Cloud
AWS
Well-architected implementations, migrations and managed operations on Amazon Web Services.
CloudLanding zones and migrationsContainer and serverless platforms
Where we use it
Workloads we build with AWS
Landing zones and migrations
Container and serverless platforms
Data and AI workloads
Strengths
Why we choose it
- Broadest service catalogue
- Mature migration tooling
- Strong regional coverage
Considerations
What we watch for
- Cost governance must be designed in
- Service sprawl needs guardrails
Services using this technology
Enterprise AIAI that runs inside your business, under your control.Business AutomationRemove manual effort from the workflows that carry your business.Digital TransformationModernise the estate without stopping the business.Cloud & InfrastructurePlatforms that are cheap to run and safe to change.Data EngineeringTrusted data feeding decisions leaders actually use.Cyber SecuritySecurity posture you can evidence to a board or a regulator.
Industries where we deploy it
HealthcareClinical throughput, administrative relief and defensible data handling.ManufacturingConnected plants, predictable output, lower unplanned downtime.FinanceFaster decisions, defensible controls, lower cost to serve.GovernmentCitizen services, digitised process and auditable delivery.EducationAcademic operations, student experience and institutional reporting.LogisticsCost per shipment down, exceptions handled before they escalate.RetailDemand accuracy, margin protection and connected commerce.MiningSafety, asset uptime and site-to-corporate visibility.Real EstatePortfolio visibility, faster sales cycles, tighter project control.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.EnergyAsset reliability, consumption intelligence and compliance evidence.ConstructionProgramme certainty, cost control and site-level visibility.Professional ServicesHigher utilisation, faster delivery, protected margin.
Pairs well with
Capabilities built on AWS
Cloud ArchitectureTarget architecture, landing zone and guardrails designed for your workloads.AzureEnterprise Azure landing zones, identity and hybrid connectivity.Cloud MigrationMove workloads in planned waves with measurable cost and performance outcomes.Private AIModels hosted inside your cloud or data centre so sensitive data never leaves your boundary.AI StrategyA board-ready plan linking AI investment to specific processes, numbers and timelines.Workflow AutomationRouting, approvals and hand-offs automated across teams and systems.
Related insights
Cloud cost is an architecture problem, not a procurement problemMost overspend is designed in long before the invoice arrives.Why enterprise AI pilots stall — and what changes when they do notThe gap between a working demo and a production system is organisational, not technical.Automation that survives auditDesigning RPA and document automation with controls, logging and ownership from day one.
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Downloadable guide
AWS engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.