Lower total cost of ownership from platform selection, migration planning and modelling across AWS, Azure and Google Cloud.
Platform selection, migration planning and cost modelling across AWS, Azure and Google Cloud — assessed against your workloads, your team’s skills and your compliance obligations.
You get the migration sequence, the projected run cost and the risks of each option, so the decision is made on numbers rather than preference.
Each application evaluated for rehost, replatform, refactor or retire.
Projected run costs per option, including reserved capacity and egress.
A phased plan that limits downtime and keeps dependencies in order.
Requirements mapped to platform controls before commitment, not after audit.
A straight answer on whether multi-cloud helps you or just adds overhead.
Lock-in assessed so you know the cost of changing your mind later.
A costed, sequenced roadmap from your current state to a digital operating model, ranked by business impact.
A prioritised remediation plan from architecture, security posture and scalability reviews.
Runway-aware stack decisions, build-versus-buy calls and hiring plans sized to your funding stage.
Hours returned to the team by mapping workflows and automating handoffs between marketing, sales and operations.
Question not covered here? Ask a senior specialist →
By scoring workload fit, existing licensing, team skills and three-year total cost of ownership rather than defaulting to a house preference. Existing Microsoft licensing often makes Azure cheaper, while data and machine learning workloads frequently favour Google Cloud.
Only with right-sizing, reserved capacity and autoscaling in place — a lift-and-shift migration commonly increases spend by 20 to 30 percent. Cost modelling is done before migration, not discovered on the first invoice.
Planning takes four to eight weeks; execution depends on workload count and coupling, and typically runs in waves over three to nine months. Low-risk workloads move first to validate the pattern.
Containerised workloads, infrastructure as code and open data formats keep switching costs manageable. Managed services are adopted deliberately where the operational saving clearly outweighs the portability cost.
Send one paragraph. You get a channel mix, scope, budget range and timeline back within 24 hours — from a senior specialist, not a salesperson.
