Loi 25 and AI at Work: A Practical Approach for SMBs
Assess recurring workflows instead of every click, then use business accounts, simple data zones and gradual access to make everyday AI practical.
Read more →Insights on AI governance, adoption, and the future of responsible AI
Assess recurring workflows instead of every click, then use business accounts, simple data zones and gradual access to make everyday AI practical.
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A useful assessment should leave your business with decisions, owners, evidence and a 90-day execution path—not just a maturity score.
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A successful demo proves possibility. Daily operations require ownership, production data, acceptance criteria, human controls, training, and monitoring.
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When key people retire or leave, years of decisions, workarounds, and relationship context can leave with them. A practical three-layer model helps preserve what the business knows.
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A website can be easy for AI to read and still weak as a source. Here is what makes a Canadian SMB easier to cite, verify, and recommend.
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A polished professional site can still be invisible to ChatGPT, Claude, and other AI systems when robots.txt blocks the crawlers they rely on.
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The model is becoming the consumable. The durable asset is your data layer: prompts, evaluation sets, retrieval corpus, and audit logs.
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SynthID just watermarked 100 billion AI outputs. The deeper signal: AI is starting to govern AI — and the human auditor’s role moves up a level, into designing the rule the governing layer enforces.
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Quebec’s CAI is shifting from collaboration to enforcement. Section 12.1 covers more AI tools than most organizations realize — here is how to inventory your AI surface area before an auditor does.
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Canada has no federal AI law. Most organizations took that as permission to wait. Meanwhile, Quebec’s Law 25, Ontario’s hiring disclosure mandate, and the EU AI Act moved ahead without them.
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Shadow AI is not a security problem you solve by blocking URLs. It is a governance gap you close with structure. Here is what ISO 42001 and approved-tool enablement actually deliver.
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Canada’s AI and Data Act died on the order paper. Here is what is actually enforceable right now, what is coming from outside Canada’s borders, and what you should be doing regardless.
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How the Canadian Armed Forces’ quality management system principles apply directly to AI governance and responsible adoption.
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