SVENNISAIAI automation for UK businesses, from an agency that publishes its prices
AI automation means the work your team repeats every day is handled by an AI agent on Claude that understands language. We pick one process and put it into production in 30 days, measured against targets agreed before work starts.
Book a 30-minute call · with a Claude Certified Architect from our team.
- Claude Readiness Workshop: 2,500 GBP2 weeks, at the start of the project. If you sign a pilot within 60 days, it is credited against it in full.
What AI automation actually is
Traditional automation follows fixed rules: if field A equals X, do Y. That works on structured data and fails on most of what reaches a business: emails, enquiries, delivery notes, complaints, 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 ticket with a category, a priority, an owner and a draft reply.
The practical difference is tolerance for mess. Rule-based automation breaks when an input leaves the template, while an agent handles it and flags the uncertain cases for a person. That is why processes once written off as impossible to automate are now in scope.
A chatbot answers questions in a widget on your website. An agent works inside your systems: it creates, updates, links, escalates and records. The difference is write access, which is also why it has to be built properly.
What is actually holding the work up
The Workshops 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 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 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 draft reply. Anything ambiguous goes to a person 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 it and sends it.
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 to Xero, QuickBooks, Sage or FreeAgent. Discrepancies are 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 is 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, each with its own price. After each one you decide whether to go further.
Together we choose what is worth automating, on your real work. You leave with the processes scored, a cost range with its drivers and targets signed off by whoever signs off the budget. 2,500 GBP, credited in full against a pilot signed within 60 days.
Pilot A puts an AI agent on Claude on one process, end to end, in your own systems (from 16,800 GBP). Pilot B puts your whole team on Claude Team or Enterprise, on the company account (from 12,500 GBP). Both are measured at day 30 against the signed targets.
One department per sprint, with 5 to 8 skills or one anchor workflow, each tested and with an owner. A check at day 60 and a readout at day 90 tell you whether to extend, adjust or stop. from 5,600 GBP per department.
Claude gets new models, your systems change and volumes grow, and we keep the agent running. That means monitoring, model upgrades tested on your own test set before the agent moves, and a quarterly readout. Lite from 550 GBP a month, Standard from 1,650 GBP a month, Full on scope.
See it against your own business before you pay anything
Describe your business in one sentence, and Claude shows you within minutes which of your processes can be automated and roughly what each is worth. It costs nothing and asks for no email.
What AI automation costs
The price of each step is above. All prices are in GBP and exclude VAT.
What it costs to run each month
After go-live you pay for the model's usage, billed by AWS or Anthropic in US dollars as it is used. At the volumes of a small or mid-sized business it runs to tens of pounds a month per agent, not hundreds.
We set the budget from the start, and the estimate for your company is in the offer. After go-live you see the actual spend in your own AWS or Anthropic account.
Who builds it
The team behind this site has built business systems since 2011. It keeps them running after the project has ended.
Over 200 implementations in production, kept running after the project ended.
Ten colleagues hold the Claude Certified Architect certification. In the Workshop we tell you plainly whether what you already run is enough. Sometimes the answer is that you need nothing new.
We run Zoho systems for Nissan and for World Class across 47 clubs. They are not AI projects and we do not present them as such. They show that we get systems into production and keep them there.
Svennis Cloud Solutions Ltd in Manchester contracts the work, with engineering in Cluj-Napoca and support 08:00 to 18:00 UK time, Monday to Friday. Agents run in your own AWS account in London by default. On Claude Team, Anthropic stores the data in the United States.
- How Asset Services Group moved IT support into Microsoft Teams with Claude
- Examples of Claude agents in production: Four examples of the Claude work Svennis has delivered: three published with the client's name and approval, one shown under another name at its client's request.
UK data protection and your data
UK GDPR, the Data Protection Act 2018 and the Data (Use and Access) Act 2025 apply; there is no UK AI Act. An agent has only the access it needs and logs every action it takes. Complaints, money, medical and legal cases go to a person, and Anthropic's commercial terms exclude training on your content.
- UK GDPR in annotated full text: Annotated, article by article, with what each one means for a business.
- AI law for business: Regulators, duties and fines, with official sources, pillar by pillar.
- How we handle your data: Where the data goes, what we can show you, where the agent runs.
Common questions about AI automation
How long before an automation is live?
30 days from kickoff in Claude Pilot A. Before go-live the agent is checked on 100 test cases from your real work. The result is measured at day 30 against the signed targets.
What does AI automation cost for a small or mid-sized business?
Each step's price is in the section above, from the Claude Readiness Workshop at 2,500 GBP to Managed AI Operations. Each extra channel, system or language is priced in the offer. Model usage at typical volumes runs to tens of pounds a month per agent.
Do we have to replace our existing systems?
No, and that is the point. The agents work on what you already run: inbox, CRM, ERP, accounts, file storage. Replacing a system is a project of its own and usually an unnecessary one.
Which process should we automate first?
One with high volume, clear criteria and time you can measure. In practice that is usually email triage, quoting or document processing. We choose it in the Workshop from your numbers rather than by instinct.
What happens when the agent gets something wrong?
It is built to pass a case to a person when it is unsure rather than guess, and every action is logged. Under Managed AI Operations we monitor its behaviour and step in when a connected system changes. Without maintenance every automation decays, rule-based integrations included.
Do we need Zoho to work with you?
No: we have been a Zoho partner since 2011, and agents connect to Microsoft 365, Google Workspace, Xero, QuickBooks, Sage, FreeAgent or your own software. For each connection to your systems we build what fits: a connector, an MCP server, a plugin or a skill. We show you the options, with the cost of each, and you choose.
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.
Pick a time. Bring the process that costs you most.
In 30 minutes you find out whether it is worth automating and what it costs. You speak to a Claude Certified Architect from our team, not a salesperson.
Prefer to call? +44 7588 772736 · Not ready to talk? See it on your business first.
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