Microsoft Azure
For a large share of the enterprise world, the cloud question was answered by the licensing agreement: you're a Microsoft shop, Entra ID is your identity plane, and Azure is where workloads go. The real question is whether your Azure estate is engineered or accreted — and whether the AI initiative stuck in review can clear it.
We do the engineering: landing zones with management groups and policy that auditors nod at, AKS run with genuine Kubernetes discipline rather than portal-clicked defaults, and Azure OpenAI deployments that put frontier models inside the compliance boundary you already govern — private endpoints, content filtering, and Entra-governed access. For regulated industries, that boundary is frequently what turns "compliance won't allow it" into a launch date.
AKS platform engineering
Production Kubernetes on Azure — workload identity, network policy, and node pools tuned to spend.
Azure OpenAI integration
Agents and RAG on frontier models inside your tenant, governed by Entra ID and private networking.
Landing zones and governance
Management groups, Azure Policy, and identity architecture that pass audit by design.
Data platform integration
AI workloads wired to Fabric, Synapse, and the SharePoint sprawl where enterprise knowledge actually lives.
Cost engineering
Reservations, hybrid benefit, and right-sizing — Azure economics treated as a design problem.
Azure OpenAI or the OpenAI API directly?
For regulated enterprises, Azure OpenAI usually wins on boundary: your tenant, your private endpoints, your Entra governance, your data-processing terms. The direct API moves faster on new features; we'll tell you which trade matters for your risk profile.
Our Azure environment grew without a plan. Fixable?
Yes — that's most Azure environments. We map what exists, establish landing-zone structure around it, and migrate workloads into governed subscriptions incrementally. No big-bang re-platform; steady convergence from sprawl to architecture.
Can agents built on Azure reach our Microsoft 365 data?
Yes — Graph API integration with proper consent and least-privilege scopes lets agents work with SharePoint, Teams, and Exchange content while respecting existing permissions. That's where enterprise knowledge lives, so it's where retrieval has to reach.
Put Microsoft Azure to work — in production.
One forward-deployed engineer, embedded in your stack, owning the outcome from discovery to production. Weeks, not quarters.
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