Build, Test, and Manage AI Solutions with Microsoft Foundry
Microsoft Foundry provides a unified environment for developing, evaluating, and managing AI applications at scale. Oakwood helps organizations move beyond experimentation by building structured, governed AI solutions that are designed for production use.
- Design and evaluate AI models and copilots in a unified workspace
- Manage prompts, datasets, and evaluation workflows
- Deploy AI applications with governance and observability built in
Why AI Projects Stall Before Production
Many organizations successfully experiment with AI, but struggle to operationalize it. Without the right tooling and processes, AI projects remain isolated proofs of concept.
Microsoft Foundry helps organizations transition from experimentation to operational AI. Oakwood works with teams to define evaluation criteria, implement governance, and integrate AI solutions with existing applications and data platforms. This includes connecting Azure OpenAI, Microsoft Fabric, APIs, and application layers while ensuring security, compliance, and monitoring are built into the solution. The result is an AI environment that is reliable, measurable, and aligned with business goals.
Lack of Evaluation
AI outputs are not consistently tested or validated.
Prompt Instability
Prompts produce inconsistent or unpredictable results.
No Governance
AI usage lacks oversight, controls, and auditability.
Disconnected Tools
Development, testing, and deployment happen in silos.
Scaling Challenges
Prototypes are not designed for production environments.
Limited Monitoring
Organizations lack visibility into AI usage and performance.
From AI Experimentation to Production
What Microsoft Foundry Includes
Azure AI Foundry provides a unified environment for building, testing, deploying, and managing AI applications and agents at scale. It brings together models, tools, orchestration, evaluation, security controls, and operational management capabilities so organizations can move beyond experimentation and establish repeatable AI development practices.
Prompt Management
Design, version, and refine prompts for consistent outputs.
Model Evaluation
Test models against datasets to measure quality, safety, and accuracy.
Dataset Management
Organize and manage data used for training and evaluation.
Observability
Monitor usage, performance, and outputs across AI applications.
What You Can Build with Micro Foundry
Production AI Applications
Move from proof-of-concept to scalable, enterprise-ready AI solutions.
Custom Copilots
Design and manage Copilots tailored to your business processes.
AI Evaluation Frameworks
Establish repeatable testing and validation processes for AI outputs.
Prompt Libraries
Standardize prompts and interactions across teams.
Governed AI Deployments
Apply controls and policies to AI usage and outputs.
Continuous AI Improvements
Iterate and optimize AI systems based on real-world usage.
Where AI Governance Fits
Effective AI governance creates the foundation for secure, compliant, and sustainable AI initiatives across the organization.
AI Strategy Execution
Operationalize AI initiatives across the organization.
Copilot Development
Design and manage custom copilots and AI assistants.
AI Governance
Ensure oversight, monitoring, and compliance for AI usage.
Application Integration
Embed AI into applications and workflows.
Data Platform Alignment
Connect AI with governed and structured data sources.
Continuous Optimization
Improve AI systems based on usage and feedback.
Let’s Talk About What Comes Next
Whether you’re building your first AI solution or scaling existing initiatives, Oakwood can help you leverage Microsoft Foundry to move from experimentation to production.