AI Landing Zone
A ready-made, secured AI environment in your own cloud on AWS or Microsoft, with your rules built in and your first agents already running. Typically within two days.
A ready-made, secured AI environment in your own cloud on AWS or Microsoft, with your rules built in and your first agents already running. Typically within two days.
Problem
Your governance model says which data may reach which model, what must stay in the EU and what a human has to approve. Until the platform enforces it, those are good intentions. The AI Landing Zone is a governed home for AI inside your existing cloud, with the controls your governance model called for actually switched on.
Approach
Typically two days from kick-off to handover. That is possible because the building blocks are already written and tested, and the security settings come straight from your governance model. Your first agents are deployed into the environment as part of the handover. Everything lands in your own cloud and your own code repository.
For AWS-first estates with an EU residency requirement. Pairs with Claude on Bedrock if you want Anthropic models.
For Microsoft-first estates where Entra ID and M365 are already central. Azure Policy does the enforcement your governance model asked for.
Dev and prod for AI workloads, kept apart from general workloads. Least-privilege roles for consumers, builders and operators, federated to your identity provider.
Private connectivity to model endpoints with no public egress. Customer-managed keys. EU region pinning enforced by policy.
Content safety, prompt-attack defence, PII detection, grounding checks and model allow-lists. Anchored to the OWASP Top 10 for LLM Applications.
AI workload tagging, budgets and anomaly alerts. Model invocation and control-plane audit logging with retention configured.
What It Costs
The engagement ends with a qualified next step, not a thank-you email: design document and as-built, guardrail test evidence mapped to your governance model, an operations runbook, a two-hour handover, and the top three use cases the platform now unblocks.
€3,000
Per platform, AWS or Microsoft.
2 days
From kick-off to handover, typically.
A few hours
Your security and platform contacts, for the decisions only you can make.
Every Control Has a Reason
Each guardrail points back to the clause in your governance model that required it. When an auditor asks why a control exists, the answer is already written down.
Drives content safety filters and denied topics.
Drives prompt-attack defences and human approval gates.
Drive region pinning and private endpoints.
Drives the model allow-list, enforced by policy.
FAQ
Explore More
Your AI platform in your own AWS or Microsoft cloud, kept safe and in budget. We run the cost controls, policies, security, guardrails and identity every month.
Pre-configured multi-account environments with built-in governance, security, and networking for all major cloud providers.
Your agents in production, watched during business hours or 24/7. We manage every version from release to retirement, and run the AgentCore or Foundry platform they live on.
Let's discuss how Cloud2's AI Landing Zone service can help you achieve your goals.
