AI automation agency: what one does, what it should cost, and how to choose one (UK)

An AI automation agency builds software that takes repetitive admin off your team: drafting quotes, chasing invoices, producing reports, following up enquiries, and connecting AI assistants such as ChatGPT, Claude or Copilot to the systems you already use. A good one starts from the job that costs you the most time, agrees a fixed price before it builds, keeps a person approving anything the AI prepares, and hands you something you own. In the UK, a first build typically costs a few thousand pounds.

Strip away the jargon and an AI automation agency does one thing: it finds the admin your team repeats every week and builds software that does it instead, using AI where AI helps and plain rules where rules are enough. Most of what a 10 to 100-person UK business needs is unglamorous, and that is the point. These are the jobs we are asked about most:

• Quoting and estimating. Your pricing rules move out of the spreadsheet only one person understands and into a tool anyone can use. The AI can read an enquiry or a drawing schedule and draft the quote; your estimator checks it and sends it.
• Invoice and payment chasing. The system knows what is overdue, drafts a polite chase in your tone, and queues it for someone to approve, so chasing no longer depends on someone having a quiet Friday.
• Reporting. The monthly pack somebody rebuilds from three exports is ready when you open it, built from live figures. See how to automate your monthly Excel reports.
• Inbox and CRM follow-up. Enquiries are logged, sorted and followed up, and quotes that went quiet get a nudge, without anyone retyping details between Outlook and the CRM.
• Connecting AI assistants to your systems. ChatGPT, Claude and Microsoft Copilot can now read your files, emails and systems such as Xero and Microsoft 365 and answer from them. An agency sets that up safely, and builds the connections the ready-made options don't cover, such as an old job system or the pricing spreadsheet everyone depends on.

The rule that should run through all of it: the AI prepares, a person approves. Drafting a quote, an email or a report is a good use of AI. Sending it to a client, changing a price or writing into your accounts without a person looking is not, because AI tools can still be confidently wrong.

Often you can start yourself, and it is worth trying before you hire anyone. If your team already uses ChatGPT, Claude or Copilot, a business plan with the right connections switched on will answer questions from your own emails, files and Xero figures with no build at all. We wrote a step-by-step guide to doing exactly that, including which plan you need and what happens to your data on it.

An agency earns its fee when one of these is true:

• The job crosses systems. The quote lives in a spreadsheet, the customer in the CRM, the invoice in Xero, and someone re-keys between them.
• The system you need has no ready-made connector. Sage, older industry software, in-house databases and spreadsheets usually fall into this gap.
• It has to work the same way for everyone. A home-made workflow that only its builder understands becomes a problem the week they leave.
• It touches money or clients. Anything that prices, invoices or emails customers needs testing, permissions and an approval step, not a clever prompt.

A test that comes up again and again in owner forums: you are ready to hire when you can say exactly what goes in and what comes out. "Enquiry email in, priced quote out, for a person to check" is ready. "We should be doing something with AI" is not yet, and a good agency will tell you so.

You would not be behind, either. ONS figures for June 2026 show around 35% of UK businesses with 10 or more staff using any AI technology, and 13% in construction (ONS, July 2026).

Fewer than half of the 36 UK automation, software and BI firms we checked in October 2026 publish real prices, so here is what the ones that do actually charge.

Beyond those, retainers that include a bank of development hours typically run £300 to £1,000 a month, and some agencies sell automation as a subscription instead, from under £100 to about £2,500 a month. Fixed price per project is the most common model among the UK firms we checked; day rates are the minority.

Three costs are easy to miss, so ask about each:

• AI usage. Calls to an AI model are billed by use. Small for most admin jobs, but they should be estimated up front.
• Licences. Your assistant plan (ChatGPT, Claude or Copilot business seats) is usually separate from the agency's fee.
• Data access fees. Some systems now charge for heavy use of their data links. Xero, for example, introduced tiered developer pricing in 2026 with limits on connections and data (Xero developer pricing).

What we charge. Our builds start at £3,000, fixed price, agreed before we start and quoted in stages so you can stop at any point. Every build includes training at handover and 30 days of support after go-live. Care plans are optional and start at £250 a month. You own what we build, with no per-user licence fees. All our prices exclude VAT. The full breakdown, including what moves the price, is on our pricing page.

Is that worth it? Multiply the time a job takes by how often it happens. One person losing an afternoon a week is about six working weeks a year on a single task. If a build costs less than the time it gives back within a year, it usually pays. If it doesn't, don't build it.

