Three routes will get AI built for your business: a freelancer, an agency or studio, or an in-house hire. The sticker price on each is misleading — the real cost includes your management time, ramp-up, quality risk, and who's left holding the code after launch. This guide puts the honest numbers next to each other so you can pick the one that fits a first project versus an ongoing programme.
Most comparisons pretend the day rate or the salary is the whole story. It isn't. A cheap freelancer who needs constant supervision can cost more than a fixed-fee studio, and a £70k hire can sit half-idle if you don't yet have enough AI work to fill their week. Let's cost each route properly.
Should I use an AI agency, a freelancer, or hire in-house?
For a first project, a fixed-fee studio usually de-risks it best: fixed price, a team rather than one person, and clear accountability for the result. A freelancer suits small, well-defined jobs if you can manage them. Hiring in-house only pays once you have a steady pipeline of AI work.
The three routes trade off on the same handful of factors. Here's the shape of it before we cost each one:
| Factor | Freelancer | Agency / studio | In-house hire |
|---|---|---|---|
| Headline cost | £400–£800/day | £8k audit; £25k–£30k build | £50k–£90k+ salary |
| Speed to start | Fast, if available | Fast, scoped up front | Slow (2–4 months to hire) |
| Accountability | One person | A team, contracted | You manage it |
| Ownership | Yours (get it in writing) | Yours (defined in SOW) | Fully yours |
| Key-person risk | High | Low | Medium |
| Maintenance | Fragile after they leave | Support arrangement | You own it |
Pick the row that scares you most and it usually points to your answer. If key-person risk keeps you up at night, don't hire a lone freelancer for something core. If a big fixed salary before you've proven the work feels reckless, don't hire in-house yet.
What does a freelance AI developer cost?
Freelance AI and ML developers in the UK commonly charge £400–£800 a day, sometimes more for scarce skills. A tightly scoped automation might take a week or two, so a few thousand pounds. That's the honest floor — and it's genuinely the cheapest way to get a small, well-defined job done.
The hidden costs are where budgets slip:
- Your management time. A freelancer needs a brief, review, feedback, and decisions. If you're the one supplying that, factor in several hours a week of your own time, which isn't free.
- Quality variance. Freelance quality ranges enormously. A great one is excellent value; a poor one produces code you'll pay someone else to untangle. Vetting takes effort, and you often can't tell until you're in.
- Key-person risk. One person, one point of failure. If they take another contract, fall ill, or vanish, the project stalls and nobody else knows the work.
- Maintenance after launch. When the freelancer moves on — and they will — the code they built may be a black box. Budget for who picks it up.
Freelancers work best when the job is small, clearly specified, and not business-critical. For a first AI experiment where you can write a tight brief and tolerate some risk, a good freelancer is a sensible, cheap start. Just don't hand a lone contractor something your business depends on.
What does an AI agency or studio cost?
Agencies and studios charge in one of two ways, and the difference matters more than the number. Day-rate work is open-ended — the meter runs until it's done, and you carry the overrun risk. Fixed-fee work sets a price for a defined outcome, so the studio carries the risk of it taking longer than planned.
| Pricing model | Who carries risk | Best for | Watch out for |
|---|---|---|---|
| Day rate | You (the client) | Open-ended or research work | Scope creep, no ceiling on cost |
| Fixed fee | The studio | Defined outcomes, first projects | Scope must be pinned down up front |
Fixed-fee is the friendlier model for a first project because you know the number before you commit. At Canarlo the ladder is deliberately staged to keep your downside small: a free AI Readiness Assessment to see whether there's anything worth building, then an £8,000 fixed-fee AI System Audit — two weeks, a roughly 30-page report, paid 50/50 — that ends with an honest build-or-don't-build verdict. Custom builds that follow typically run £25k–£30k. You can see the full breakdown in the pricing guide.
What you're buying beyond the code is accountability. A studio is a team, so illness or one person leaving doesn't halt the project. There's a contract that defines ownership, scope, and support. And a good studio will tell you when not to build — which a freelancer being paid by the day has less incentive to do. If you're weighing this route, how to choose an AI development company covers what to look for.
What does hiring an in-house AI engineer really cost?
An in-house AI or ML engineer in the UK earns roughly £50k–£90k+ depending on seniority and whether you're in London or the regions. But salary is maybe two-thirds of the true cost. Add employer National Insurance, pension, recruitment, equipment, and the months before they're productive, and a £70k hire costs closer to £90k in year one.
The full picture:
- Recruitment. Agency fees run 15–25% of first-year salary, or months of your own time filtering candidates. Good AI engineers are in demand and hard to land.
