AI assistants and automations that save hours every week
Most businesses do not need an AI strategy. They need three or four specific jobs done faster, and the difficult part is working out which three or four.
Most businesses do not need an AI strategy. They need three or four specific jobs done faster, and the difficult part is working out which three or four.
So that is how we scope it. A two-week readiness audit lists the tasks worth automating, the ones that are not, and what each would cost to build and to run. Then fixed-scope builds on tools that exist today: Claude and GPT for language work, Gemini where Google Workspace is already the system of record, n8n or Make for orchestration, the WhatsApp Business API or your CRM for the handoff to a person.
Everything ships with evaluation attached. We score answers against a set of real questions from your inbox, watch the escalation rate, and count the hours saved. When the numbers say a workflow should stay manual, that is what the report says.
AI & Automation: what we do
AI search optimisation (GEO)
AI Overviews, AI Mode, ChatGPT search and Perplexity all answer by citing a handful of sources. Whether you are one of them comes down to the same fundamentals as ordinary search, plus a few specifics: short answer blocks near the top of a page, facts about your business that agree wherever they appear, and content written so a machine can lift a sentence without mangling it.
AI chatbot & knowledge assistant
Look at a week of your inbox and the same eight questions come back. Hours, price ranges, whether you cover a postcode, where an order is. An assistant that answers those from your own documents, and hands anything else to a person with the conversation attached, takes a real load off a small team without pretending to be a colleague.
AI workflow automation
Every business has work that follows rules and still gets done by hand. Enquiries copied into the CRM. Quotes rebuilt from a price list. Invoice chasers written from scratch. The Monday report assembled from four tabs. None of it needs a person, and all of it is currently costing you one.
AI voice agents
A missed call is usually a lost customer, and for a clinic or a trade the ones that go unanswered come in exactly when nobody can pick up. A voice agent answers on the second ring, works out what the caller wants, answers from your own information, books into the real calendar, and puts a person on when the situation calls for one.
AI CRM & WhatsApp agents
Two things quietly cost most sales teams more than anything else. Leads that went cold because nobody replied for six hours, and a CRM half full of records nobody could face completing. An agent working on the WhatsApp Business API and inside HubSpot, Zoho or Salesforce fixes both, under rules you set about what it may send on its own.
AI content operations
AI has made it trivially easy to produce a great deal of mediocre content, and plenty of companies have. Used properly it does something more useful: it makes a good editor two or three times faster, by taking the research summaries, the first-pass structure, the channel variants and the translations off their desk.
AI for ecommerce
There are four places AI reliably earns its cost in a store. Search that understands "warm jacket for hiking" rather than demanding the exact words. Recommendations tuned to margin as well as clicks. A support assistant that can actually see an order. And catalogue enrichment at a scale no one is going to do by hand. Everything else is worth waiting on.
AI readiness audit
Most AI projects go wrong before anyone writes code, by picking the wrong thing to build. Two weeks of proper investigation costs less than one abandoned pilot, and it produces a document you can hand to any developer, including one who is not us.
AI & Automation, answered
What can an AI assistant actually do for a small business?
Answer the 60–80% of website and WhatsApp questions that repeat: hours, pricing, stock, order status, whether you cover a postcode. Qualify enquiries before a human reads them, and book appointments into a real calendar. It cannot invent a policy you do not have, so we build it to hand over instead of guessing.
Which models and tools do you use?
Claude and GPT for most language tasks, Gemini when Google Workspace integration matters, n8n or Make for the plumbing, and your existing CRM or the WhatsApp Business API at the point of handoff. We choose per job rather than per vendor, and we keep you off per-seat AI billing wherever a flat API cost does the same work.
How much does an AI chatbot or automation cost?
A chatbot build starts at $6,000, with hosting and model usage from about $60 a month once live. A single workflow automation starts at $2,000. The readiness audit is $1,500 and comes off the price of the first build.
What happens when the AI gets something wrong?
It hands over. Every assistant has a confidence threshold and a route to a person, with the transcript attached so nobody has to ask the customer to repeat themselves. We also log every question it could not answer and review that log with you monthly. In the first quarter, that log is usually the most useful output of the whole project.
Is our data safe?
Your documents sit in a retrieval index we host for you, and nothing you upload is used to train a third-party model. Data flows are written down in the audit, before anything is built, and we sign an NDA before we see the first file.
Tell us what is not working in ai & automation.
One reply from the person who would do the work, within a business day, including if we are the wrong fit.