Microsoft 365 Copilot, rolled out safely
From use-case discovery to Microsoft Copilot rollout to prompt engineering and training: AI adopted with a security and privacy lens.
Copilot readiness: fix oversharing before you switch it on
Copilot doesn’t create new permissions — it inherits the ones you already have. Years of ad-hoc sharing links, over-broad Teams memberships and org-wide groups mean it can surface files people technically had access to but never knew existed. A Copilot readiness assessment starts there: we audit SharePoint and Teams for oversharing and permission sprawl before a single licence is assigned.
From there, the path is deliberate. Purview sensitivity labels go on first, so confidential content is marked and protected before Copilot can reason over it; Restricted SharePoint Search can act as an interim control while the cleanup runs, limiting Copilot to sites you’ve vetted. Then we switch it on for a pilot group, watch how it behaves against real data, and widen access once the results hold up.
From idea to everyday use
Use-case discovery
Find where AI saves real time — and where it doesn’t belong.
Copilot rollout
Microsoft 365 Copilot switched on safely: permissions and labelling first.
Prompt engineering
Prompts and templates for your real tasks, tuned for consistent results.
Team training
Teach your people to use it with judgment, in French and English.
Acceptable-use policy
Which tools, which data, which limits — written down clearly.
Guardrails & privacy
Keep sensitive information out of public tools.
AI, seen through a security firm’s eyes
Most AI advice skips the part that can cost you: privacy and security. We approach AI adoption the way we approach everything else — by protecting your data first. We tie it into your Microsoft 365 security, your Law 25 compliance and your team’s training, so the productivity doesn’t come at the price of risk.
- Security-first. SC-100, identity and governance.
- Practical. Results, not hype.
- Compliance-aware. Built around Law 25.
- Bilingual & local. Ottawa & Gatineau.
Frequently asked questions
Is it risky to use AI with company data?
It can be if you improvise. The main risk is pasting personal or confidential information into a public tool whose hosting and reuse you don’t control. We set clear rules: which tools are allowed, which data never leaves, and where to use an enterprise option that keeps your data under your control. Handled well, AI becomes a productivity gain without becoming a leak.
What is prompt engineering, in practice?
It’s the craft of phrasing requests so you get reliable, repeatable results instead of rough approximations. In practice, we build prompts and templates with you for your real tasks — drafting, summarizing, analysis — and train your team to use them. The goal isn’t magic; it’s consistent output you can count on.
Can you roll out Microsoft 365 Copilot?
Yes. Copilot draws on your Microsoft 365 data, so a successful rollout starts with security and governance: who can see what, which data is labelled sensitive, and what guardrails are in place. We prepare the ground, switch Copilot on where it adds real value, then train people to use it properly.
Does using AI put our Law 25 compliance at risk?
It can. Feeding personal information into an AI tool may count as a disclosure — even a transfer outside Quebec — under Law 25. Because we work in both cybersecurity and compliance, we fit AI into your existing governance: an acceptable-use policy, tool choices and, where needed, a privacy impact assessment.
Want the upside of AI without the headaches?
Let’s start with your real use cases and a safe way to get there.
Get in touch