- Ramp-up. Even a strong hire takes weeks to months to understand your business, data, and systems before they ship anything useful. You're paying full salary through that.
- Management. A technical hire needs direction, priorities, and someone to unblock them. If nobody in the business can do that, the engineer drifts.
- The utilisation problem. This is the one people miss. Hire one person for AI work, and you need enough AI work to keep them busy — otherwise you're paying a full salary for a part-time need. One project does not justify a permanent hire.
In-house is the right answer once AI is a continuous function in your business, not a one-off. When you have a roadmap of projects, an engineer who knows your systems deeply becomes very good value. Before that point, you're committing to a fixed cost ahead of proven demand.
Which is right for a first AI project?
A fixed-fee studio or a carefully chosen freelancer. A first project's job is to prove the idea works before you spend big, and a fixed price caps your downside if it doesn't. Hiring in-house before you've validated the work commits you to a salary ahead of any evidence the pipeline exists.
Match the route to where you are:
| Your situation | Best route | Why |
|---|---|---|
| First AI project, unproven idea | Fixed-fee studio | Capped cost, honest verdict, accountability |
| Small, well-defined, low-stakes job | Freelancer | Cheapest, fast, manageable risk |
| Steady pipeline of AI work | In-house hire | Deep knowledge, best long-run value |
| Core system, high stakes, one-off | Studio (not a lone freelancer) | A team, not a single point of failure |
The honest verdict: for most UK SMEs doing their first serious AI project, a fixed-fee studio de-risks it best. You find out whether the thing is worth building before you spend build money, and you don't take on the overhead of a permanent hire for work you haven't yet confirmed. If you're still deciding what to build first, off-the-shelf, no-code, or custom is the companion read, and chatbot vs custom AI system helps you scope what you actually need.
Who maintains the system after it's built?
Whoever built it — ideally under a support arrangement agreed before work starts, not scrambled together afterwards. This single question separates the routes more than cost does, because software isn't finished at launch. It needs updates, fixes, and adjustments as your business changes.
- Freelancer. Highest maintenance risk. When they move on, the code can become a black box nobody understands. Agree a support retainer up front, or accept you may pay someone else to reverse-engineer it later.
- Studio. A team means continuity. Maintenance can be built into the engagement or offered as ongoing support, and there's more than one person who knows how it works.
- In-house. You own maintenance completely. That's an advantage once AI is permanent — your engineer keeps improving the system — and a liability if that person leaves and wasn't replaced.
Always ask, before you commit to any route: who fixes this in six months, and what does that cost? A route that looks cheap to build and expensive to maintain is not actually cheap. Get the answer in writing.
FAQ
Should I use an AI agency, a freelancer, or hire in-house?
For a first project, a fixed-fee studio de-risks it best: you get a team, a fixed price, and someone accountable for the outcome. A freelancer is cheaper on paper but adds management load and key-person risk. Hiring in-house only pays off once you have a steady pipeline of AI work to keep a full-time engineer busy.
What does a freelance AI developer cost in the UK?
Day rates commonly run £400–£800, so a focused build can land anywhere from a few thousand pounds upward. The real cost is higher once you add your own time managing the work, the quality variance between freelancers, and the risk that one person disappears mid-project or after launch.
What does an AI agency or studio cost?
Two models exist: day-rate (open-ended, you carry the risk) and fixed-fee (a set price for a defined outcome). Fixed-fee studios like Canarlo scope tightly — a £8,000 audit or a £25k–£30k custom build — so you know the number before you commit and the studio owns delivery risk, not you.
What does hiring an in-house AI engineer really cost?
Salary is roughly £50k–£90k+ depending on seniority and location, but the true cost is higher: recruitment fees, employer NI and pension, ramp-up time, and the management overhead of leading a technical hire. Hiring one person for work you can't yet keep them busy with is the expensive mistake.
Which route is right for a first AI project?
A fixed-fee studio or a carefully chosen freelancer. A first project is about proving the idea works before you spend big, and a fixed price caps your downside. Hiring in-house before you've validated the work is premature — you're committing to a salary before you know the pipeline exists.
Who maintains an AI system after it's built?
Whoever built it, ideally under a support arrangement agreed up front. This is where freelancers carry the most risk — if they move on, nobody knows the code. A studio can offer continuity through a team. In-house, you own maintenance entirely, which is fine once AI work is a permanent function.
Is it cheaper to hire in-house than use an agency?
Only over the long run, and only with steady work. A full-time engineer at £70k costs closer to £90k once NI, pension and overheads are added, plus months of ramp-up. For one or two projects a year, a fixed-fee studio is cheaper and faster. In-house wins when AI becomes a continuous part of the business.