A person approves first
Nothing customer-facing or financial goes out until someone on your team approves it. That is the default, and we write down any exception you choose.
AI automation for Alberta small and mid-sized businesses: quote requests drafted from incoming email, job reports built from site photos and voice notes, invoice line items read into your books. One workflow at a time, a person checks anything that reaches customers or the books, and each workflow starts from $3,500.
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A sample request moves through a typical AI automation. The AI reads it and drafts the result, a person approves it, and only then does it go out. Pick a sample, press play, and press Approve when it reaches the gate.
In
Hi, can you price a steel frame, 40 x 60 ft, for our yard south of Leduc? We need it by 14 November. Thanks, Dana Ridge Fabrication
The AI drafts
A person approves
Anything customer-facing or financial stops at the gate. A person fixes the flagged field and approves, or sends it back.
Out
A request lands the way it already does: an email, a photo with a voice note, or a supplier PDF. Nobody has to learn a new form.
A language model pulls out the fields that matter and builds a draft. Anything it is unsure about is flagged instead of guessed.
Anything customer-facing or financial stops at the gate. A person fixes the flagged field and approves, or sends it back.
Once approved, the result goes to the customer, your records and your books, with a log of what the AI saw and who approved it.
Sample data and a simplified model. A real workflow is built around your documents, tools and approval rules.
Nothing customer-facing or financial goes out until someone on your team approves it. That is the default, and we write down any exception you choose.
We document what data each AI step can see, and keep personal information out of the prompts where possible.
AI models come from third-party providers and some process requests outside Canada. We tell you which provider and region each step uses, and choose settings that keep your business data out of public model training where the provider offers that control.
Requests arrive by email, web form and text, each worded differently. Someone has to read them, work out scope and build a price, and the work often goes to whichever competitor replied first.
Site photos, voice notes, time sheets and supplier invoices pile up. Turning them into job reports and accounting entries happens after hours, by the person who should be resting or selling.
Someone signed up for a chatbot, pasted in a customer list and got confident nonsense back. Nobody knows where that data went, and the subscription still renews on a company card.
Incoming requests are read, sorted and matched to your price book. An estimator opens a drafted quote with the source email beside it, corrects what needs correcting and sends it.
Photos, voice notes and hours from the crew become a structured job report in your format. The supervisor checks it, adds what only they know and signs off.
Customers and staff get answers drawn only from your own policies, manuals and SOPs, with the source shown. Anything unclear, unusual or sensitive goes to a named person instead.
Each step is documented: which provider runs it, in which region, what data it receives and who approves its output. You can answer a customer's privacy question without guessing.
A readiness check: we sit with the people doing the work, measure how often the task happens, find where the data lives and decide whether AI is needed at all.
We pick one workflow, write down what the model may see, choose the provider and region, and decide where a person approves before anything leaves the building.
We build the workflow against a sample of your past emails, invoices or reports, with the personal details removed, and measure where it gets things wrong.
It runs on real work with the approval step switched on. Your team reviews every output for the first weeks, and every correction is logged so we can see patterns.
We tighten prompts and rules using the correction log. Only when one workflow is dependable do we widen it to more cases or start the next one.
AI automation helps most in Edmonton businesses where a workflow reads messy input and produces a draft, which a person checks and sends. Glasshead Tech builds these one workflow at a time, from $3,500, in 2–6 weeks each, starting with the job that eats the most hours.
Trades usually start with quoting and field reports, as our page on software for contractors and trades explains.
Often ordinary automation is enough. If the input is already structured, such as a form field or a spreadsheet column, fixed rules do the job more cheaply and never improvise. AI earns its cost only on unstructured input: free-text email, scanned paperwork, photos or speech.
| Option | Best for | From |
|---|---|---|
| Workflow automation | Structured data moving on fixed rules | $2,500, 2–4 weeks per workflow |
| AI automation | Email, documents, photos or speech | $3,500, 2–6 weeks per workflow |
| Custom software | A whole process with its own screens and users | $18,000 – $50,000, 8–16 weeks |
Language models write fluent text whether or not it is correct. They misread handwriting, invent a plausible line item or miss a condition buried in an email. That is why every output stays a draft, shown next to the document it came from, until a person approves it.
A workflow costs from $3,500 on a fixed written quote and is running within 2–6 weeks. Ongoing costs are the provider's usage fees, usually billed to your own account, plus any hosting. You own the prompts, code, configuration and accounts, and the handover documents how each piece works.
Each AI workflow starts from $3,500 in CAD and takes 2–6 weeks, and the figure is fixed in writing before anything is built. Cost moves with the variety of input it has to read, the systems it writes to and how much checking the results need. Model usage fees are separate, depend on volume and are billed to your own provider account where possible.
No, and we do not design it to. The workflows we build prepare drafts: a quote, a report, a batch of invoice lines. Your staff review, correct and approve them, which is faster than starting from a blank page. The aim is to give hours back for work that needs judgement, such as pricing awkward jobs or calling customers.
The design decides it. Prompts carry as little personal information as the task allows, you know in writing which provider and region handle each step, and training on your data is switched off wherever the provider offers that option. Depending on the provider, some steps may run outside Canada, and you are told which ones before approving the build.
Model usage fees, licences for software you already use and changes to systems outside the agreed workflow are not included. By default, a person signs off every customer message and every financial entry, and we do not remove that step without your written instruction after a supervised trial. Projects covering several whole processes are quoted as custom software instead.
Yes. Quoting and field paperwork are common starting points for trades. Crews send photos, voice notes and hours from a phone, and the workflow turns them into a job report for a supervisor to check. Capture is built to tolerate poor signal and sync later, so a site with weak reception still works.
Yes. If you want advice before committing to anything, AI readiness can be assessed through our IT consulting service, where assessments start from $1,500. You get a written list of the processes worth automating, the ones that are not, whether each needs AI or plain rules, and what each would cost to build.
Glasshead Tech builds business automation for Alberta companies, so nobody re-keys data between the tools they already pay for: quotes become invoices, web enquiries land in the CRM with an owner, and reports assemble on schedule. Each rule-based workflow costs from $2,500 CAD, takes two to four weeks and is quoted fixed before work starts.
Glasshead Tech does custom software development in Edmonton, building the systems Alberta companies run daily operations on: quoting, scheduling, job costing, safety documentation, field capture, client portals and booking. Builds cost $18,000 to $50,000 CAD and take 8 to 16 weeks, with a fixed quote before coding starts. You own the code, data and accounts at handover.
Glasshead Tech sets up data analytics for Edmonton businesses as one trusted view of the few numbers that run the company, pulled automatically from accounting, job costing, CRM, e-commerce and spreadsheets. It is built in Power BI or as a custom dashboard, from $4,500 over 3–6 weeks, priced in writing before any work.
Send a short description of the process, a few anonymised examples if you have them and the tools involved. We reply within 24 hours and tell you honestly whether AI belongs in it.