Cloud Modernisation and Migration

Legacy architectures accumulate cost quietly. Deployment complexity slows delivery. Security configurations drift out of alignment. Infrastructure that was fit for purpose three years ago becomes a bottleneck when teams try to adopt modern data pipelines or AI capabilities. The longer modernisation is deferred, the more expensive and disruptive it becomes.

This engagement helps your team move existing applications and platforms to AWS, or modernise what's already there, so your infrastructure supports where your business is heading rather than where it's been.

What we deliver Every engagement is scoped to your current environment, workload complexity, and target architecture. A typical scope covers:

• Application and dependency analysis, mapping your existing systems, data flows, and integration points to build a clear picture of what's moving and what's changing
• Migration planning, defining the sequencing, risk mitigation, and rollback strategies that keep disruption to a minimum
• Workload re-architecture, updating application structures, deployment models, and network configurations to align with current AWS best practices
• Technical debt reduction, simplifying platform layouts, removing accumulated complexity, and improving security and operational hygiene
• Migration execution, moving workloads into AWS environments with the controls and validation steps needed to maintain confidence throughout

For teams already on AWS

If you're already running on AWS but dealing with legacy architectural patterns, accumulated technical debt, or infrastructure that's difficult to change safely, this engagement can focus on modernisation without a full migration. That includes updating deployment models, improving network and security configurations, and restructuring platforms to better support ongoing delivery.

Why modernisation matters for AI readiness Modern data and AI workloads place different demands on infrastructure. If your platform architecture makes it difficult to access data, provision compute, or deploy new services reliably, every AI initiative will face friction before it starts. Modernisation creates the foundation that makes those investments productive rather than painful.

How engagements work Engagements are scoped through private offers based on application complexity, number of workloads, data dependencies, and target architecture requirements. The outcome: applications and platforms running on AWS in a more maintainable, secure, and scalable state, providing a stronger foundation for ongoing operations, data initiatives, and AI workloads.

Request a scoping conversation to get started.