Cloud Modernisation
Lifting a workload into cloud unchanged usually costs more than leaving it where it was. The savings come from what you do afterwards: rightsizing, elasticity, managed services and retiring what nobody needed.
We assess honestly, migrate what should move, and modernise the workloads where the return justifies it — while being clear about the ones that should stay put.
Platforms we typically deliver this on
Scope of the service
Cloud assessment and strategy
Workload-by-workload analysis of migration approach, cost and constraints, including residency and licensing.
Migration execution
Rehost, replatform and refactor migrations with testing, cutover planning and rollback.
Cloud-native development
Containerisation, serverless and managed services where they reduce cost or operational burden.
Landing zone design
Account structure, identity, network, policy and guardrails so growth stays governed.
Cost optimisation
Post-migration rightsizing, commitment planning and continuous review.
Data residency architecture
In-region deployment patterns for organisations under residency obligations.
Where this is used
Representative engagements, described at the level our clients permit. Sector and shape are accurate; identifying detail is withheld.
Migrating within residency constraints
Data could not leave the country. We designed a migration using in-region services with an explicit data-flow map for the privacy office.
Outcome — Cloud capability adopted without moving regulated data out of region.
Modernising after a lift-and-shift
An earlier migration had raised costs without benefit. We modernised the highest-cost workloads onto managed services and retired idle environments.
Outcome — Run cost reduced below the pre-migration baseline.
Preparing infrastructure for AI workloads
Existing infrastructure could not support GPU workloads or elastic scale. We built a landing zone with governed access to accelerated compute.
Outcome — AI work unblocked without loosening infrastructure governance.
Before you get in touch
Should everything move to cloud?
No. Stable, predictable workloads on owned hardware are often cheaper where they are. Our assessments regularly recommend leaving some workloads in place.
Which cloud?
Usually the one you already have skills and agreements for. Where there is a genuine choice we assess against your workload mix and residency needs.
How do you handle licensing?
It is assessed up front. Licensing terms change materially in cloud and it is a common source of unbudgeted cost.
Often engaged alongside this
Cloud & Infrastructure Managed Services
Managed infrastructure across Azure, AWS and Google Cloud — monitoring, patching, security posture, resilience and continuous cost management.
Read moreData & AnalyticsData Platform Modernisation
Lakehouse and warehouse builds designed for parallel running, so the business keeps its numbers while the foundation is replaced underneath.
Read moreAIAI Architecture & Platform Engineering
Model choice is the easy part. We design and build the platform layer — data access, identity, evaluation, observability, cost control — that everything else depends on.
Read moreStart with three weeks and a straight answer
The AI Readiness Assessment is fixed in scope, fixed in price and produces four deliverables you own — whether or not you continue with us.