Motivation

This offering delivers a structured, three-phase approach to establish an enterprise-ready AI Landing Zone pattern on top of your existing Cloud Adoption Framework (CAF) foundation. It begins with a focused assessment of your current landing zone, identifying integration constraints and governance gaps for integrating the AI Landing Zone pattern. This is followed by a detailed architecture and design phase that defines the target pattern aligned with Azure AI Landing Zones.

The final phase is a hands-on MVP implementation, including a five-day hackathon to deploy:

• an AI Gateway Landing Zone based on Azure API Management for centralized model access, policy enforcement, traffic control, and content safety, and
• a Foundry Landing Zone for hosting AI applications, services, and data sources.

The outcome is a production-ready AI Landing Zone pattern implementation, with an AI Gateway Landing Zone and a Foundry Landing Zone, active governance, monitoring, and security controls, and a reference team fully onboarded. The setup establishes the operational foundation for GenAIOps, including quota and cost management, model lifecycle governance, content safety configuration, and usage monitoring. Development teams receive a solid, enterprise-grade platform to build and operate AI applications at scale—enabled by clear guardrails, centralized control, and built-in operational readiness.

What we bring

With more than 20 years of experience delivering enterprise software and cloud architectures for some of the world's largest enterprises, PRODYNA brings a unique combination of cloud platform depth and AI expertise.

We have built and operated CAF Landing Zones at scale and know what it takes to extend them securely for AI workloads. Our strengths in this domain include:

• Proven CAF & IaC Expertise: We have extensive experience with CAFLanding Zone architectures and Terraform-based infrastructure and have applied them across multiple enterprise engagements.
• Enterprise Security First: We design every AI integration with zero-trust principles: private networking, managed identities, Azure Policy enforcement, and no API keys — by default, not as an afterthought.
• GenAIOps from Day One: We bring operational readiness into the architecture from the start— quota management, model lifecycle governance, content safety, and cost controls built into the platform, not bolted on later.
• Simplicity First: We start with the simplest viable setup and evolve it only as needed, avoiding over-engineering and keeping your platform maintainable.
• Knowledge Transfer: We work alongside your platform and AI teams throughout all three phases so that they own and can extend the result independently.

What you need

To make the best use of this offer and permit a fast and efficient start, you will need:

• An existing Azure Landing Zone setup based on the CAF hub-spoke architecture.
• An existing Azure contract e.g. Enterprise Agreement (EA), or any other Cloud Service Provider (CSP).
• Availability of your experts (e.g. Azure platform team, network, DNS, IAM, security, and future AI team).

What you get

In about 1 month across three phases, we assess your current CAF Landing Zone, define the AI Landing Zone pattern integration approach, design the target architecture, and implement the AI Landing Zone pattern consisting of an AI Gateway Landing Zone and a Foundry Landing Zone. By the end, you will have:

• A clear governance model for AI covering security, compliance, ownership, cost allocation, and model strategy
• A validated AI Gateway and Foundry landing zone architecture, including model catalog, guardrails, policies, and secure connectivity
• A deployed AI Gateway Landing Zone and Foundry Landing Zone
• A reference team onboarded and enabled to operate and extend the platform
• A GenAIOps baseline with runbooks for continued operations
• Full documentation and a scalable pattern for onboarding additional teams and projects