Owners are rightly wary of AI agencies. The market is new, it is easy to set up as one, and offers range from a chatbot on a monthly fee to properly built, owned software. These are the questions that separate a firm you can rely on from one you will regret:

1. Will you give me a fixed price before you build? You should know the number before you commit, and the price for each stage should be agreed before that stage starts. Open-ended hourly billing for a first project is a warning sign.
2. Do I own what you build? Ask who owns the code, the workflows and the accounts they run in. If you stop paying, does it keep working? "Yes, it's yours" is the answer you want.
3. Where does my data go? They should name which AI services touch your data, confirm those are business plans that don't train on your content, and sign a data processing agreement where they handle personal data, as UK GDPR requires. The ICO's guidance on AI and data protection is a good reference for what to expect.
4. Where does a person approve? Ask them to show you, step by step, where a person checks what the AI prepared before it reaches a client or your accounts.
5. Can I see it working early? A working version with your real process in it beats a slide deck. Ask how soon you will see one.
6. Can I speak to a client? Ask for a reference you can call, or at least a specific, checkable result.
7. What happens after go-live? Who fixes it when Xero or Microsoft changes something, how fast, and what does that cost each month?
8. Will you tell me if it isn't worth doing? The best sign of all is an agency that talks you out of something.

• Big promises with no method. A headline percentage saving with nothing about how it was measured, or for whom.
• Pressure to sign now. Countdown offers and "only two slots left" have no place in a decision about software your business will run on.
• No price until you are deep in. If they won't give a range on the first call, expect the number to grow.
• You rent it and can't leave. Everything runs in their accounts, and stopping the subscription switches it off.
• Vague answers on data. They can't say which AI services see your client data, or they suggest personal ChatGPT accounts.
• AI that acts on its own. Quotes or emails going to clients, or entries into your accounts, without a person approving them.
• Everything is AI. Plenty of admin needs plain rules, not a language model. An agency that puts AI into every step is selling AI, not solving your problem.

A sound first project is small, specific and staged. This is how ours run, and it is a fair yardstick for anyone you speak to:

1. A free first conversation. You bring one example of the job, such as a recent quote or last month's report, and get an honest view of whether it is worth automating and roughly what it would cost.
2. A fixed-price plan. We map how the job is done now, including the bits that live in one person's head, then send a written plan of what the tool will do and a fixed price. No obligation, and we don't bill this part separately.
3. An early working version. You see it running on your own data, not a mock-up, while it is still cheap to change.
4. Go-live and handover. Your team is trained, and for 30 days we fix faults and answer questions as part of the build.
5. The next stage, only if it's worth it. Each stage is quoted and agreed on its own. Stop whenever the remaining work stops paying for itself.

Every build also carries our spec guarantee: if it doesn't do what we agreed in the spec within 30 days of go-live, we fix it or refund you. The full terms are on the pricing page.

Streamlined Analytics is a small UK firm based in Stockport, run by Ben Atkinson, who also writes the software. That shapes how we work:

• You speak to the person who builds it. No account manager in between, so nothing gets lost between the call and the code.
• Published, fixed prices. Builds from £3,000 plus VAT, agreed before we start, quoted in stages.
• You own it. No per-user licence fees and no lock-in. If you want to take it elsewhere, the code is yours.
• AI where it helps, rules where they're enough. We use AI to draft and read; your team approves anything that leaves the building.
• We connect to what you already use, from Xero and Microsoft 365 to the spreadsheet no product reads.

Most of our work is for construction firms, specialist contractors and suppliers, where every job is priced differently, but the same five jobs (quoting, documents, reporting, re-keying and chasing) turn up in every sector. See what we automate.

That is a UK specialist supplier whose quoting we moved out of one estimator's workbook. It's one client's result, not a promise: yours will depend on how you price.

When we're not the right fit: if an off-the-shelf product already does the job well, if the work is genuinely different every time, or if you are a larger organisation with your own development team, we'll say so rather than sell around it.

Want to see the kind of thing we build first? Try the sample quoting tool: price a sample job from a rate library, with no call and no sign-up.

If you know which job is eating your week, book a free 30-minute review. Bring one real example and you'll leave knowing whether it's worth automating and roughly what it would cost, even if the answer is "don't". If you'd rather find your feet first, start with the free guide to connecting the AI assistant you already pay for to your business systems.