Field notes
Quick observations between the longer frameworks — what we keep noticing about AI inside real construction businesses.
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One sharp idea on where AI is moving in UK construction. One workflow worth fixing. One question worth sitting with. No pitches, no product launches, no PDFs.