AI is only worth anything when it takes repetitive work away from people and gives time back to the business. That is always our starting point: which activity is eating your hours, and how do we hand it to a machine without losing control.
In most of the companies we meet the answer is the same: answering the same enquiries, retyping data from an email into a system, writing quotes that are 90% identical, hunting for a document that exists but cannot be found, translating product descriptions. These are all tasks where a well-built AI agent is faster, more consistent and never distracted. The hard part is not “using AI”: it is knowing where to put it and how to keep it in check.
Catalogues, price lists, manuals, contracts, internal procedures: the agent reads them and answers, quoting the source. No invention, no generic replies. Technically it is called RAG; in practice it is a colleague who has read everything and forgets nothing.
They answer on your site, on WhatsApp and by email in English, Italian, German, French and Spanish, around the clock. They hand the conversation to a person when it genuinely matters, and leave you the full transcript.
From the customer’s enquiry to a PDF ready to sign: the AI extracts the data, applies your price list, calculates options and discounts, produces the document and files it in your system.
Orders, invoices, delivery notes, CVs, quote requests: read, categorised, routed to the right person and archived with the data already extracted.
Seasonality, booking peaks, workshop load, stock levels: models that tell you what to expect next week, so you plan shifts and purchases in advance instead of after the fact.
Product sheets, descriptions and SEO copy in five languages, consistent with your tone of voice and already optimised for search engines and AI answers.
An assistant that answers beautifully but doesn’t know that room is already booked, or that the part is out of stock, causes more damage than it prevents. That is why we always connect the AI to real data: business software, stock, calendar, CRM, channel manager, invoicing. If your system has no way of being queried, we build one.
An assistant that answers availability enquiries in five languages by reading the real calendar, offers the correct rate and opens a direct booking instead of handing the commission to a portal.
The customer sends a photo of the damage or the vehicle papers: the AI extracts plate and model, proposes the work, estimates hours and parts and produces the quote.
Automatic generation and translation of thousands of product sheets, with quality control and optimisation for search — including search inside ChatGPT.
Enquiry routing, automatic reminders to patients, instant search across the document archive with role-based permissions.
No, if the project is built properly. Your documents stay in a store you control; only the fragment needed to answer a given question is passed to the model, and you can choose infrastructure that does not use your data for training. Where the data is particularly sensitive we work on European servers or on models installed locally.
Almost never. In most cases the AI sits alongside your existing software, reading and writing through a connection we build. Replacing everything is the last option, not the first.
For a document assistant or a single automation, a few weeks. We always start with one module that solves a measurable problem: if it works we extend it, if it doesn’t you have spent very little to find out.
It is designed to get it wrong as rarely as possible, and so that when it does, someone notices. Every agent has written limits on what it may do alone, a full action log and a point where it hands over to a person. AI deciding on its own with no oversight is something we recommend to no one.
Often more sense than for a large one. In a three-person business, two hours a day recovered is an extra person. Small, well-targeted automations have the fastest return.
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