Microsoft 365 Copilot that works for you.

Frequently asked questions

Frequently asked questions about Copilot.

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• How do you manage oversharing during deployment?

  Copilot sees everything a user can already open, including content overshared on SharePoint, Teams or OneDrive over the years. We therefore start every project with a permissions audit: a Purview audit of existing permissions, a scan of broadly open SharePoint sites, the rollout of Sensitivity Labels and DLP, and enabling Restricted SharePoint Search (RSS) where needed. This audit comes before every pilot.

• Is my confidential data protected with Copilot?

  Yes. Microsoft 365 Copilot operates inside the Microsoft 365 trust boundary, in your tenant's region (Canada or European Union). Your data stays in your tenant, serves only your users and remains excluded from model training. It stays subject to the same Purview classification and DLP policies as your existing SharePoint and Teams documents. Microsoft is certified SOC 2 Type II, ISO 27001 and ISO 27018, and the platform helps you comply with Law 25 and the GDPR.

• What technical prerequisites are needed before deploying Copilot?

  An eligible Microsoft 365 license (Business Standard, Business Premium, E3 or E5, among others), properly classified data (Purview Sensitivity Labels), access governance in place (Conditional Access, MFA, guest management), a completed SharePoint oversharing audit, and an adoption plan prioritized by business role. We systematically assess your Microsoft 365 maturity before deployment. This foundation makes your return on investment measurable.

• How do you drive Copilot adoption?

  We build for adoption from day one: (1) selecting 5 to 10 priority use cases per department, (2) contextual training by role (HR, Finance, Sales, Marketing, Legal), (3) trained internal champions, (4) weekly usage measurement via Viva Insights, (5) continuous adjustment during the first 90 days. A 4-to-6-week pilot on 20 to 50 users validates the use cases before scaling.

• What about Copilot errors or hallucinations?

  Microsoft 365 Copilot is less prone to hallucinations than public LLMs because it is grounded in your data via Microsoft Graph (RAG architecture). It can still misinterpret an instruction, miss context, or present an answer with misleading confidence: your users keep the final say. Our method: (1) training users in prompt engineering, (2) governance of source-data quality, (3) a culture of systematic verification, (4) integration into the internal usage policy. Reliability depends as much on your data as on Copilot itself.

• How long does it take to deploy Copilot in my organization?

  For a pilot (20 to 50 users with priority use cases): 4 to 6 weeks. For a full deployment including oversharing preparation, Purview classification, change management and adoption measurement: 3 to 6 months depending on your size and Microsoft 365 maturity. We always proceed in phases (preparation → pilot → measurement → progressive rollout). A phased rollout ensures lasting adoption.

• Can Copilot be customized for our specific business needs?

  Yes, via Copilot Studio. We design custom agents grounded in your business data: an HR assistant connected to your internal policy, a support agent connected to your knowledge base, a sales copilot connected to your CRM, a legal agent connected to your case law. Each agent respects the permissions and Purview classification of the user querying it. For more advanced use cases (complex business integration, large-scale data processing), we combine Copilot Studio with custom solutions in Microsoft Foundry.

• What realistic ROI can we expect?

  According to the Forrester TEI Copilot study (Microsoft, 2024) and the results observed across our clients: 2 to 5 hours saved per user per week, with the greatest effect on document-heavy roles (managers, HR, sales, finance, legal). The calculator above gives you a quantified estimate. The real ROI depends heavily on the quality of your data and the level of adoption: structured preparation and support maximize the return.