Insights · Enterprise Architecture
Enterprise architecture for cloud, data and AI.
Practical guidance for CIOs, CTOs and architecture leaders turning strategy into platforms, guardrails and roadmaps on Google Cloud and AWS.
Enterprise architecture has moved from documents to platforms. In a cloud operating model, standards live in landing zones, policy-as-code and reusable reference architectures that every delivery team inherits.
Our architects help organisations connect business capabilities to technology investment, design target architectures that regulators trust, and build the data foundations that AI depends on.
Themes
What we cover in Enterprise Architecture
Cloud operating models
Landing zones, guardrails and platform teams that make compliance the default.
Capability-led roadmaps
Prioritise modernisation by business value and technical health.
Data architecture
Lakehouse, data mesh and governance patterns ready for analytics and AI.
Integration & APIs
Event-driven and API-first patterns that decouple legacy systems.
Security architecture
Zero-trust, identity and policy-as-code across multi-account estates.
Multi-cloud strategy
When to use Google Cloud, AWS or both, and how to avoid costly sprawl.
Latest articles
Enterprise Architecture insights
Enterprise Architecture · 8 min
Enterprise architecture for the cloud era: from blueprints to guardrails
Why modern enterprise architecture replaces static target-state diagrams with platforms, paved roads and automated guardrails on Google Cloud and AWS.
Read articleEnterprise Architecture · 7 min
Business capability mapping: building a modernisation roadmap the board will fund
How to link applications, data and cost to business capabilities so modernisation investment is prioritised by value, not by noise.
Read articleEnterprise Architecture · 6 min
Data mesh or lakehouse? Choosing an enterprise data architecture
A practical comparison of data mesh and lakehouse patterns on BigQuery and AWS, and how to combine them for analytics and AI readiness.
Read articleFAQ
Common questions
What does an enterprise architecture engagement with ECCL include?
Typically a current-state assessment, capability map, target architecture, landing zone design and a phased roadmap with business cases, delivered over 4–10 weeks depending on scope.
Do you support both Google Cloud and AWS architectures?
Yes. We design single-cloud and multi-cloud architectures and recommend a destination based on workloads, data strategy and commercial terms.
How does enterprise architecture support AI adoption?
AI depends on governed, well-described data and secure platforms. Architecture defines data ownership, access controls and the reusable AI platform that individual use cases build on.