Solution Capability · 4.3
Design and build enterprise AI applications, agents, search, model evaluation, and operational controls on Azure.
Complex AI solutions require more than a model endpoint. Teams need architecture, model choice, grounding, tools, evaluation, security, deployment, observability, cost control, and integration with enterprise systems.
CIO, CTO and enterprise architecture teams
AI engineering and application teams
Digital product owners
Data, platform and cloud teams
Security and governance leaders
Define the application and operating requirements.
Select model, retrieval, agent, tool, and integration patterns.
Design Azure architecture, identity, networking, data access, logging, evaluation, and release controls.
Build and test a focused use case.
Implement evaluation, observability, cost and performance controls.
Deploy and transition to Managed AgentOps.
Enterprise agents and copilots.
Retrieval and knowledge applications.
Document and language solutions.
Model comparison and evaluation.
AI application modernization.
Governed production deployment.
Azure AI Foundry, Azure OpenAI where available, Azure AI Search.
Azure Functions, App Service, Container Apps, storage, and databases.
API Management, Entra ID, Monitor, DevOps, and enterprise APIs.
Security & Governance
Architecture is designed around identity, network and data controls, approved models, evaluation, logging, deployment separation, secrets, content safety where appropriate, incident response, and human review.
A readiness workshop is the fastest way to find out if this is the right starting point.
