Build the foundation for what's next
Cloud & AI consulting
Turn infrastructure, applications, and fragmented data into a platform for business progress. Connect modernization to security, operational resilience, and the intelligence your next use case needs.
Reference architecture
A platform designed for ongoing operation
A reference view of the responsibilities that connect Azure workloads, data, and AI.
Foundation
Identity, network architecture, policy, and environment ownership.
Azure platformWorkloads
Applications and data services with explicit dependencies.
Azure and FabricIntelligence
Approved models, knowledge sources, and integrations.
FoundryOperations
Monitoring, recovery, change control, and cost visibility.
Service ownership
Security and governance apply across the architecture, not as a final deployment step. Plan Defender for Cloud posture assessment and protection for supported workloads, with clear remediation and response ownership.
Cloud foundations
Give every workload
a governed place to grow.
Establish a consistent Azure foundation before scaling deployment. Align platform decisions with the responsibilities, connectivity, security, and operating requirements of your organization.
What we address
- Landing zone readiness and platform design decisions.
- Management groups, subscriptions, identity, and network architecture.
- Policy, logging, security baselines, and ownership boundaries.
- Defender for Cloud posture assessment and workload protection planning, with explicit plan, coverage, and remediation ownership decisions.
- Repeatable infrastructure deployment and environment onboarding.
A practical output
A landing zone blueprint, design-decision record, deployment backlog, and platform operating model.
Measures to agree: baseline coverage, onboarding lead time, policy exceptions, and readiness of shared services.
Application and infrastructure modernization
Move the business forward.
Not just the workload.
Choose the right treatment for each application. Retire what is no longer useful, move what is ready, and modernize what needs to change before it can deliver new value.
What we address
- Application inventory, dependencies, readiness, and constraints.
- Workload disposition, target architecture, and migration sequencing.
- Security, recovery, performance, and data requirements.
- Defender for Cloud onboarding and protection coverage for supported migrated workloads, with prerequisites validated before cutover.
- Pilot migrations, cutover criteria, rollback, and operational handover.
A practical output
A portfolio assessment, migration-wave plan, target designs, and acceptance criteria for an agreed workload scope.
Measures to agree: readiness gaps, workload performance, recovery validation, and operating cost against an agreed baseline.
Governed data and analytics
Bring the data together.
Keep its meaning intact.
Make trusted information easier to find and use. Connect ingestion, transformation, analytics, and governance around a shared view of your business without flattening essential access or ownership boundaries.
What we address
- Data-source assessment, integration patterns, and pipeline design.
- Lakehouse, warehouse, and semantic-model architecture.
- Data ownership, quality, lineage, classification, and access.
- Analytics and permission-aware knowledge foundations for AI.
A practical output
A data-platform blueprint, prioritized data products, governance responsibilities, and quality and access criteria.
Measures to agree: data freshness, quality-rule pass rates, access-review coverage, and time to produce a trusted insight.
Connect data protection to the design →AI application platforms
Make innovation deployable.
Make it operable.
Give promising AI use cases an architecture that can be evaluated, secured, and supported. Connect models, data, and approved integrations with observable behavior and deliberate release decisions.
What we address
- Model and hosting choices aligned to workload requirements.
- Grounding, retrieval, identity, and secure integration design.
- Evaluation pipelines, release gates, and versioned configurations.
- GitHub Copilot adoption for code exploration, implementation, tests, and documentation, with repository permissions, human review, and release checks.
- Monitoring, failure handling, usage budgets, and lifecycle management.
A practical output
A reference architecture, scoped application foundation, evaluation plan, and readiness checklist for production consideration. Where developer enablement is in scope, include GitHub Copilot usage policies, pilot tasks, and code-review criteria.
Measures to agree: task quality, availability targets, latency, cost per task, and unresolved security findings. Production releases need separate readiness criteria.
Reliability, operations and cloud financial management
Keep the platform healthy.
Keep the investment purposeful.
Understand how services behave and what they cost. Turn ownership, observability, recovery planning, and cost review into an operating rhythm rather than a reaction to an outage or unexpected bill.
What we address
- Service ownership, monitoring, alerting, and escalation design.
- Recovery objectives, backup requirements, and recovery exercises.
- Resource organization, budgets, allocation, and cost visibility.
- Performance, capacity, configuration drift, and improvement backlogs.
- Defender for Cloud recommendation reviews, exposure remediation, and alert handoffs to security operations, with protection-plan costs and exceptions tracked.
A practical output
An operations handbook, monitoring and recovery plan, cost-allocation model, and prioritized optimization recommendations.
Measures to agree: service reliability, recovery-test outcomes, unallocated spend, budget variance, and validated optimization benefits.
Service guides
Cloud & AI briefs
Your starting point
Build the roadmap
before expanding the estate.
Start with your application and data landscape, business dependencies, and operating constraints. Prioritize a platform foundation and the first workload or data product it needs to support.
Explore the modernization outline