GMS Azure Adoption Pathway
Cloud strategy, landing zone deployment, workload migration, and continuous operation under a single accountability line.
Strategy. Architecture. Migration. Operation. One team from the first business case to the nth Well-Architected Review.
The GMS Azure Adoption Pathway moves organisations from current-state assessment through to fully operated Azure environments. The methodology uses the Microsoft Cloud Adoption Framework, deploys against Microsoft-validated Landing Zone reference architectures, and is assured against the Well-Architected Framework. It is delivered by a team that has held the Microsoft Audit-Verified Azure Migration Specialisation since its introduction.
Aligned to Microsoft frameworks by design
Why organisations engage us
Most Azure programmes fail on an architectural foundation they never built. Workloads are migrated before the landing zone is designed. Identity, networking, and governance are retrofitted after the first incident. Cost runs ahead of the business case within two quarters because no FinOps discipline was established at the start. By the second year, the organisation is operating an unmanaged sprawl that performs no better than the data centre it replaced — and costs more to run.
The Pathway addresses this by sequencing the work in the order Microsoft itself recommends: strategy and business case first, landing zone and governance baseline second, migration waves third, and continuous operation fourth. The same team designs the architecture, deploys the landing zone, runs the migration, and operates the result. There is no handoff between strategy and delivery, and no handoff between delivery and operations.
Our approach
The Pathway is delivered in four sequenced workstreams. Each can be engaged independently for organisations that already have parts of their cloud programme in place.
Assess
A structured discovery against the Microsoft Cloud Adoption Framework. Outputs include a current-state inventory using Azure Migrate and dependency mapping tools, a workload disposition matrix (rehost, replatform, refactor, retire, retain), a target-state architecture aligned to the Azure Landing Zone Accelerator, a total cost of ownership model with three- and five-year projections, and a phased migration plan with named waves and dependencies.
Typical duration: 4 to 8 weeks depending on estate size.
Implement
Deployment of the Azure Landing Zone, identity and governance baseline (Microsoft Entra, Azure Policy, role-based access control), network topology (hub-and-spoke or Virtual WAN as appropriate), and security baseline (Microsoft Defender for Cloud, Microsoft Sentinel integration). Workload migration is then executed wave by wave against the agreed disposition matrix, with backup, disaster recovery, and observability instrumentation established before each wave goes live. FinOps tagging conventions and cost controls are deployed at the platform level rather than retrofitted later.
Operate
A managed service that runs the Azure environment under a defined operating model. Includes 24/7 monitoring through Microsoft Sentinel, incident response with documented service levels, patch and update management for infrastructure-as-a-service workloads, identity and access lifecycle management, FinOps optimisation with monthly cost-and-usage reporting to finance, and Defender for Cloud secure score management. Where the Azure environment underpins ISO/IEC 27001 or SOC 2 scope, evidence collection is integrated with our compliance practice.
Assure
Periodic Microsoft Well-Architected Reviews against the five pillars (operational excellence, security, reliability, performance efficiency, cost optimisation), quarterly business reviews with the executive sponsor, architecture review board participation for new workloads, and roadmap planning for capability uplift. To preserve independence, reviews are delivered by senior engineers who do not hold operational responsibility for the environment under review.
Treating AI as a first-class workload
Azure is increasingly the hosting environment for the AI capabilities our clients are building — Azure OpenAI, Azure AI Foundry, custom Copilot agents, retrieval-augmented generation platforms. We deploy these workloads inside the same Landing Zone pattern as any other Azure workload, with the additional governance required under the AI management system framework. We are certifying to ISO/IEC 42001 — the international management system standard for AI — this year, operated under the same framework that governs our other three certifications. Where AI workloads are in scope, they are treated as first-class citizens of the Azure operating model, not as a parallel practice.
For clients who want a dedicated AI foundation before committing to workloads, see the AI Landing Zone — a governed Azure environment for enterprise AI prototyping and production engineering.
Engagement criteria
The Pathway is designed for organisations adopting Azure for the first time, modernising an existing Azure estate, exiting another hyperscaler, or repatriating workloads from on-premises facilities. Engagements typically begin at 50 servers or 500 users of cloud-hosted services, with no upper bound. We expect a defined business objective for the programme — cost reduction, data centre exit, application modernisation, geographic expansion, or regulatory relocation — and executive sponsorship for the multi-year commitment that cloud adoption represents.
Demonstrated outcomes
The engagements below are illustrative of the pattern, drawn from across our client base. Named reference engagements are available under NDA.
Engaged to exit two co-located data centres within an 18-month window driven by a real-estate decision. Migrated 340 workloads across four waves with no unplanned downtime in the production wave. Three-year run-rate cost 22 per cent below the prior data centre operation despite a 40 per cent uplift in compute capacity. FinOps governance now operated by client finance team under our continuing advisory.
Engaged following a failed first attempt at Azure adoption that had produced an unmanaged tagging environment, no FinOps controls, and a Defender for Cloud secure score below 30. Landing zone redeployed under the Accelerator pattern. Existing workloads remediated against the new platform baseline over 14 weeks. Secure score increased to 82. Now in third year of continuous operation.
Greenfield Azure adoption to support a new clinical platform with data residency requirements across two Microsoft regions. Landing zone deployed against the Sovereign Landing Zone reference architecture. ISO/IEC 27001 and ISO/IEC 27799 evidence collection integrated from go-live.
Engagement model and commercials
Implement is delivered as a fixed-scope, fixed-fee engagement following completion of the Assess workstream. Operate and Assure are delivered under a multi-year managed service agreement, typically three years with annual review. Where required, we will sub-license Azure consumption under a Cloud Solution Provider arrangement; where the client prefers an Enterprise Agreement directly with Microsoft, we operate against that entitlement under an advisory and managed service model.
Engagements are governed by a master services agreement under Global Micro Solutions (Pty) Ltd (Johannesburg). Commercial terms are scoped to the environment and confirmed at the close of the Assess workstream. We do not publish pricing; the work is not commodity work and a published rate card would misrepresent the scope of your specific engagement.
Speak with the team
A 45-minute introductory conversation with a senior member of our practice — typically the engagement principal who would lead your work — to understand your environment, your business case, and the timeline you are operating to. We will tell you whether the Pathway is the right engagement for you. If it is not, we will tell you what is, including where another firm would serve you better.
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