Architecture, deployment, and operationalization of Azure AI Foundry. Agent design, model selection, evaluation, and production deployment with proper observability and cost controls. For teams who have done a POC and need to get to production without a six-month detour.
Retrieval-augmented systems built on Azure AI Search, pgvector, and Azure OpenAI. Hybrid retrieval, structured citations, evaluation. Confluence, SharePoint, document corpora, or custom data sources — built to integrate with applications you already have.
AI capabilities embedded into existing .NET applications without rewriting the platform. WebForms, MVC, .NET Core, Blazor — modernization paths that respect what you already have. For organizations with significant .NET investment that don't want to choose between AI and stability.
AI architectures that meet PCI-DSS and similar compliance requirements. Application Gateway WAF v2 with per-tenant policy, Azure Deployment Stacks for change control, Defender suite integration, hardened Container Apps deployments. Built from current production experience.