Deop helps Canadian teams adopt GitHub Copilot and Microsoft 365 Copilot, stand up secure AI landing zones on Azure, and build the skills to use them — with governance and responsible-AI guardrails from the start.
Get a Free AssessmentAI only pays off when it's adopted safely and actually used — not switched on and left to chance. Deop helps Canadian organizations roll out GitHub Copilot and Microsoft 365 Copilot with the governance, licensing, and change management that make adoption stick, and stands up secure AI landing zones on Azure AI Foundry so you can build with models on your own data inside your compliance boundary. We pair the platform with enablement: responsible-AI guardrails, prompt and workflow patterns your teams will actually use, and hands-on training that builds lasting capability rather than a one-off demo. Whether you're enabling developers with Copilot, launching an internal AI assistant, or upskilling engineers on cloud and DevOps, we make AI a governed, productive part of how your teams work — within Canadian data-residency requirements.
GitHub Copilot and Microsoft 365 Copilot rollout — licensing, governance, and adoption support that turns access into real productivity.
Secure AI landing zones on Azure AI Foundry — build with models on your own data, inside your compliance and data-residency boundary.
Hands-on enablement and training — responsible-AI guardrails plus cloud and DevOps upskilling that builds lasting team capability.
We enable AI on the Microsoft stack, governed end to end. Developer productivity runs on GitHub Copilot; workplace AI on Microsoft 365 Copilot; custom AI on Azure AI Foundry and Azure OpenAI, grounded on your data with Azure AI Search. Guardrails come from Entra ID, Microsoft Purview, and responsible-AI policies, with usage and cost tracked in Azure — so AI adoption is measurable, secure, and inside your compliance boundary.
Adoption beats installation. We assess where AI helps most, pilot with real users and guardrails, then scale what works and build the skills to sustain it.
Assess and prioritize. We identify where Copilot and custom AI deliver real value, review your licensing, data, and compliance posture, and define governance and responsible-AI guardrails before anything rolls out.
Pilot with guardrails. We enable Copilot for a focused group or stand up a secure AI landing zone on Azure AI Foundry, with policies, monitoring, and success measures in place from day one.
Enable and train. We drive adoption with hands-on training, prompt and workflow patterns, and internal champions — turning access into everyday productivity across engineering and the business.
Scale and govern. We extend what works across teams, keep usage, cost, and risk visible, and evolve guardrails as Microsoft's AI capabilities — and your needs — grow.
