You won’t be pushed into a build you don’t need.
If you know what you want, you get it priced. If you don’t, a Feasibility Study puts numbers on it before you spend.
Choosing who builds your AI automation matters more than the build.
If you’re looking at automation agencies, something’s already costing you: your best people buried in admin, bids eating the week, or jobs that stall when one key person is off. You find out which of those to fix first, get the fix built around how your team works, and keep support until your team is using it. Here’s what that looks like, and how to judge anyone you’re talking to. If you want the workflow detail, read which construction workflows to automate and how.
Not sure where you stand? Are we ready for AI?
Most builds fail after go-live, not before.
Anyone can build a demo. The test is whether your team is still using it two months later.
You still have support the month the novelty wears off.
Training and support are part of the job. A system nobody uses by week eight hasn’t earned its money, whatever the demo looked like.
You’re an established UK construction business, any size upwards.
Roughly £750k turnover and up, as a guide. Not right for sole traders or small owner-run trades. Nor if you’re happy with the margin you’re making, want software dropped in without changing how the work gets done, or won’t look honestly at where the time and money go. Better you hear that up front.
- ContractorsMain, fit-out, M&E and specialist contractors carrying delivery risk, where admin shows up in the margin and in the hours senior people lose.
- Housebuilders and developersLong programmes and cash tied up in land and build, where late cost information hurts most.
- QS and cost consultantsFee-earning teams where what you sell is chargeable time, not materials or plant.
- Surveyors, PMs and employer’s agentsBuilding surveyors, project managers and employer’s agents rebuilding the same reports and client updates on every instruction.
- Manufacturers, merchants and hire companiesQuotes, orders and account admin that grow with every customer you add.
Ask them for the sum first.
Hours a week, times what those hours cost, times the weeks in a year. That’s what the problem costs you now, and the number any build has to beat. If a provider can’t show you that before they start, walk away. Your AI Self-Assessment shows you that sum.
Common questions about choosing an AI automation partner.
Is Built Logic an AI automation agency?
Not in the usual sense. Built Logic is an AI specialist for UK construction only. You find out where the time and margin are going, then get the fix built, trained and supported. Some businesses need training, some have a clear process to improve, and some need a Feasibility Study before deciding where to spend.
How do we get started?
Most people start with Are we ready for AI?, then the AI Self-Assessment, which names three things worth fixing and where to start. Training and clear builds can be priced straight away, and the Feasibility Study is there when a decision needs more evidence. The scope, fee and information required are agreed before work starts.
Which sectors does Built Logic work with?
Established UK construction businesses. Main, fit-out, M&E and specialist contractors. Housebuilders and developers. QS and cost consultants. Building surveyors, project managers and employer’s agents. Manufacturers, merchants and hire companies.
How should we judge an AI automation provider?
Ask what they would refuse to automate, how the payback is measured from your own records, whose accounts the system is built on, who owns the outputs, and what happens in month three. A provider who answers only the build question is selling a build.
Who owns the systems you build?
Ownership, access, licences, documentation and support are set out in the proposal and agreement. You should know how the system will be maintained and what a future handover would involve.
What happens to our information?
The information, tools and access needed are agreed for the work in question. That includes your confidentiality requirements, permitted uses and who needs to approve the approach. You do not need to share confidential files or provide system access for an initial conversation.
We tried AI and it didn’t stick. Why is this different?
Usually that’s a tool bought with nothing behind it, no workflow and nobody owning it. The starting point is the job it has to do, proven to pay before anything gets built.