Guide · updated July 2026
Agency, in-house hire, or no-code consultant?
There are three sensible ways for a UK business to get AI automation built. We're one of them, so read this knowing we have a horse in the race. It's still the comparison we'd give a friend, including the cases where the answer isn't us.
The three routes, defined
Specialist agency or studio
A team that designs, builds and ships a bespoke system for you, then hands it over. You buy an outcome: working software in production.
In-house AI engineer
A permanent hire who builds and maintains your automation as an employee. You buy capacity: a person whose roadmap you control.
No-code consultant
A specialist who wires your tools together on platforms like Zapier, Make or n8n, usually with an LLM step in the middle. You buy speed: working automations in days.
Side by side
What each route really costs, and where each one breaks.
Figures are typical UK market ranges as of 2026, not quotes. Every serious provider will price your actual scope.
| Specialist agency | In-house engineer | No-code consultant | |
|---|---|---|---|
| Typical UK cost (2026) | £5k-£60k+ per system, fixed scope. One-off, capitalisable; support optional. | £70k-£100k+ salary (London ML/AI roles), plus ~15% employer NI, pension, and a 15-25% recruiter fee. Realistic year-one cost: £110k-£140k. | £300-£600/day. Small builds land £2k-£10k, plus platform subscriptions (£20-£200+/month, forever). |
| Time to something working | Weeks. A focused team that has built the patterns before. | Months. 2-3 months to hire, then onboarding before the first system ships. | Days. This is the genuine superpower of the no-code route. |
| Ceiling | High. Custom pipelines, agents grounded in your data, evals, infrastructure. Whatever the problem needs. | High, but bounded by one person's skill set and bandwidth. Modern AI systems span data, prompts, evals and ops. | Low-to-medium. Great for linear tool-to-tool flows; strained by heavy data volumes, complex logic, auditability or cost control at scale. |
| Ownership & lock-in | Depends on the agency, so insist on owning the code. (Our builds are handover-first: the system is yours.) | Fully yours, as long as the knowledge doesn't live in one head. Key-person risk is real. | You own the recipe, the platform owns the kitchen. Costs scale with usage and migration later means rebuilding. |
| Maintenance | Agreed support, or your team runs it after handover. | Continuous. This is the strongest argument for the hire. | Light until an API or platform change silently breaks a flow nobody is watching. |
| Fails when… | The problem is vague, or the agency ships demos rather than production systems. Ask any agency what happens after launch. | There isn't a continuous pipeline of AI work to justify the salary, and an expensive hire spends half the year on IT tickets. | The workflow needs judgement, scale, or an audit trail. Or when 40 fragile zaps become the business's nervous system. |
The maths most comparisons skip
An in-house AI engineer costs a lot more than the salary. Add roughly 15% employer National Insurance, pension contributions, equipment, and usually a 15-25% recruitment fee up front. A £85k hire is realistically a £110k-£140k year-one commitment before they've shipped anything, and the median time to fill a specialist AI role is measured in months.
No-code looks cheapest and often is. But subscription and per-task pricing means the cost curve bends upward exactly when the automation succeeds and volume grows. A £49/month stack that becomes load-bearing has a habit of becoming a £500+/month stack you can't leave.
A fixed-scope agency build costs more than no-code and less than a year of a hire: £5k-£60k+ per system depending on scope. The number that matters more than price is what you own at the end. A system in your infrastructure, or a dependency.
Our honest read
- 01
Choose no-code if…
The job is connecting tools you already use, volumes are modest, and a broken run costs you an hour, not a client. Honestly: start here if this describes you. It's the cheapest way to learn what you actually need.
- 02
Hire in-house if…
AI automation is becoming your product, or you have a genuine year-round roadmap of systems to build and evolve. One good engineer beats any agency at accumulated context, if you can keep them busy and keep them, full stop.
- 03
Use a studio like ours if…
You need a production-grade system (real data, real stakes, has to be trusted) without a six-figure year-one employment bet. You get the system in weeks, own it outright, and add support only if you want it.
Not sure which you need?
Describe the workflow and we'll tell you which of the three routes fits, even when the answer is a £40/month Zapier plan and not us. See how we build in the case studies, and if you land on the agency route, here's how to vet one.