Identity, hierarchy, and policy
Management groups, subscriptions, and role design that match how the organization actually approves change. Azure Policy and infrastructure pipelines enforce the guardrails instead of a wiki page that goes stale.
Cloud Services
Azure only pays off when the subscription, identity, network, and policy model is boring on purpose. Mentat builds that landing zone, then the automation that keeps it from drifting the week after go-live.
For government programs the same pattern moves into Azure Government: segmented networks, CJIS-aligned controls, and pipelines that can provision without a change ticket for every subnet.
What we put in place
Management groups, subscriptions, and role design that match how the organization actually approves change. Azure Policy and infrastructure pipelines enforce the guardrails instead of a wiki page that goes stale.
Hub-and-spoke or virtual WAN patterns, private connectivity, and segmentation between workloads. On regulated estates that includes the zero-trust VNet and ExpressRoute patterns we have already run in Azure Government.
Terraform (and the pipeline around it) so environments are rebuilt the same way they were designed. Jenkins, Azure DevOps, or the toolchain you already run — the point is repeatability, not a new religion.
When the workload cannot live in commercial Azure, we design for Azure Government: logging, encryption, network boundaries, and operational access that an auditor can follow without a reconstruction project.
From published case studies
These are results from specific Mentat government programs, not a promise that every estate lands the same numbers. Read the write-ups before you treat them as a forecast.
10 min
Deployment time on a large Azure Government estate
Automated provisioning cut deployment execution to about ten minutes, with zero downtime while dozens of applications moved. See the Azure Government CJIS case study.
100k+
Users on an automated provisioning platform
A separate government program replaced spreadsheet change control with an automation platform and drove daily outages down. See the 100,000-user automation case study.
800+
Virtual machines migrated under compliance pressure
An agency left end-of-life hardware for an orchestrated Azure Government environment with minimal application downtime. See the 800+ VM migration case study.
Frequently asked questions
A landing zone is the subscription hierarchy, identity, network, logging, and policy baseline that every workload inherits. Mentat builds it as code—typically with Terraform and the pipeline you already run—so the design and the running environment stay the same thing after go-live.
When residency, CJIS, or other government constraints require it. The automation pattern stays the same: segmented networks, policy as code, and repeatable pipelines. The cloud boundary and compliance evidence change. See https://www.mentat.cloud/case-studies/azure-government-cjis.
On a published Azure Government CJIS program, Mentat designed and managed a large-scale environment with zero-trust networking, CJIS-aligned controls, ExpressRoute connectivity, and automated workflows that reduced deployment execution to about 10 minutes, with zero downtime while migrating dozens of applications. Details: https://www.mentat.cloud/case-studies/azure-government-cjis.
On that CJIS-aligned Azure Government program, automated provisioning and orchestration cut deployment execution to roughly 10 minutes instead of slower manual infrastructure processes. That figure is a published case-study outcome, not a universal SLA. Read the write-up before treating it as a forecast.
Mentat built a secure automation platform for provisioning and configuration serving more than 100,000 users. Published results include deployment processes reduced to minutes, configuration jobs automated into 5–20 minute runs, and daily outages reduced to monthly occurrences. Details: https://www.mentat.cloud/case-studies/government-automation-100k-users.
Mentat migrated more than 800 virtual machines from aging end-of-life hardware into an automated, orchestrated Azure Government environment under stringent compliance pressure. Published outcomes include zero data corruption, minimal application downtime, owner-approved application validation, and policy-driven controls in the target environment. Details: https://www.mentat.cloud/case-studies/secure-vm-migration-800.
Identity and management-group design, Azure Policy guardrails, hub-and-spoke or virtual WAN networking that fails closed, private connectivity where required, logging and audit baselines, and infrastructure-as-code pipelines so environments can be rebuilt the same way they were designed—including the zero-trust VNet and ExpressRoute patterns used on published Azure Government programs.
Start with Azure Government CJIS at https://www.mentat.cloud/case-studies/azure-government-cjis, then the 100,000-user automation program at https://www.mentat.cloud/case-studies/government-automation-100k-users, and the 800-plus VM secure migration at https://www.mentat.cloud/case-studies/secure-vm-migration-800. Metrics on the Azure lander are taken from those write-ups.
Planning an Azure landing zone?
We can review subscription design, network segmentation, and whether Azure Government is actually required — then build the automation that keeps the landing zone honest.