01
Assess
Discovery, TCO & ROI analysis.
How we deliver
Frameworks that turn ambition into working outcomes.
Two delivery frameworks underpin most of our work: a cloud lifecycle that takes workloads from assessment to operation, and DAML — a structured five-phase approach to data and AI.
Cloud lifecycle
Migrate. Modernize. Run.
Four steps that move workloads from discovery to a managed, optimized run-state on AWS, Google Cloud, or Microsoft Azure.
02
Migrate
Lift-shift (rehost), replatform.
03
Modernize
Re-architect, containerize, cloud-native.
04
Operate
Managed services, SRE, FinOps & cost optimization.
Modernization services
Four lanes of modernization, working in parallel.
Infra & OS
- IaC & hybrid-cloud
- Windows → Linux migration
- Legacy OS decommission
Application Modernization
- Microservices & containerization
- .NET to ECS/EKS/Lambda
- Serverless & cloud-native re-architecture
Database Modernization
- MSSQL/Oracle → RDS
- Shift to PostgreSQL & open-source
- Cloud-managed DB on hyperscaler
Data Modernization
- Legacy data estate assessment & migration
- Unified data platform consolidation
- Governed, AI-ready architecture
- Decommissioning of siloed data systems
DAML framework
Data, AI & ML — end to end.
A structured, five-phase approach to delivering data-driven and AI-powered solutions — governed end to end for privacy, auditing, and security.
01
Discovery
- Data sources identification
- Landing zone setup
- POC
- Risk assessment & mitigation
02
Data Ingestion
- Integration services
- Data consolidation
- Single source of truth
- Pipeline automation
- Data lake
03
Transformation
- Data modelling
- Cleansing & structuring
- Data warehouse
- Report development
04
Visualization
- Dashboards & visualization
- Interactive tooling
- Accuracy & consistency
05
AI / ML
- Image/object detection
- OCR
- GenAI & chatbot
- Personalization
- Forecasting
Applies across every phase above
Data GovernanceLogging & AuditingData Privacy & Security
See it applied