We bring workloads scattered across multiple cloud providers under central management; a CCoE structure and FinOps transparency bind cloud decisions to enterprise standards and reduce vendor lock-in risk.
The critical topics this service addresses and the outcome we deliver in each.
We tie Azure, AWS, GCP and hybrid on-premise workloads to corporate standards through a CCoE structure, centralizing scattered management.
With FinOps tagging, budget alarms and reporting, we make cloud cost manageable through a baseline measurement, target and review cadence.
We assess single versus multi-cloud distribution by workload profile, compliance requirements and cost, bringing vendor dependence under control.
Azure Landing Zone / AWS Control Tower IaC templates provide secure and repeatable workload onboarding.
How we phase the service across delivery, governance, and connected service pillars.
We begin with a cloud maturity assessment and readiness analysis, producing a multi-cloud cost comparison (Azure/AWS/GCP), a CCoE organization model and a FinOps budget forecast model.
We set up the landing zone (Azure Landing Zone / AWS Control Tower) and design Kubernetes (AKS/EKS/GKE) container orchestration and multi-cloud governance policies (Azure Policy, AWS SCP).
We deliver a cloud strategy document, IaC templates (Terraform/Bicep), a FinOps dashboard and a CCoE charter/RACI, and run the post-migration optimization loop.
Illustrative surfaces where this service is commonly activated.
Reducing operational risk through phased migration, choosing the most suitable of rehost, replatform or refactor strategies by workload.
Workload-based container suitability assessment, recommending Kubernetes for microservice architectures and VMs for stateful applications.
Starting with tool-based automated reporting and tagging, then progressively defining FinOps roles as the CCoE matures.
This service's depth on sector-specific technical and compliance topics.
Azure Landing Zone / AWS Control Tower design; repeatable, standard infrastructure with Terraform/Bicep templates, Helm and ArgoCD.
Standard cloud policies with Azure Policy and AWS SCP; consistent security, compliance and cost control.
Cost optimization through tagging, reservations, spot/preemptible and rightsizing; options for data flow into ERP/accounting systems.
Uncoordinated cloud adoption leads to shadow IT, unpredictable spend, workload sprawl across incompatible platforms, and security configuration drift. Without a Cloud Centre of Excellence, organisations lack the governance framework to optimise cost, enforce policy, or orchestrate workloads across AWS, Azure, and GCP simultaneously. Our Hybrid and Multi-Cloud Management practice establishes the CCoE operating model, governance guardrails, and technical automation needed to operate cloud at enterprise scale.
Make cost and resource optimization measurable against the agreed baseline and review cadence
Make operational speed, resilience, and response outcomes measurable through contracted scope and acceptance criteria
Make risk and response indicators visible through measured controls, rehearsed playbooks, and evidence review
The scope encompasses cloud strategy advisory, technical architecture, platform engineering, and ongoing managed cloud operations. We cover workload migration planning, containerisation of legacy applications, cost governance, and security posture management. Engagements are structured in 90-day sprints aligned to the CCoE maturity model, progressing from foundation to optimisation to innovation phases.
Turn the outcome into a measurable target with baseline, owner, and review cadence
Make cost and resource optimization measurable against the agreed baseline and review cadence
Improve quality indicators through baselines, acceptance criteria, and reviewed evidence
Our deliverables are milestone-gated and span strategic, architectural, and operational artefacts. From the initial cloud strategy paper through to production-grade infrastructure-as-code repositories and FinOps dashboards, every deliverable is reviewed by our cloud architects and accepted by the client before the next phase commences.
Enable board-level cloud investment decisions with CFO-ready financial models
Shorten operational cycle time against agreed measurement targets and acceptance criteria
Support audit and compliance readiness with evidence records instead of unsupported public outcome promises
A CCoE provides four core capabilities: a cloud strategy and governance board, a platform engineering team that builds shared services (landing zones, pipelines, observability), a FinOps function that tracks and optimises spend, and an enablement programme that upskills application teams. The result is faster, safer cloud adoption with measurable cost control.
We implement a cloud-agnostic policy layer using Open Policy Agent (OPA) and provider-native tools such as AWS Control Tower, Azure Policy, and GCP Organisation Policies. All policies are version-controlled, tested in CI pipelines, and enforced in deny mode for critical controls such as public S3 buckets and unencrypted storage volumes.
Yes. Cloud repatriation is a legitimate outcome of a proper workload placement assessment. We use TCO modelling to identify workloads where on-premises or colocation delivers better economics, and we design the exit as a first-class scenario in the landing zone to avoid vendor lock-in at the compute and data layers.
We map cloud cost dimensions (account, tag, service) to your existing cost centre and project code taxonomy during onboarding. Monthly chargeback reports are generated in formats compatible with SAP, Oracle Financials, and standard CSV for ERP upload. Finance stakeholders receive role-based access to the FinOps dashboard without requiring cloud console credentials.
Yes. All infrastructure-as-code is delivered under a licence that grants full ownership to the client. Modules are documented with input/output variable references, usage examples, and a module versioning guide. We provide a 2-day hands-on workshop to ensure your platform engineers can extend and maintain them independently.
We conduct weekly automated cost anomaly reviews with alert thresholds configured to flag any service exceeding the agreed variance threshold from baseline. Monthly formal reviews include reserved instance coverage analysis, right-sizing recommendations, and savings plan modelling. Quarterly business reviews present cumulative savings achieved against the initial benchmark.
This short form routes your request to the right support team. We clarify context first, then define the safe sharing method.
Privacy-aware first contact; safe sharing flow when needed; no sales pressure.
