Microsoft Azure.
Cloud hosting for organisations that already run on Microsoft 365, Entra ID and Microsoft tooling.
Talk to us about Microsoft Azure
Key features
What Microsoft Azure does well.
Entra ID at the centre
Users, groups and Conditional Access policies from Entra ID also control access to Azure resources.
Policy and governance
Azure Policy and management groups enforce rules on regions, tags and allowed services across subscriptions.
Hybrid management
Azure Arc brings on-premises servers and Kubernetes clusters under the same management and policy.
OpenAI models in Azure
OpenAI models can run through Azure, inside your tenant’s networking, access and billing controls.
What we build with it
Cloud that fits the tools you already use.
Many organisations already manage identity and documents in Microsoft 365 and Entra ID. Building on Azure lets new applications use the same sign-in, policies and billing, and its managed services cover hosting, databases and functions.
Internal applications
Staff tools that use Entra ID for single sign-on and existing access groups.
Managed hosting
Web apps, functions and managed PostgreSQL run as Azure services.
Microsoft 365 integrations
Workflows that read from or write to SharePoint, Outlook and Teams through Microsoft Graph.
When it’s the right choice
Azure makes sense when your organisation is built around Microsoft identity and tooling, or your IT team already operates Azure.
When we’d pick something else
If you have no existing Microsoft estate and the product depends on services another provider does well, AWS or Google Cloud may be the simpler starting point.
Our Microsoft Azure services
How we can help.
Landing zone setup
We set up subscriptions, networking and policy so new applications have a consistent place to live.
Entra ID integration
We connect applications to Entra ID for sign-in and map existing groups onto app permissions.
Migration from servers
We move applications from on-premises or virtual machines onto Azure managed services in planned steps.
Security and cost review
We review role assignments, exposed endpoints and spending, and agree which changes to make first.
How we work
Starting a Microsoft Azure project.
Review what exists
Code, data, hosting and the people who maintain it, before any Microsoft Azure decision is made.
Agree the approach
A written scope: what changes, what stays, the risks and how we will know it worked.
Build in reviewable slices
Working increments your team can test, rather than one large delivery at the end.
Hand over or stay on
Documentation and access for your team, or a defined support scope if you want us to keep going.
Where AI fits
AI in cloud & infrastructure work.
Models inside your cloud account
Amazon Bedrock, Azure and Google’s Gemini Enterprise Agent Platform give model access under your own account’s access, logging and billing controls.
AI workflow automation ↗Region and residency checks
Model availability differs by region, so we check where prompts and documents will be processed before choosing a service.
Cloud architecture ↗
Where it stops: Turning on a model service does not make a use compliant. Data protection and sector rules still apply to every prompt and output.
Where it fits
Related expertise.
- APIs & integrations Connect your product to the systems your team relies on, with clear contracts and handled failures.
- Knowledge assistants Answer questions from your approved documents, with sources shown and access rules respected.
- Cloud architecture Choose and structure cloud services around your product’s data, access and operating needs.
- Infrastructure as code Define environments in version-controlled code, so changes are reviewed and drift is easy to spot.
Common questions
Microsoft Azure questions.
Can you work within our existing Azure tenant?
Yes. We agree access, naming, networking and policy requirements with your IT team, and deploy within the guardrails they already have.
Can staff sign in with their Microsoft accounts?
Yes. Applications can use Entra ID for single sign-on, so staff use their existing accounts and access is managed in one place.
Further reading
- A database for every pull request: preview environments that work How to give each pull request its own database branch, with safe data, tested migrations and automatic clean-up.
- Answers staff can trust: an assistant built on approved documents How to build a document assistant that cites its sources, respects permissions and says when it does not know.
- Firebase, Supabase or a custom back end: how to choose How to choose between Firebase, Supabase and a custom back end by data shape, access rules, cost, exit paths and skills.
