AI development and automation for Canadian businesses

What Canadian teams ask us to build

The requests are practical. Clinics want intake and reminders handled, trade suppliers want quote requests sorted, accountants want documents read, and online stores want after-hours support in two languages. Each maps to one of four builds.

If you are not sure where to start, begin with the process that costs the most hours and has the clearest right answer. Invoice entry, appointment reminders and enquiry sorting fit that description. Creative or high-stakes decisions can wait until the simple workflows are stable and your team trusts the logs.

Privacy comes first in Canadian AI projects

Any AI system that reads customer messages or documents handles personal information. In Canada that brings PIPEDA into the design, and for people in Quebec, Law 25 as well. The Office of the Privacy Commissioner has published guidance on generative AI, and it is worth reading before you choose a vendor.

• Say plainly when a person is talking to a bot, and offer a route to a human.
• Collect only what the task needs, and decide how long chat logs and documents are kept.
• When data goes to an AI provider or to our team in India, the transfer should be covered by contract and described in your privacy policy. Quebec has extra steps for sending data outside the province, including an impact assessment.
• Where a decision is made only by automated processing, Quebec's law has disclosure and review rights. We design a human check for those cases.

Planning notes, not legal advice. Your lawyer confirms what applies to your business.

English and French support

A Canadian support bot often has to switch language mid-chat. We write the system prompt, test set and fallback messages in both languages, and have a French speaker review the answers before launch. Quebec customers notice stiff or European-sounding French, so the tone is tested with Quebec examples.

Messaging and CASL

Automations that send email or text messages fall under CASL when the message is commercial. That means an identified sender, a working unsubscribe and a consent basis you can show. We build the consent record and the unsubscribe step into the workflow, so a follow-up sequence does not break the rule by accident. See our AI automation cost guide for how scope affects price.

Tools and where the data sits

Before any build we list every system the data touches. Canadian buyers, and their lawyers, usually want this map more than they want a model name.

Anything unclear goes into a short written note you can pass to counsel. Cutting a field out early is cheaper than removing it from logs later.

How a project runs

1. Scope callWe pick one process with clear volume, then send a fixed quote within one working day.
2. PrototypeA working version on a sample of your real questions or documents.
3. Test with your teamWrong answers are logged and fixed before customers see anything.
4. Launch and watchLogs, costs and handoff rates are reviewed in the first weeks.

Calls fit Canadian mornings, which are Indian evenings. 9:00 in Montreal is 19:30 in India in winter. The Pacific coast is the hardest slot, so we agree a fixed weekly time and use written updates between calls.

Pricing

Projects start at $1,500 and our rate is $30 an hour, in US dollars. Price moves with the number of systems connected, the languages and the volume. Model usage fees from OpenAI or Anthropic are paid by you, directly. The AI chatbot cost guide shows the ranges. For a quote, use the contact page.