Two questions come up in every first conversation, and almost nobody gets a straight answer to either. What is this going to cost me, and will I get it back. Vendors dodge the first because the honest answer is "it depends", and they dodge the second because they have no idea what your hours are worth.
One thing first, so you know where you stand. Built Logic has no case studies to show you. Every number is either from a named public source with a link, or a worked example with the assumptions written out. Nothing here is a client result, and nothing here is our price list.
How much does AI implementation cost for a construction firm?
The only public UK figures worth quoting are all-sector and five years old: a government study put average spend on AI technologies at £9,500 per small business and £380,000 per medium business, with associated labour spend of £24,400 and £1.7 million respectively, averaged across the businesses that had already adopted AI. That is a fortyfold gap between small and medium, which tells you there is no market price for this and that anyone quoting one before they have looked at your systems is guessing.
Two things to hold in mind about those numbers. They cover AI technology spend across every sector, among AI adopters only, not the cost of a scoped implementation project in construction, and the data year is 2020. Use them as evidence that the spread is enormous, not as a quote.
What sets your number is how many workflows you are fixing, how many systems those workflows touch, and what state your data is in. Those three vary more between two similar contractors than most people expect.
Sourced: AI activity in UK businesses, executive summary, Capital Economics for DCMS, published 12 January 2022, data year 2020, all sectors, averages across AI-adopting businesses.
What actually drives the cost up or down?
Five things. If you understand these, you can read any quote properly.
Number of workflows. One workflow is a project. Six workflows is a programme. The first build costs more than it looks like it should because you are also putting the foundations in. Builds two through six get cheaper per workflow, because the plumbing is already there.
Number of systems touched. A workflow that lives inside one system is straightforward. A workflow that has to read from your accounts package, write to your project system, and email a subcontractor is three integrations, and integrations are where the days go. Ask any vendor how many systems their proposal touches. If they cannot name them, they have not scoped it.
The state of your data. This is the one nobody warns you about, and it is usually the biggest single swing. If your job files are consistent and your naming is sane, the build is quick. If the same subcontractor appears four different ways across three systems, somebody has to fix that before anything automated will work. That is real work.
Training and embedding. Software that nobody uses costs the same as software that everybody uses. The difference is the training and the follow-through, and it is a line item, not a favour. Budget for it or accept that you will pay for the build twice.
How much you do yourself. Some firms want the whole thing built and handed over. Some have a capable ops person who can take half of it on. The second costs less and takes longer. Neither is wrong.
Is AI worth it for a construction company?
It is worth it when a named person's repetitive hours are expensive enough that recovering them pays for the build inside a year, and it is not worth it when they are not. That is the whole test, and you can run it on the back of an envelope before you speak to anyone.
There is one piece of published evidence pointing the same way. Firms already using AI in construction and design report saving over three hours per week per person, which the report translates into more than £23,000 a year in productivity gains per business. Two caveats that matter: it is self-reported survey data from just over 145 professionals rather than audited accounts, and the sample is Houzz's own community, not a sample of established UK contractors. Treat it as a signal that the hours are real, not as a number to plan against.
Sourced: Houzz 2026 UK State of AI in Construction and Design Report, self-reported survey of just over 145 UK construction and design professionals.
Your own arithmetic is better evidence than anyone's survey. Here is how to do it.
How do you work out the payback for your own business?
Put your hours into pounds. Here is the arithmetic, with every assumption stated. These are worked-example inputs, not figures from any client.
Worked example. Assumptions: contracts administrator on £32,000 salary; loaded cost multiplier of 1.3 to cover employer NI, pension and overhead; 46 working weeks a year after holiday and bank holidays; 37.5 hour week.
- £32,000 × 1.3 = £41,600 loaded annual cost
- 46 weeks × 37.5 hours = 1,725 working hours a year
- £41,600 ÷ 1,725 = about £24 an hour
Run the same three lines on a £60,000 senior salary and the loaded rate is nearer £45 an hour. That gap is the whole game. Expensive people's repetitive hours are where the payback lives, and most firms model the cheapest role in the building instead.
For context, ONS put median gross annual earnings for UK full-time employees at £39,039 in April 2025, so a £32,000 admin salary sits below the middle of the market. Adjust the number to your actual payroll.
Sourced: Employee earnings in the UK: 2025, Office for National Statistics.
Now price the task. Say that administrator spends 8 hours a week chasing documents, rebuilding the same compliance pack, and re-keying information that already exists somewhere else.
- 8 hours × 46 weeks = 368 hours a year
- 368 × £24 = about £8,800 a year, on one task, in one role
Multiply by the number of people doing that same task. That total is what you are allowed to spend against.
What is the break-even test for any AI quote?
Turn it round. Instead of asking what a build should cost, work out how many hours it has to save to pay for itself.
The numbers below are arbitrary. We have picked round figures to show the method, not to indicate what anything costs with us. We do not price anything before we have seen your systems.
At £24 an hour fully loaded, every £10,000 of build cost needs 417 hours a year back to break even in year one. That is 9 hours a week across the business. Not per person. Across the business.
- £10,000 ÷ £24 = 417 hours
- 417 ÷ 46 weeks = about 9 hours a week
So if you are handed a £30,000 quote, the question is not "is that a lot of money". The question is whether you can name 27 hours a week of repetitive work, sitting in specific roles, that the build removes. If you can, the case is strong. If you are hand-waving at "efficiency", walk away.
Run it at your real rates. At £45 an hour, the same £10,000 needs only about 4.8 hours a week back. The higher the loaded rate of the person whose week changes, the easier the case gets.
When is AI not worth it for a construction firm?
Three situations, and we will tell you if you are in one.
Your volume is too low. Automating a process that runs four times a year will never pay back, however clever the automation. The maths needs repetition.
Your data is a mess and you are not willing to fix it. You can spend the money on the build or on the clean-up. If you will not do the clean-up, do not do the build.
Nobody owns it. If you cannot name the person whose week changes, you are buying an option, not a system. That is the same trap as any other software purchase, and AI does not exempt you from it.
What should you do before you spend anything?
Get the diagnosis before the prescription. Pick your three most repetitive tasks, write down who does them and for how many hours a week, multiply by your loaded hourly rate, and you will know within twenty minutes whether there is a case worth investigating.
If the case looks real, the first paid step is the feasibility study, a written look at your workflows and what it is worth fixing them. If the numbers are not there, you should not be spending, and you should not be paying us to tell you that.
Start here: See the Feasibility Study →
Or email us directly at [email protected] and tell us what your week looks like.
Find the margin. Free the hours.