AI consulting - Canada

AI consulting in Canada

In Canada the two questions that stop AI projects are where the data physically sits and whether the French output is good enough to put in front of a customer in Quebec.

Canadian buyers rarely need an argument for automation. They need a system that satisfies federal privacy law, provincial rules that in Quebec are stricter than the federal baseline, and a procurement process that asks about residency before it asks about capability.

Residency is an architecture decision, not a checkbox

Every major model provider now offers Canadian or North American regions through the large cloud platforms. The decision is not whether residency is available, it is which parts of the pipeline need it. Retrieval indexes and stored documents almost always do. Inference sometimes does. Logs and traces are the ones people forget, and they usually contain the same personal data as the request that produced them. Decide this before the first prototype, because moving a populated vector index across regions is a migration, not a setting.

Quebec Law 25 changes the human role

Law 25 gives people a right to be informed when a decision is based exclusively on automated processing, and a right to have someone review it. Read plainly, that means two build requirements: a notice at the point the decision is delivered, and a review path where a person can see the inputs and reverse the outcome. Federal PIPEDA reform is heading in the same direction. Building to the Quebec standard nationally is cheaper than maintaining two systems.

Bilingual systems fail quietly

The common mistake is an English system with French translation on the output. It reads acceptably and it is wrong in the ways that matter, because retrieval was done in English over documents that exist in both languages, so the French answer cites the English source and drifts from the French one. What works: index both language versions, retrieve in the language of the question, generate in that language, and hold a separate evaluation set per language. Digiton works in English, Portuguese and French, and runs French evaluation as its own gate rather than a spot check.

What a first engagement looks like

Two weeks of discovery producing written answers on the process, the data, the sign-off and the failure path, then a fixed-scope build of six to twelve weeks, then an operating retainer. Digiton is a Lisbon based AI agency and product studio with production deployments across 8 countries, and operates its own product, Parci, which analyses 308 Portuguese municipalities and returns a report in 47 seconds. Start with an AI audit.

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