AI agency - Vancouver

AI agency in Vancouver

In British Columbia the question that stalls AI projects is rarely technical, it is where the data is allowed to sit.

Vancouver's buyers split across natural resources and their engineering supply chain, a large film and visual effects sector, public bodies and health authorities, and a technology cluster with strong ties to Seattle. The common thread is a cross-border question, because so much of the commercial gravity sits south of the line while the compliance gravity sits north of it.

The data residency question, accurately

BC public bodies operate under FOIPPA. The strict requirement that personal information be stored only inside Canada was relaxed in 2021, which is the part many procurement documents have not caught up with. What replaced it is an assessment obligation, meaning a privacy impact assessment that documents where data goes, who processes it and what the risks are. Private sector organisations fall under PIPA BC or PIPEDA depending on the activity.

The practical takeaway: do not let anyone tell you a cloud AI service is categorically off the table for a BC public body, and do not assume it is fine either. Produce the assessment. It is a document, it takes real effort, and it is the thing that unblocks the project.

Natural resources and engineering

Forestry, mining and the engineering firms serving them run on permits, environmental reports, First Nations consultation records, safety documentation and decades of technical reports. Retrieval across that archive, with citations, is immediately useful, because the current alternative is a senior person who remembers where things are. Extraction into structured records is the follow-on, and it is what turns a document search into an actual system.

Film and visual effects

Production and post-production carry two hard constraints. Content security requirements from studios are strict and specific, often audited, so any tool touching unreleased material has to fit that regime. And the labour agreements around generative content are live, evolving and worth being conservative about. The safe and genuinely valuable work sits in operations: scheduling, dailies logging, asset metadata, transcript search across footage libraries, and the vendor and invoice paperwork that eats production accounting.

Where we would start

• Write the privacy assessment early, in parallel with the pilot, rather than after it.
• Pick an internal-facing use case for the first project so the security review is proportionate.
• Decide the retention period for anything the AI system stores, since that question always arrives eventually.

Digiton builds and operates production AI systems from Lisbon, working in English and French with Canadian clients. An AI audit covers the compliance path alongside the technical scope.

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