AI automation for growing businesses
AI automation means work that people repeat every day gets handled by software that understands language. No open-ended pilot, no workshop series. We pick one process, build it, put it into production in a fortnight, and show you what it returned using your own numbers.
What AI automation actually is
Traditional automation follows fixed rules. If field A equals X, do Y. That works well on structured data and badly on everything else, which is most of what actually arrives at a business: emails, enquiries, delivery notes, complaints, applications, notes from a phone call.
AI automation closes that gap. A language model reads unstructured text, works out the intent behind it and triggers the right action in the systems you already run. A free-text enquiry becomes a correctly categorised ticket with a priority, an owner and a drafted reply. A PDF becomes a posted invoice.
The practical difference is tolerance for mess. Rule-based automation breaks the moment an input deviates from the template. An agent handles the deviation and flags the cases it is not confident about for a human. That is why processes long written off as impossible to automate are now in scope.
What is actually holding the work up
The audits we run keep returning the same four findings. None of them is a technology problem.
Nobody spends eight hours a day triaging email. Fifteen people lose forty minutes each. It appears in no report, which is exactly why nobody notices it costs more than a full-time salary.
CRM, accounts, inbox and spreadsheets are all in place. What is missing is the layer between them that reads, decides and passes on. That is where automation belongs, not in yet another platform.
How a quote gets priced, which supplier suits which part, how a difficult account is handled: none of it is written down. When that person is on leave, the process stops.
A chat subscription for the team is not automation. It makes individuals faster and leaves the process untouched. Things only change when a step runs end to end without a person in it.
What we actually automate
These are the processes most businesses automate first, because they combine high volume, clear criteria and time you can measure.
A shared inbox someone works through each morning, sorting, forwarding and answering part of it themselves.
Every incoming message is read, categorised, prioritised, assigned to the right person and given a drafted reply. Anything ambiguous goes to a human with the reason attached.
Read the enquiry, find the line items, look up prices, fill the template, check the discount, proofread. One to two hours per quote.
The agent reads the enquiry, matches the items, applies your pricing and discount logic and drafts the quote in the CRM. Sales reviews and sends.
Invoices and delivery notes arrive as PDFs, photos or paper. Someone keys them in and matches them up.
Line items, totals, VAT treatment and supplier are extracted, checked against the purchase order and posted. Discrepancies get raised rather than quietly absorbed.
Enquiries arrive by form, phone, event and referral. They reach the CRM in varying states of completeness, and some never arrive at all.
Every lead is enriched, scored against your criteria, assigned and given a next action. Follow-up gets triggered instead of forgotten.
Repeat questions about delivery, setup, warranty and billing occupy the team that should be solving the hard cases.
The agent answers from your own documentation, pulls live order or ticket status, and escalates anything it cannot evidence.
Questions go to the two colleagues who know everything. Response time depends on whether they happen to be free.
An agent grounded in your own manuals, contracts and minutes answers with the source cited, so the answer stays checkable.
How a project runs
Four steps, fixed prices, defined acceptance criteria. You know in advance what gets delivered and what we are measured on.
We review your processes and hand back a list of what can be automated, ranked by money, each with an effort and cost estimate. The audit is EUR 990 and is credited in full against any project commissioned within 60 days.
Together we pick the one process where the pain is largest and the result is cleanest to measure. You get a fixed price and written acceptance criteria before anything is built.
We build the agent on Claude, connect it to your systems and test it against your real data rather than samples. You see it in progress instead of being surprised at the end.
We check the acceptance criteria together against your numbers and train your team. Monthly operation is optional: monitoring, intervention when a connected system changes, and further processes each month.
See it against your own business before you pay anything
Our home page runs a real analysis. Not a brochure, and not a form that triggers a sales call. You describe your business and Claude shows you within minutes which of your processes can be automated and roughly what each is worth. It costs nothing and you can try it right now. We do not know another firm in this market that puts a working demonstration in front of strangers, and that is deliberate: it is the most honest way to judge whether any of this applies to you.
Run the analysis nowWhat AI automation costs
Published prices. Most consultancies in this market do not publish theirs, and the reason is rarely a good one.
One week. You come out knowing what is worth automating, in what order, and what each piece costs.
Request a quoteOne process automated end to end and live in 10 to 15 working days, tested on your real data, with training for your team.
Request a quoteMonitoring, intervention when something breaks or a system changes, monthly improvements and included hours for further automation.
Request a quoteWhat it actually costs to run each month
The second question every owner asks: once it is built, what do I pay monthly? The honest answer is that at typical business volumes, Claude usage runs to tens of euros per month per agent, not hundreds. An agent triaging a few hundred emails a month consumes very little. Costs rise with volume, and rising volume means the business is growing.
The specific estimate is in the quote before you sign. After that, the monthly report shows actual consumption.
Who builds it
We are not an AI studio founded in 2024. The team behind this site has been building business systems since 2011 and running them, including the years afterwards when nobody talks about the project any more and the software still has to work.
Over 200 implementations in production. Most of the AI agencies we compete with were founded in 2023 or 2024.
We build on Anthropic's Claude because business processes need consistent quality and predictable behaviour. We assess any AI you already run honestly in the audit, including when the answer is that you do not need anything new.
Our team runs business systems for Nissan, World Class across 47 sites and Salus Controls. Those were Zoho implementations, not AI projects, so we do not present them as AI references. They evidence that we get systems into production and keep them there.
Work delivered from the EU on Central European time, GDPR compliant. No handoff to a different timezone when an agent stops.
Data protection and your data
The moment an agent carries part of a business decision, automation becomes a governance question too. Under Anthropic's standard policy, data sent through the API is not used to train the models. We work with least-privilege access, log what an agent does, and keep a human in the loop where accountability requires one. We are unusual in this market in publishing the legal framework in annotated full text rather than dealing with it in a paragraph.
Common questions about AI automation
How long before an automation is live?⌄
For a clearly scoped process, 10 to 15 working days from kickoff. The timeline and the acceptance criteria are in the quote before you sign.
What does AI automation cost for a small or mid-sized business?⌄
The first agent is from EUR 4,900 at a fixed price, and the audit that precedes it is EUR 990, credited against the project. Monthly operation starts at EUR 1,500 and is optional. Claude usage at typical volumes runs to tens of euros per month per agent.
Do we have to replace our existing systems?⌄
No, and that is rather the point. The agents work on what you already run: inbox, CRM, ERP, accounts, file storage. Replacing a system is its own project and usually an unnecessary one.
Which process should we automate first?⌄
One with high volume, clear criteria and measurable time. In practice that is usually email triage, quoting or document processing. We choose it in the audit from your numbers rather than by instinct.
What happens when the agent gets something wrong?⌄
It is built to escalate when it is uncertain rather than guess, and every action is logged. Under monthly operation we monitor behaviour and intervene when a connected system changes. Without maintenance every automation decays, which is as true of rule-based integrations as it is of AI.
Do we need Zoho to work with you?⌄
No. If you run Zoho it helps, since we have been a Zoho Premium Partner since 2011. Agents connect equally to Microsoft 365, Google Workspace, other CRM and ERP systems, or your own software.
How is this different from conventional automation tools?⌄
Rule-based tools need structured input and break on deviation. A language model reads unstructured text and copes with deviation. Where your process genuinely works on fixed rules, we will say so rather than sell you AI you do not need.
See what is possible in your business first
The analysis is free, takes a few minutes and produces a concrete list rather than a sales call. If nothing comes of it, you still have a defensible answer to whether AI automation is worth it for you.