AI automation for small businesses

Typical cases from everyday work

• Enquiries from the contact form and the inbox land sorted in one place instead of three.
• Quotes get built from a template with the customer data already filled in.
• Invoices go out on schedule, and a payment reminder follows on its own after the due date.
• Data moves between two programs that do not talk to each other.
• The report someone clicks together every Monday morning is simply there on Monday morning.
• Long documents get read and summarised into the three lines you actually need.

How it runs

1. 1 One call. You describe your week, I ask where it hurts. Costs you nothing.
2. 2 I write down the process exactly as it happens today, including the exceptions nobody documents.
3. 3 I build the smallest piece that already saves time, and you use it for a week.
4. 4 It goes live with a watchdog that tells me when it breaks, and a handover you can read.

What it costs

There is no list price, because the same sentence means two hours of work in one business and three weeks in another. What drives the price: how many steps the process has, whether your existing programs have a proper interface or need to be operated like a human would, how many exceptions exist, and whether everything has to run on your own hardware. You get a fixed price for a defined scope before anything starts, not an open hourly account.

What you get

• The automation runs on your accounts and your server, not on mine.
• The process written down in plain language, so the next person understands it.
• A watchdog that reports failures instead of failing silently.
• An off switch. Everything can go back to being done by hand.
• No subscription that you have to keep paying to keep your own process.

When AI is the wrong answer

Sometimes the honest fix is a template, a checklist or one setting in the software you already pay for. If that is the case I say so, and it costs you one call instead of a project. Work that happens twice a year is not worth automating. Work where a wrong result is expensive needs a human approving it, and I build that approval step in rather than pretending the machine is always right.