PERSPECTIVES
Articles and insights
Thoughts on automation, AI, security, DevOps, and human value in technology.
30 articles total
Autonomous AI agents and workflows: digital coworkers, not magic
What agentic AI actually does today — tools, cross-platform tasks, guardrails — and how SMBs can pilot without losing control.
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Multimodal AI: when text, audio, images, and video work together
Beyond chatbots — how combining modalities unlocks inspection, transcription, and document workflows for Quebec organizations.
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Prompting tips for leaders and teams (without the hype)
Practical prompting techniques that improve output quality — role, context, examples, and review — without turning everyone into prompt engineers.
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AI in Quebec: landscape, regulation, language, and local context
Bill 25, French-language requirements, Montreal's AI ecosystem, and what Quebec leaders should know before their first pilot.
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Context is everything: why windows, RAG, and business data matter
Why generic AI answers disappoint — and how context windows, retrieval, and your own data change the game for business use.
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AI governance for SMBs: a minimal framework that works
You don't need a 40-page policy — five decisions (tools, data, roles, review, escalation) are enough to start safely.
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Human-in-the-loop: where AI stops and judgment starts
Not every task needs full automation — a clear map of what AI drafts, what humans approve, and what stays off limits.
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Measuring AI ROI: metrics that convince skeptics
Time saved is not enough — a balanced scorecard for pilots: quality, cycle time, adoption, and risk avoided.
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Building company knowledge bases for RAG
Your policies, procedures, and project history can power better AI answers — if you organize them first.
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Change management for AI adoption: people before platforms
Tools don't fail — adoption does. How to communicate, train, and involve skeptics so your AI pilot actually sticks.
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Will AI replace our employees?
A frank answer for SMB leaders — what AI actually replaces, what it doesn't, and how to start without scaring your team.
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Is our data safe with AI?
Where AI data risk really comes from — and a simple framework to pilot safely without blocking useful gains.
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