Cloud AI Infrastructure Done with Intent, Not Instinct
AWS, Azure and Google Cloud strategy, architecture and cost optimisation, built to support AI and automation workloads at scale — not bolted on after the fact.
What we do
Most AI initiatives ultimately run on someone’s hyperscale cloud, whether that choice was ever made deliberately or not. We help organisations decide which platform, architecture and services actually fit their AI ambitions, existing estate and budget – rather than defaulting to whichever cloud a previous project happened to use.
We focus on infrastructure that’s built to scale securely, not a collection of point solutions and technical debt waiting to surface. That means reviewing what you have before recommending what you need.
Practice features
- Multi-cloud and single-cloud strategy across AWS, Azure and Google Cloud
- Architecture design for AI and automation workloads at scale
- Cost optimisation and FinOps review of existing cloud spend
- Cloud security posture and governance alignment
- Migration and integration planning with existing systems of record
Outcomes
- Infrastructure built to support AI growth, not constrain it
- Lower, more predictable cloud costs
- Reduced risk from unmanaged or duplicated cloud services
Mapping to common services:
In our Hyperscaler AI Practice, we combine our services to provide a tailored response to meet your specific needs. In this example, we would consider the following services:
Tailored Service Example: Cloud platform choice = architecture design + cost optimisation + security governance
- AI Infrastructure & Data
- AI Security & Cyber
- Discovery-as-a-Service
- Project Delivery
- AI Governance & Ethics
Talk to us about your cloud AI strategy…
Independent, vendor-neutral advice on AWS, Azure and Google Cloud, matched to your workloads, budget and risk appetite.
Free downloads:
- UK Five AI Principles – Key Takeaways
- EU AI Act – Key Takeaways
- Sample AI & Agentic Automation Corporate Usage Policy
- AI Use & Data Boundaries Checklist
Next Steps
- AI Readiness Assessment – Understand where you’re at
- Discovery & Planning – Preparing your business for change
- Design – Example components of a full AI Architecture stack
- Implementation & Adoption – Managing Vision to Execution
Our Practices
Agentic Platforms Supported:
