Entrazure
Architect, build, run
Most firms sell one of the three and subcontract the rest. Splitting them is why so many estates arrive with a beautiful reference architecture and a production environment that resembles it only in the diagram. We do all three, which means the design we draw is one we have to live with.
Architect. The decisions that are expensive to reverse: subscription hierarchy, identity model, network topology, data residency, and the control set your auditor will ask about. The output is a written decision record with a reason attached to every choice.
Build. Terraform, Bicep, pipelines, semantic models, APIs, agents. Everything lands in your Git organization from the first commit, so ending an engagement in week two still leaves you holding the work produced up to that point.
Run. Monitoring, patching, cost control, licensing, and, where there is no IT director, the person who chairs the steering meeting and defends the budget in front of the board.
Entrazure is a Microsoft AI Cloud Partner and an Azure Solutions Partner, with legal entities in Canada and the United States. Security architecture is led by architects certified in information security management. We are a direct CSP, so we can bill and support your subscriptions ourselves, which is a separate decision from hiring us and never a condition of it.
Foundation
Azure landing zone design and deployment: the account hierarchy, policy set, identity model and network you build once and live with for years, deployed as code in four weeks.
Cloud migration and VMware exit: discovery, a dependency map built from observed traffic rather than an inventory spreadsheet, wave planning, cutover, and a rollback path that exists before the first server moves.
DevOps and infrastructure as code: pipelines that plan on pull request and apply on merge, with OIDC federated credentials instead of secrets that expire on a Saturday.
Managed Azure and FinOps: the operating model after handover. Patching, monitoring, budgets, and a monthly conversation about what the estate actually costs versus what it was forecast to cost.
Data and AI
AI engineering on Azure AI Foundry: retrieval, evaluation harnesses, content filtering and security trimming for AI workloads that have to survive contact with real data and real permissions.
Microsoft Fabric implementation: lakehouse, Data Factory pipelines and Direct Lake semantic models as one governed layer feeding both reporting and AI grounding, instead of two stacks that disagree.
Power BI semantic models and reporting: certified models with row-level security, so the number in the board pack matches the number in the warehouse.
Microsoft 365 Copilot deployment: oversharing remediation first, then a measured pilot. Copilot surfaces everything a user already had access to, which in most tenants is considerably more than anyone realised.
Azure integration services and API platform: API Management, Service Bus, Event Grid and Functions, with the contracts, retry behavior and failure paths written down before anything is built.
Security and compliance
Cybersecurity, Entra ID and zero trust: conditional access, Privileged Identity Management, Sentinel ingestion sized honestly, and Defender XDR run as one posture rather than four consoles nobody opens.
Compliance architecture: SOC 2, HIPAA, ISO 27001 and Loi 25 designed into the architecture and evidenced by the pipeline, so the audit exports evidence instead of assembling screenshots.
Commercial and leadership
Azure licensing through a direct CSP: subscriptions, licenses, consolidated billing and first-line support through Entrazure, priced separately from consulting so each can be judged on its own merits.
Fractional CIO and IT leadership: a named IT director for a fixed number of days a month, producing a roadmap, a budget and a risk register your board can read.
How an engagement is shaped
Every engagement starts with a fixed scope and ends with an artefact you own: a repository, a decision record, a control matrix, a roadmap. We do not sell open-ended retainers to begin a relationship, because a retainer hides whether the work is finished.
Delivery is senior-only. There is no model here where a principal presents and a junior implements six weeks later. If a sector shapes the constraints heavily, the industry pages carry that detail: healthcare is the sharpest example, because residency, audit logging and clinical system integration all land in the same architecture.
Where to start
If Azure is new or your estate grew without governance, start with the landing zone. If a VMware renewal is forcing the question, start with cloud migration. If an AI project stalled in month two, the blocker is usually data governance rather than models, which is a Fabric or compliance architecture conversation. If there is nobody accountable for IT at the leadership table, start with the fractional CIO.
If none of those describe the situation, tell us what does and we will say plainly whether it is work we should take. Who we are covers the entities, the partner designations and the two people you would actually be working with.