Azure is where the Microsoft estate goes to the cloud: identity already in Entra ID, data already in SQL Server, teams already in the tooling. Done well it is a governed platform; done by console click-through it is a sprawl of subscriptions nobody can explain to an auditor. We do the first kind.
Our Azure consulting services cover landing zones and migration, data and AI platforms, application modernisation onto Azure services, DevOps on Azure, and the FinOps and operations that keep the bill and the compliance evidence under control.
Let’s talk AzureEngineering services
From a landing zone designed before the first workload to the AI platform your data team runs on it, our Azure consulting services cover the Microsoft cloud end to end.
01
Management groups, subscriptions, policy, networking and identity designed as a landing zone before anything moves; then workloads migrated in waves — rehost, replatform or refactor decided per application — with rollback plans and a cutover rehearsed rather than hoped for.
02
Lakehouses and warehouses on Fabric, Synapse or Databricks, pipelines with Data Factory, and AI services — Azure OpenAI, AI Search, Machine Learning — assembled into governed platforms with private endpoints, managed identity and the evaluation and cost controls production AI needs.
03
.NET and Java estates moved onto App Service, Container Apps and AKS, databases onto Azure SQL and PostgreSQL Flexible Server, queues onto Service Bus — in stages, with the application kept running and the platform services chosen for what the team can operate.
04
Azure DevOps or GitHub Actions pipelines, Bicep or Terraform for every resource, environments promoted by policy, secrets in Key Vault, and Defender for Cloud and Monitor wired in — the delivery platform that makes a change safe to ship on a Friday.
05
Monitoring and alerting your team can act on, patching and backup regimes tested by restore, security posture mapped to ISO/IEC 27001 controls, and a monthly cost review with reservations, right-sizing and tagging that turns the Azure bill from a surprise into a budget.
Portfolio
2 Azure builds written up in full, both on the data and AI side, each with its numbers.
ManufacturingDigiWagon built a production-grade RAG platform for a global CPG leader, using Azure AI to help R&D and compliance teams quickly search, synthesise, and generate insights from millions of scattered documents.
ManufacturingAn AI/ML-enabled prediction engine connecting plant data to automated forecasts, reducing human error, speeding up decisions, and scaling seamlessly across plants.
Benefits breakdown
Why hire us for Azure, in five lines you can hold us to.
Entra ID, Microsoft 365, SQL Server and .NET integrate with Azure with the least friction of any cloud — and we know where the friction still hides.
Management groups, policy and landing zones defined in code, so every new subscription inherits the controls instead of inventing its own.
Data residency, private endpoints, customer-managed keys and compliance offerings that map cleanly to ISO/IEC 27001 and the regimes banks, hospitals and manufacturers answer to.
Azure OpenAI and AI Search inside your network boundary with identity, logging and content filters — enterprise AI the security team can approve.
Tagging, budgets, reservations and right-sizing from the first month; the cost review is a habit, not a rescue.
Tech expertise
Azure is one of the clouds in this stack; here is what we ship on and around it. Every name with a page of its own is a link.
Explore the servicesComparative analysis
What changes when the team actually knows the stack, in six rows.
| Feature | DigiWagon | Other agencies |
|---|---|---|
| Architecture | Landing zones, network boundaries and account structure designed before the first workload, not discovered after the first incident. | A console click-through that nobody can reproduce. |
| Security & compliance | Least-privilege identity, encryption by default, audit trails and evidence mapped to ISO/IEC 27001 controls from day one. | Security as a checklist, after the audit finding. |
| Cost | Right-sized from the start: tagging, budgets, alerts and the reserved-vs-on-demand call made with numbers. | The bill is a surprise every month. |
| Estimation | Real timelines and budget, with the assumptions written down — no plot twist. | Estimate comes with ‘oops, missed that!’ |
| Reliability | Infrastructure as code, tested rollbacks, backups that were actually restored, runbooks your team can follow at 3 a.m. | Snowflake servers and a prayer. |
| Documentation | Diagrams, decision records and runbooks that survive the engineer who wrote them. | The knowledge left with the contractor. |
Industries
Three of the nine industries we build for, with the Azure work or the Azure fit behind each, linked to the industry page.
01
A production-grade RAG platform on Azure for a global consumer-goods manufacturer — 70% faster information retrieval, 60% less manual knowledge discovery — and a mining intelligence platform with 45% faster insight discovery.
Azure in Manufacturing02
Core and back-office workloads for banks and lenders on Azure: private networking, customer-managed keys, audit logging and the region and residency choices a regulator will ask about.
Azure in FinTech03
Clinical data platforms and patient applications on Azure with health-data services, FHIR APIs and the access governance a hospital’s Microsoft-centred IT estate already enforces.
Azure in HealthcareInsights
Writing from the platform work: from DevOps to platform engineering, data mesh versus data fabric for enterprise transformation, and the sovereign sourcing framework for data residency.
FAQ
Direct answers on Azure versus other clouds, migration, landing zones, AI on Azure, cost and what our Azure consulting services include after the migration.
When the estate is Microsoft: identity in Entra ID, Microsoft 365, SQL Server, .NET applications and teams in the Microsoft tooling. Azure integrates with all of it with the least friction, and enterprise agreements often make it the economic choice too. If the estate is heterogeneous or open-source-heavy, we compare honestly and may recommend AWS or Google Cloud.
A landing zone is the governed foundation — management groups, subscriptions, policy, networking, identity, logging — that every workload inherits. Built first, in code, it means a new subscription is compliant by default. Skipped, it becomes the sprawl of subscriptions and exceptions that auditors and finance teams dread, and that is expensive to fix later.
In waves, by application, with the migration strategy — rehost, replatform, refactor — chosen per workload. Each wave has a rehearsed cutover, a rollback plan and a validation checklist; databases move with replication and a short, planned switch. The business runs on the old environment until each wave is proven, and nothing is a big bang.
Yes — Azure OpenAI and AI Search deploy inside your network boundary with private endpoints, managed identity, logging and content filters, and data is not used to train foundation models. We add evaluation, cost controls and audit trails so the platform is something the security and compliance teams can approve, not just a demo.
From the first month: mandatory tagging, budgets and alerts per subscription, right-sizing from real utilisation, reservations and savings plans for steady workloads, autoscaling for spiky ones and a monthly review with the numbers. Cost is designed in with the architecture, not reviewed after the first alarming invoice.
Monitoring and alerting your team can act on, patching and backup regimes tested by actually restoring, security posture reviews mapped to ISO/IEC 27001 controls, incident response and a monthly cost and reliability review. Runbooks and infrastructure code are yours from day one; we run the platform for you, with you, or hand it over.
Tell us what has to move and what has to be proven to whom, and we will show you comparable cloud work before anything is scoped.
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