AI automation
for Alberta operators

Where does AI actually help a company our size?

In the work that is too variable for fixed rules but still does not need a person's judgment. In owner-led operations that usually means:

• Reading and sorting what comes in. Purchase orders, invoices, field tickets, change requests and work orders arriving by email, pulled into the right system instead of retyped.
• Drafting a first version a person checks. A quote or estimate built from your own past jobs, a weekly report written from the numbers already in your systems.
• Flagging what needs attention. A job running over budget, a work order nobody has picked up, an invoice that does not match the purchase order.
• Answering routine questions from your own documents, so your most experienced people stop being the search engine for everyone else.

Where the rules are fixed and the inputs are clean, ordinary automation is usually the better choice. It is cheaper, more predictable and easier to maintain. Our business process automation page covers that side.

Where does AI not help?

• On a broken process. AI on top of a broken process gives you the same problem, faster. The steps that should not exist have to go first.
• When the information is scattered or inconsistent. If the same customer is spelled four ways across three systems, AI will not fix that. Cleaning it up comes first.
• Where a decision needs judgment and accountability. Pricing a risky job, handling an upset customer, deciding who goes where. AI can bring the right information to the person deciding. The decision stays with them.
• Where nobody will check the output. If no one owns the result, an error can run for weeks before anyone notices.

We already tried AI and it did not stick. Why?

Usually because the tool was laid over the workflow as it was, and the workflow did not change. Canadian businesses that have adopted AI describe the same thing. When Statistics Canada asked businesses using AI what they changed to make it work, the most common answer was developing new workflows, at 40.1 percent, followed by training staff, at 38.9 percent. The work is in how the job flows and in the people doing it, not in the subscription.

If you have not started, you are not behind. In the same survey, 12.2 percent of Canadian businesses reported using AI to produce goods or deliver services.

What happens when the AI gets something wrong?

It will, sometimes, so we design for it. Anything that goes to a customer, commits money or changes a price is checked by a person before it goes out. Numbers that have to be right, such as your rates and prices, come from your own records, not from the AI. And every output can be traced back to what it was based on, so a mistake can be found and fixed rather than argued about.

Should our people just use ChatGPT or Copilot?

For individual tasks, such as drafting an email or summarizing a long document, general tools help and cost little. Set clear rules about which company information can go into them. Our FAQ covers whether your data has to stay in Canada.

That is a different problem from the one on this page. A general tool helps one person do one task faster. It does not connect your systems, stop work waiting between people, or remove the retyping between your quote, your schedule and your invoice. Those need the work itself to change.

How do we know it is working?

A feeling that things are faster is not a measurement. Before we build, we measure what the work costs today, in labour hours and dollars, and that baseline is what everything is measured against. Your first build is live within 60 days of the engagement starting, and every 30 days you get a Value Creation Report showing labour hours recovered, how the automation is performing and the rolling return against what you pay us.

What does this look like in our industry?

• Construction and general contracting. Field-to-office information, change orders, RFIs and submittals, and cost tracking against the estimate.
• Manufacturing. Order intake, production scheduling, quality reporting and supplier coordination.
• Energy services. Field tickets, dispatch, compliance documentation and equipment maintenance across crews in different places.
• Property management. Maintenance requests, leasing enquiries, owner reporting and tenant communication.

How much does AI automation consulting cost?

LVRGWRKS prices against the value created, not the hours worked. Engagements run $4,500 to $8,500 per month with no upfront fee and no hardware cost, and the minimum term is three months from go-live. If the identified value does not support roughly a three to one return, we say so in writing rather than proceed.

The 60-minute Leverage Audit that comes first is free, and the Leverage Diagnostic after it is scoped and quoted in writing before any work starts.

Do we have to replace our existing software?

No. We build around the systems you already run and make them work together. No rip and replace, and no new platform your team has to learn.

What happens if we stop working with you?

It keeps running. Everything we build for your operation belongs to you from day one, and your data is yours without condition. Where an engagement uses a LVRGWRKS product module, you hold a permanent licence to keep running it.

Do you work outside Calgary?

Yes. We are based in Calgary and work across Alberta and Western Canada, Edmonton included. Most of an engagement runs remotely, with time on site where it matters.