What does an AI agency actually do?
Short answer: an AI agency sets up AI that does real work in your business, connects it to the tools you already use and keeps it working. The good ones stay involved afterwards, because AI that’s set up once and left alone drifts out of date.
Key points
- An AI agency builds, connects and looks after AI. You’re not buying software to learn.
- The work tends to be one of two things: a dedicated AI assistant for the day to day, or a custom system for a bigger company.
- The questions that matter are about who sets it up, who looks after it and who approves what it does.
- Prices vary a lot, from a monthly service to project fees in the tens of thousands.
The problem it solves
Most owners have already tried AI. There’s a chat tool open in one tab, maybe an automation somebody built last year, and a nagging feeling you should be getting more out of it.
The tools aren’t usually the problem. Nobody has set them up around your business, and nobody has time to keep them running. The AI doesn’t know your clients or your suppliers, and it doesn’t know how you like to word a reply. So you end up doing most of the work yourself anyway.
An agency closes that gap. It takes the technology that’s already out there and turns it into something that does one particular job for one particular business, reliably.
What the work involves
Every agency does it a bit differently, but it generally comes down to five things.
Learning how your business runs
Before anything gets built, someone has to understand where your time goes. That usually means a call and a short form covering what you do, who you deal with, which jobs repeat and where things go wrong.
This step matters more than people expect. An AI that knows your tone and your processes is useful. One that doesn’t is another tool you have to babysit.
Setting the AI up around it
Next the agency configures the AI for you and connects it to where your work already lives: your inbox, your calendar, your order system, your documents.
For a small business that might be one assistant. For a bigger company it might be several agents, each with its own job.
Adding safeguards
Anything that sends a message to a client or spends money shouldn’t happen without a person agreeing to it. A sensible agency builds approval steps in from the start, so the AI prepares and you approve. It also keeps a record of what the AI has done, so you can check.
Running and improving it
This is what separates a service from a one-off project. Businesses change. You take on new suppliers, processes shift and you want the AI to do more. Someone has to look at how it’s performing and adjust it.
At LuxxStack we manage every AI teammate monthly, which is why it keeps improving.
Building bigger systems when you need them
Some companies need more than one assistant. A staffing business might want one AI checking candidate compliance, another coordinating bookings and another handling recruitment admin. That’s custom work, and it’s what our custom AI systems service covers. We’re building exactly that for a UK recruitment agency.
What it looks like day to day
These are illustrative examples of the kind of work involved.
- A trades firm has its engineer certificates tracked, with renewal requests drafted before they expire.
- An ecommerce seller gets a short summary each morning of yesterday’s orders and any customer queries waiting for a reply.
- A recruitment agency has missing candidate documents chased, with a person approving anything sensitive.
There’s more on our industry pages.
The main kinds of AI agency
You’ll come across three shapes.
Consultancies focus on strategy and large projects, and often finish by training your team. They suit big, one-off programmes. We compare the two approaches in managed AI teammate vs an AI consultancy.
Managed service agencies set up AI for you and keep running it for a monthly fee. They suit businesses that want the work done without managing a project.
Build-only studios make a system and hand it over. That works well if you’ve got people in-house to run it.
None of them is better across the board. It depends on your size, your budget and how involved you want to be.
What it costs
A managed service usually charges monthly, often with a one-off setup. Custom builds are priced per project.
For reference, LuxxStack AI Teammate plans start from £295 a month, automations and agents are typically £2,500 to £15,000, and full AI integration programmes start from £15,000. The pricing page has the full breakdown, and we’ve written about what an AI employee costs in the UK if you want the wider picture. All prices exclude VAT.
How to choose one
Five questions will tell you most of what you need to know.
- Who looks after it once it’s live? If the answer is “you”, make sure you’ve got the time.
- Where’s my data kept? You should get a clear answer, ideally a private setup rather than a shared one.
- What needs my approval? Anything leaving the business should wait for you by default.
- Can I see real examples? Decent agencies can describe what they’ve built, even when client names are private.
- What will it cost every month? Ask for the full figure, not just the setup.
Is it worth it?
If you spend hours each week on admin, chasing and answering the same questions, probably. If your needs are small and you like tinkering, DIY tools may suit you better.
If you’d like to talk it through, book a call. We’ll tell you straight whether it would help.