AI & Automation Systems

Start with what the task costs you

Before anyone writes code, we sit down with whoever does the work and time it. Say your office manager spends three hours a week copying quote requests from the website into a spreadsheet and emailing a price back. At $35 an hour that is about $5,500 a year, before you count the quotes that went cold because nobody answered until Thursday.

That number goes in the written scope, next to the price of the build. If the system pays for itself inside a year or two, it is worth building. If it does not, we will tell you, and you keep doing it by hand.

What we have built

For Apex Outbuildings, an AI agent drafts a blog post on the first Monday of each month and emails one approval link; nobody at Apex writes or posts anything. On the 4th, a second job pulls the month from Google Analytics and Search Console and assembles the report on its own.

For an industrial shop south of Edmonton, we built a time clock and job tracker that runs on tablets at each bay. Crews punch in with their number, the system works out Alberta overtime, asks anyone who forgot to clock out when they actually left before payroll runs, and keeps punching when the shop Wi-Fi drops. Each job carries its hours from quote to invoice.

For Game On Sherwood Park, the events page reads the venue's Eventbrite listings every thirty minutes, so the site stays current without anyone logging in.

Where AI earns its place

AI is good at reading and writing. It can sort an inbox, turn a voicemail into a job ticket, draft a reply in your voice, or boil a week of timesheets down to a few lines for the owner. It is bad at anything that has to be right every single time, like a payroll total or a price on a quote.

So the split is simple: AI drafts, code does the math. Nothing leaves the building until a person approves it, and that step is what lets you trust it in week one.

A fixed price, then a monthly

You get a written scope and one price for the build. A small automation attached to a site you already have is a small project. A system that runs part of the business, like the time clock above, is a bigger one.

Systems need someone watching them, so most run on a monthly plan that covers hosting, monitoring, backups and small changes. When a new tool replaces an old process, we run them side by side until the new one matches, so a payroll never depends on a system nobody has tested with real hours.

How we build it

TypeScript and Next.js on Vercel, Postgres when there is data to keep, scheduled jobs for the things that run on their own, and the APIs of the software you already pay for. The AI models come from the major providers and only see what a task needs. Everything is documented, and your data can be exported whenever you want it.