AI that does real work, not demos
Most AI projects produce an impressive demo and nothing else. We're interested in the boring version that saves your team six hours a week and keeps doing it.
- Answers 24/7
- Less admin
- Faster decisions
The problem
“We know we should be using AI somehow, but every idea sounds like a gimmick.”
The gap isn't ambition, it's specificity. AI is genuinely good at a narrow set of things — reading messy text, drafting, sorting, answering repeat questions — and genuinely bad at others. The useful version starts by finding one job in your business that fits, not by deciding to 'do AI' and looking for somewhere to put it.
What you get
Everything that's included.
Not a list of intentions. These are the things that exist at the end, and they're all in the price.
- An honest audit of where AI would help and where it wouldn't
- One clearly defined job it does, working end to end
- Wired into the tools your team already uses, not a separate app
- Guardrails so it stays on topic and hands over to a human
- Your data handled properly, with clear rules on what it can see
- Plain-English reporting on what it's doing and what it's saving
- Runs on accounts in your name, with visible running costs
- 30 days of support and tuning after launch, included
How it runs
What happens, and when.
Week 1
Find the right job
We look at where your time actually goes and pick the task with the best payback. If we don't find one worth doing, we'll say so.
Weeks 2–3
Build a working version
Something real you can try on your own data, not a slideshow. This is where you find out whether it's actually useful.
Week 4
Tighten it up
Handling the awkward cases, setting the limits, and deciding when it should stop and fetch a person.
Weeks 5–6
Roll out and measure
Into daily use with your team, then we measure whether it's saving what we said it would.
Is this you?
We'd rather tell you now than in month two.
This is for you if
- Your team answers the same questions over and over
- Someone spends hours moving information between systems
- Customers ask things outside your working hours
- You have written material an assistant could learn from
It's probably not if
- You want AI because it sounds good in a board meeting
- The task needs to be right 100% of the time, with no human checking
- You can't say what a good outcome would look like
- You're expecting it to replace a whole team — it won't
By industry
What this looks like in your sector.
The approach is the same everywhere. What changes is which problems come up first and what matters most.
AI for online stores that earns its keep
Answer buyer questions at 2am, sort the support inbox, and write product copy at scale — narrow jobs with measurable payback, not a chatbot experiment.
online storesAI for agencies that saves real hours
Cut the unbillable hours: research, first drafts, meeting notes and reporting, wired into the tools your team already uses.
agencies and consultancies
How we price it
You'll know the number before you commit.
The first stage — finding whether there's a job worth doing — is small, fixed and separately priced, because we'd rather tell you there isn't one than sell you a build that won't pay for itself. If there is, you get a fixed price for it, plus an honest estimate of the monthly running cost.
We don't publish prices because the honest answer depends on what you need, and a number on a page would either be meaningless or wrong. What we will do is give you a real one quickly — usually within a day or two of understanding the job.
Common questions
The things people ask before they commit.
Will AI replace my staff?
No, and anyone promising that is selling something. What it does well is take the repetitive parts of a job — the same email answered for the hundredth time, the copying between systems — so your people spend their time on the parts that need a person.
Is our data safe?
We agree up front exactly what it can and can't see, and it only gets access to what it needs for the job. If you have rules about where data can live or what can't leave your systems, tell us at the start and we'll build to them.
What if it gives customers wrong answers?
That's the main risk, and it's why the limits matter more than the clever bit. It's set up to work from your actual material, to say it doesn't know rather than guess, and to hand over to a person when it's out of its depth. You also see what it's been saying.
How much does it cost to run each month?
It varies with how much you use it, and we give you a realistic estimate before you commit — not a best case. It runs on accounts in your name so you can see the actual spend rather than taking our word for it.
How quickly will we see a result?
You'll have something working on your own data within two to three weeks. Whether it's genuinely saving time is measurable by about week six, and if it isn't, we'd rather find that out then than pretend.
We tried something like this and it wasn't good enough.
Usually that's because it was pointed at too broad a job. Something asked to answer anything answers everything badly. Narrow it to one task with clear boundaries and the same technology behaves very differently.
Do we need to change our existing systems?
Generally not. The point is to sit alongside what you already use rather than making everyone learn a new app — it's more useful where your team already is.
Often needed alongside
Software that kills the manual work
The spreadsheet everyone's terrified of, replaced by something built for how your business actually runs.
ExploreKeeping it all running
For something that already exists and has to keep working. Fixes, updates, rescues, and someone who answers.
ExploreWebsites that bring in work
A site that loads fast, says the right thing, and turns visitors into enquiries. Yours to update without calling anyone.
Explore
Next step
Tell the chooms what needs building
Send the problem, not a spec. You'll hear back within 24 hours with a straight answer on what it takes, what it costs, and whether we're even the right chooms for it.