19.2%
of Canadian businesses used AI to produce goods or deliver services
Up from 6.1% in 2024.
AI at work, grounded in Canadian context
Turn AI experiments into work that holds up.
Start with one real task, measure what changes, and build a workflow people can use with clear review and information boundaries.
A useful AI adoption loop
Work, evidence, review, repeat
- 1Choose one recurring workflow
- 2Record the current time and quality
- 3Test with human review
- 4Keep the result and operating boundary
Choose a practical starting point
Where should AI create value first?
Start with the closest fit. Your selection stays on this device when you return.
The Canadian adoption gap
Use is growing faster than operating capability.
The opportunity is no longer basic awareness. It is helping people move from occasional use to work that is repeatable, reviewed, and worth keeping.
35.9%
of Canadian workers used generative AI at work
Professional, scientific, and technical services reached 65.6%.
44.4%
of AI-using businesses changed training or staffing practices
Only 32.0% reported AI training for existing employees.
From experimentation to evidence
Build capability around the work, not the tool.
- 01
Map the work
Find a recurring task with a clear owner, input, output, and point of review.
- 02
Set a baseline
Record time, corrections, completion, or another measure before changing the workflow.
- 03
Run a bounded test
Use AI on real work for a defined period while a person checks every consequential output.
- 04
Keep the evidence
Retain the useful prompt, source boundary, review checklist, result, and next decision.
Useful AI still needs a responsible operator.
Canadian privacy, professional, employment, and sector obligations continue to apply when AI is part of the workflow.
AI can support
- Drafting and restructuring
- Comparing options or documents
- Practising a conversation
- Organizing a review
People retain
- Professional judgment
- Fact and source verification
- Consent and information control
- Responsibility for decisions
For Canadian teams
Bring one real workflow to the first conversation.
A useful pilot begins with the work, the people responsible for it, and the result that should improve. Technology selection comes after that.
- One recurring process
- A small participating team
- A measurable baseline
- Clear review and information boundaries