Microsoft Azure
Cloud foundation: landing zones, governance, networking, identity, and Azure-native services for apps, data, AI, and security operations.
Cloud foundations, migration, AI lifecycle management, and security—organised so you can go deep where you need to. Pick a track below.
We bring hands-on experience across major clouds and Microsoft data/AI platforms—implementation and governance, not slide-only advice.
Cloud foundation: landing zones, governance, networking, identity, and Azure-native services for apps, data, AI, and security operations.
Multi-cloud and migration scenarios where AWS is in scope—architecture alignment, security baselines, and workload placement alongside Azure where needed.
Hybrid and multi-cloud designs where GCP is part of the estate—consistent patterns for identity, connectivity, and operational guardrails.
Unified analytics: data integration, warehousing, real-time intelligence, and governance so analytics and AI sit on trusted, well-managed data.
Model catalogues, evaluations, deployment patterns, and guardrails for generative AI and agents—aligned with enterprise controls and your CAiLM lifecycle.
A secure, scalable Azure baseline—networking, identity, policies, logging, and environments—built for real delivery, not shelfware.
Move apps to Azure with clarity and control—assess, plan, migrate, modernize, and stabilize—while keeping business impact low.
Your operating system for AI delivery: governance, model lifecycle, deployment controls, and continuous monitoring for Azure ecosystems.
Security operations, identity, detection, data, network, and secure AI—with Microsoft Defender, Sentinel, Purview, and related depth on a dedicated page. Keeps this overview short; detail lives where specialists expect it.