AI Foundry Implementation Service

The AI Foundry Implementation Accelerator provides organizations with a fully configured Azure AI Foundry environment—complete with governance, security, model integrations, and operational workflows—using industry and Microsoft best practices.

This offer accelerates enterprise adoption of GenAI by enabling a secure, scalable, and production-ready environment that supports AI model experimentation, deployment, and continuous improvement.

Key Value Proposition

Rapid Deployment: Set up Azure AI Foundry in weeks—not months

Secure-by-Design: Governance, access control, and safe deployment patterns

Integrated Workflows: CI/CD pipelines, prompt flows, vector search, and evaluation frameworks

Model Ready: Access to Azure OpenAI, OSS models, and custom pipelines

Team Empowerment: Training included for administrators, developers, and stakeholders

Future-Proof Architecture: Built for multi-model and multi-app expansion

Service Deliverables

Your engagement includes the following components (no milestone sections):

Environment Setup

• Azure AI Foundry workspace configured using best practices

• Prompt Flow, Model Catalog, Vector Search, and AI Studio enabled

• Azure OpenAI access configuration (GPT-4o, Phi, Llama, etc.)

• Identity & access governance (RBAC, managed identities, role assignments)

• Azure networking & security (optional private endpoints & VNets)

AI Integration & Development

• Connection to enterprise data sources (SQL, ADLS, Blob, Cosmos DB, etc.)

• Embeddings and vector store configuration

• AI application starter kit (API-based or UI optional)

• Prompt Flow pipelines & evaluation framework

• Model monitoring & observability dashboards

Governance & Compliance

• Responsible AI guidelines

• Data privacy & access configuration

• Logging & monitoring practices

• Enterprise-grade security patterns

Training & Knowledge Transfer

• Azure AI Foundry overview training

• Prompt engineering & Prompt Flow training

• DevOps/AIOps enablement

• Admin training + runbooks and documentation

Estimated Duration

4–6 Weeks (Depending on organization complexity and scope)