Customer support
Answers email and chat using your material only, cites the source it took the answer from, and hands the conversation to a person when the question falls outside its remit.
Not a chatbot. A digital employee that knows your company, works around the clock and gets better every week. Tailored to your industry.
Every week your agent learns from your processes, your documents, your conversations. It's not software that ages: it's a resource that sharpens.
While your team sleeps, the AI department comes online: every agent in place, every process moving. A whole operation that switches on without a single hire.
First agent live
within 48 hours
You don't pay per head: run one or ten without changing licence. What you pay is model usage, under a monthly cap we agree on and you can always see.
They reply, process and move work forward at night and on weekends too. Your human team focuses on what matters.
Trained on your processes, documents and tone of voice. Not generic answers: decisions in the context of your company.
Continuous monitoring, security and changes included. We keep them reliable over time, so you don't have to.
Leads, cases handled, revenue. An AI agent only makes sense when it moves a metric that matters to you — and it shows.
An AI agent only makes sense if it moves a number that matters to you. A few examples by industry:
Automated research, drafts and follow-ups. More content published, more conversations opened with potential clients.
It sorts matters, drafts documents and keeps deadlines in check. Less repetitive work, more billable hours.
It answers enquiries, qualifies buyers and books appointments while you're out on a viewing.
It handles enquiries, returns and product questions 24/7, integrated with your store.
It answers people asking for an appointment, offers the free slots, reminds them of preparations and documents and follows up with anyone who missed a visit. Diagnosis and clinical decisions stay with the doctor.
It gathers the details of a claim in one place, flags renewals before they lapse and prepares the file before a person looks at it. Risk assessment and negotiation stay with you.
It answers questions on opening hours, prices and free trials, books trial sessions and reminds members before their membership runs out. It flags who tried and didn't sign up.
It replies while you're with a client and can't pick up the phone, books and moves appointments, sends reminders and gets back in touch with clients who haven't been in for a while.
One role,
one defined job
An agent is not a general-purpose tool you throw everything at. It is a role with a defined job, a boundary and a set of rules. These six cover almost every request that reaches us.
Answers email and chat using your material only, cites the source it took the answer from, and hands the conversation to a person when the question falls outside its remit.
Reads calendar availability, offers slots, confirms, sends the reminder and reschedules when the client asks to move.
Reads incoming PDFs, invoices, delivery notes and email, extracts the fields you need and writes them into your management system. Manual re-typing disappears.
Qualifies enquiries coming from the website, asks the questions you would ask, and hands you the contact sheet ready before you pick up the phone.
Semantic search across years of documents: ask in plain language, get an answer citing the file and the page. It finds what you had forgotten you had.
Product sheets, standard replies, draft quotes and emails. It writes in your company tone and always goes through human review before anything goes out.
If the job you have in mind is not on this list, it is almost always a combination of two of these.
We treat it like a person joining the company: explain the job, hand over the material, run a trial period, and only then let it work on its own.
We define the job: what it does, when, what it may decide on its own and what has to go to a person. The quote comes out of this, within 24 hours.
We give it your documents, your house rules and your tone of voice. It learns how you answer, not how a generic assistant would.
It works alongside your team: a person sees every answer before it goes out. We measure where it gets things wrong and correct it until it stands on its own.
It goes live with a full log of everything it does, an agreed monthly spending cap and a switch to stop it at any moment.
An agent has to run somewhere, and that is not a technical detail to leave to us: it decides where your data ends up, what it costs over time, and what happens the day the line goes down.
The agent uses frontier models through their API. The normal route, and the one nine clients out of ten pick.
It makes sense when you need the most capable model available and your workload changes from month to month.
We install the machine at your premises and run the AI on it. The document goes in and comes out of the same room.
Sized for a small company: one department, a handful of people at a time. In exchange for confidentiality you accept two true things: open models are less sharp than the best cloud models, and the machine takes up space, draws power and needs updating. We handle the updates, but they exist.
Rule of thumb: if the data is sensitive, if a contract forbids sending it outside, or if your connection is not dependable, the work stays in the building. Otherwise the cloud costs less and delivers more. And nothing stops you running both — the confidential archive on the machine on site, everything else in the cloud.
We would rather tell you before the quote than discover it together in month three.
On anything with legal or financial consequences it prepares, proposes, summarises. The signature stays with a person, and rightly so.
For the first few weeks someone has to read what it produces. Anyone promising total accuracy from day one is selling an idea, not a system they have run in production.
It takes away repetitive work, not jobs. Companies that use it well move those same hours onto work worth more: this is not a polite way of saying something else.
Processes change, documents get updated, models move on. An agent left alone gets worse: maintenance is a planned cost line, not an extra.
A first agent on a well-defined job goes to work within 48 hours of the go-ahead. For a full project, with management-system integrations and a trial period, the realistic window is one to four weeks.
Two lines, both written into the quote. Model usage, charged per call and kept under a monthly cap we agree with you, and maintenance, which covers fixes, updates and changes to the rules. On the on-site version the per-call usage disappears and what remains is the electricity the machine draws.
No. We use configurations and contracts under which the data sent is not used for training, with zero-day retention wherever the provider allows it. If that is not enough for you, or a contract forbids sending documents outside, there is the on-site version: the data never leaves your network.
During the trial period every answer goes past a person, so we see the mistake before your client does. In production the agent is set to say it does not know and hand over rather than invent, and every action it takes stays in the log: you can always trace what it did, when, and on which document.
Yes. We install a mini-PC with a dedicated GPU at your premises and run open-weight models on it: the document goes in and comes out of the same room, with no outbound calls. This is the route for professional firms, healthcare, made-to-order manufacturing and anyone with contractual limits on data handling.
A compact machine with a dedicated GPU: it sits on a desk or in a rack cabinet, plugs into the company network and asks for nothing else. You can buy it and we configure it, or we supply it ready as part of the project. Either way the machine is yours: if you part ways with us, the agent keeps running.
That is precisely why it is worth training it on your documents instead of using a generic assistant. An agent trained on your jobs recognises your part numbers, your acronyms and the way your clients phrase their requests, abbreviations included.
We do, as part of maintenance: when a price list, a procedure or a module changes, we update the material the agent works from. We also leave you the panel to upload new documents yourself, if you would rather keep that in-house.
Tell us what eats your time. We design the right AI employee and put it to work. Free quote within 24 hours.