Find the margin.
Free the hours.

Most construction and built-environment companies know AI is coming but not where it actually pays back. That's our work: an advisory that finds where AI saves you real money, what to fix first, and what to trust, before a single system is built.

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The AI specialists who already understand your business.

Before any AI gets implemented across your company, you need to know whether it will save money, improve margins, and give your senior team time back.

Every engagement runs the same four-stage discipline. We diagnose what's actually leaking time and margin. We build the AI that fixes it. We train your team to live with it confidently. We stay close enough to make sure the systems keep working months after launch.

Diagnose.

We start with how the business actually runs. Where the senior leadership team are losing days every month to work a system should be doing. Where revenue is walking out the door because enquiries go unanswered. Where compliance risk is one step away from costing you real money. We come back with a written diagnostic of where AI saves you money, and just as importantly, where it doesn't.

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What we uncover

Where the senior leadership team are losing days a month
Where revenue is walking out because enquiries go unanswered
Where compliance gaps could lose you contracts and push insurance premiums up
Where the team is using AI in ways that risk data and reputation
Where AI will pay back fast, and where it'll waste money

Build.

We build the systems that fix the leaks we found in the diagnostic. Each one is shaped around the value at stake: senior hours returned, margin protected on every job, revenue captured before enquiries go cold, compliance handled without burning the team's time. The systems work alongside the tools your team already uses, not against them. And we sequence the work so the first system is fully in place before the second one starts.

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What we deliver

Lead response that wins work your competitors are losing
Estimating that protects margin on every job
Compliance and accreditation evidence ready before renewal threatens contracts
Safe, governed AI that protects the business from data exposure
AI that returns days a month to the senior leadership team

Train.

A system that no one in your business can confidently use is a system that doesn't pay back. We train your team inside the systems themselves, on live work and real outcomes. By the end, everyone in the business uses the AI confidently, knows how to improve it, and can spot where it should take on more. That's how AI keeps earning its place long after launch.

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What we cover

AI literacy across the senior team and commercial leads
Hands-on training inside the systems, on live work
Role-specific sessions for the senior team: sales, ops, commercial, leadership
Documentation written for the people using it
Confidence to extend the systems as the business grows

Embed.

A system that lands well and is still used six months later is the one that gets embedded with the team. We stay close after launch, watching how the system actually sits inside the day-to-day, refining what's not quite right, and adding what's missing. As the business grows, the systems grow with it: new workflows added when they're worth adding, existing ones tightened up, quarterly reviews keeping the roadmap honest. We act as the AI side of your business.

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What we maintain

Adoption support through the first ninety days, when the return is most at risk
Roadmap maintenance against your commercial cycle
Quarterly reviews so the AI moves where your business needs it next
New systems added when the business is ready to compound the return
A partner who already knows where the value sits in your business

Three engagements, taken in order.

Advisory

We map where AI pays back in your business, and where it doesn't.

What you get

Written diagnostic
Sequenced AI roadmap
If AI isn't worth it, that engagement's on us

Everyone starts here.

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.

Ongoing support

We run the AI side of your business, refining what works and adding systems as you grow.

What you get

Regular roadmap 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 that engagement is on us.

What the data says.

Wasted on rework

28%

Of project time on the average build is lost to rework. Add the 18% spent hunting for information that should be to hand, and close to half of every project's hours never move the job forward.

Procore, Future State of Construction

On the table

15%

The productivity lift available from digitising how a construction business runs, alongside 4–6% off the cost base. On a £10M operation that's £400,000–£600,000 back, every year.

McKinsey, Reinventing Construction

Almost no one

<1%

Fewer than one construction company in a hundred has AI properly embedded across operations. The ones who move first set the pace.

RICS, AI in Construction

Who's behind it.

Kristian Brown

Kristian's spent the last fifteen years in UK construction. MCIOB member. He built AI inside operating construction businesses before turning that work into Built Logic.

It's the same pattern in every company we walk into. Turnover has doubled in five years. Headcount and systems haven't kept up. Too much still funnels through senior leadership and a handful of senior people, because nothing else can carry it. Margin is leaking across departments and sites, and no one's sure where to start.

What we do is go in, find where it's leaking, and rebuild those parts of the business around AI that actually works.

Construction has been the last industry to get a proper tech upgrade and the window is narrow. The companies that move in the next two years will be on a different curve to everyone else. I'd rather it's the good operators.