Design management is a dependency problem, not a document problem
The costly design failures are not one discipline being wrong. They are two disciplines each assuming something about the other. Where AI helps.
Blog
Notes on AI in construction
Practical, no-hype writing on automation, site reporting, data and adoption.
From Minutes Saved to Value Realised: What Automated Reporting Actually Saves
Controlled studies put the measured effect of AI between minus 19 and plus 140 per cent. Why a task saving shrinks across a job, and what to ask a supplier.
The project manager who compressed the work, not the thinking
A Wednesday morning with a revised programme, an ambiguous specification and a payment application. What to ask for, what not to, and where judgement stays.
Construction AI does not usually fail by inventing things
Hallucination gets the attention. Real project failures are failures of context: superseded revisions, missed amendments and asserted causation.
What meaningful human involvement now has to mean
Since February 2026 a decision is solely automated if no meaningful human involvement exists. A seven field matrix that makes oversight real.
Classify by consequence, not by which logo is on the screen
Enterprise tools produce wrong answers too. How to classify AI use by the consequence of being wrong and how late the error surfaces, with worked examples.
Build the register before you write the policy
A policy written without knowing what is happening governs an imaginary firm. How to run a four week AI discovery exercise and build a register people trust.
AI can read the contract. It cannot become the dutyholder
UK construction is built around named people carrying statutory duties. That architecture, not human exceptionalism, is why the professions survive.
The AI in your business that nobody procured
Most AI in a construction business arrived with no procurement, register entry or owner. Why that is a governance failure, not a discipline problem.
Construction does not have an AI adoption problem. It has a depth problem
UK construction has plenty of AI pilots and almost no AI in production. The published evidence on adoption depth, the real barriers, and where you sit.
A fourteen part syllabus on AI for UK construction
A fourteen part taught course on artificial intelligence for UK construction, running daily for two weeks. Contents, evidence base and how to work through it.
Everyone in Construction Is Talking About AI. Almost Nobody Knows Where to Start.
UK construction has plenty of AI pilots and no shared method for choosing where to start. Eight questions, a maturity map, and what the evidence shows.