⛶ Capability
Cloud & AI Landing Zones
A secure, governed cloud foundation before the first model call.
A landing zone is the pre-configured foundation every AI workload lands on: account/subscription structure, networking with private endpoints to model services, identity, policies, logging, cost controls and quotas. We build AI landing zones on Azure, AWS and Google Cloud as code, so new AI projects start in days, compliant by default.
Typical use cases
Challenge. Teams create AI resources with public endpoints, keys in code and no cost visibility.
What we build. Landing zone with private networking to model endpoints, central identity, guardrail policies, logging and per-team budgets.
Challenge. Banking, health or public-sector rules require EU data residency and auditability.
What we build. EU-region-only model access, data-exfiltration controls, customer-managed keys and audit-ready logging.
Challenge. Innovation stalls because every experiment needs a security review.
What we build. Pre-approved sandbox subscriptions/accounts with safe defaults, spend caps and an automated path to production.
Examples
Use cases with AI Landing Zones.
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
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