For AI sensitive RAG/Search: I suggest route to Cohere. Their "Command R+" model is purpose-built for grounded citations, and their Toronto HQ status uniquely aligns them with PIPEDA.
Your stack isn't one LLM. It's a governance layer routing traffic based on sovereignty profiles.

For AI, a defensible stack is routed based on risk.
Don't use a sledgehammer for a finish nail.
👉 My suggestion for general productivity: Default to Azure (Toronto/Quebec regions) for deep O365 integration and robust data residency controls.

🚨Found a massive compliance gap in most Enterprise AI setups this week.

If you spin up Azure OpenAI, you assume it's private. No.

By default, MSFT keeps your prompts & completions for 30 days for "abuse monitoring." Human reviewers can access this.

The decision matrix for banking and insurance fiduciaries has inverted. We stop solving for "max raw reasoning power" and start solving for "guaranteed Canadian legal jurisdiction". Mixing these priorities introduces unacceptable regulatory risk.

The era of the single "God Model" for enterprise is over. In 2026, Canadian governance demands a "Multi-Model Governance" strategy. It’s no longer about which model is smartest; it’s about which model’s jurisdiction is defensible.

Tracking the collision of enterprise AI & workforce behavior.

Professor, researcher, & change strategist in Toronto.

Focus: Helping orgs navigate enterprise AI adoption without losing the human element.

Welcoming connections with researchers & practitioners tackling this.

brianjhu.com