Plenty has been written about cloud migration. Far less is written honestly about cloud fit. Azure isn't the right answer for every workload — and pretending otherwise is how organisations end up paying twice for infrastructure that doesn't quite work for them.
When Azure wins
- Deep Microsoft 365 and Entra ID footprint, where identity and productivity integration is a real advantage.
- Regulated industries with sovereignty requirements that map cleanly to Azure's regional and government clouds.
- Heavy reliance on SQL Server, .NET, or Dynamics, where the operational story on Azure is genuinely better.
- Hybrid scenarios where Azure Arc gives you a coherent control plane across on-prem, cloud, and edge.
The Hybrid Benefit nobody calculates properly
Azure Hybrid Benefit can cut compute costs significantly when existing Windows Server and SQL Server licences are reused — but most teams either forget about it or apply it haphazardly. A proper licence audit, mapped to actual workload placement, is one of the highest-ROI exercises in any Azure engagement we've run.
Where AI sits in the Azure story
Azure OpenAI Service, AI Foundry, and the broader Cognitive Services portfolio give Azure-native organisations a credible path to production AI without leaving the platform. For teams already running their data estate on Synapse or Fabric, the integration story is genuinely tight — fewer pipes to build, fewer surfaces to secure.
What we actually do
Landing zone design, identity and governance modernisation, workload assessment, FinOps, and AI enablement on Azure. Always honest about whether Azure is the right tool for the specific job — and willing to say when it isn't.