Skip to content
Home » Microsoft Foundry & Azure AI Consulting | Kamna Ventures

Microsoft Foundry & Azure AI Consulting | Kamna Ventures

[AZURE AI] FOUNDRY SERVICES

Microsoft Foundry &
Azure AI Consulting

We design, build, and deploy production-grade agentic AI applications on Azure AI Foundry—with multi-agent orchestration, enterprise governance, containerized deployment, and measurable outcomes for industrial teams.

Book a Discovery Call →

What is Microsoft Azure AI Foundry?

Azure AI Foundry (formerly Azure AI Studio) is Microsoft’s unified platform for designing, building, evaluating, and deploying enterprise AI applications. It integrates model management, agent orchestration, prompt flow, evaluation harnesses, and production deployment into a single governed environment—backed by Azure’s enterprise security and compliance stack.

Kamna builds on Foundry’s Agent Service, model catalog, and deployment infrastructure to deliver AI applications that go beyond prototypes—with the observability, governance, and reliability that production industrial workflows demand.

Our Microsoft Foundry Services

From architecture to production deployment with enterprise controls.

01 — ARCHITECTURE

Agentic App Architecture

Design multi-agent systems with intent routers, planners, tool registries, parallel executors, and evidence-driven summarization. We map your workflows to the right agent patterns—ReAct, planner-executor, RAG-augmented—for reliability at scale.

02 — FOUNDRY

Foundry Agent Service + Orchestration

Implement agents using Azure AI Foundry’s Agent Service—function calling, tool use, persistent state, and multi-turn conversations. Add governance patterns for auditability, human-in-the-loop approval, and safety guardrails.

03 — DEPLOYMENT

Containerized Deployment (ACA / AKS)

Deploy agentic services on Azure Container Apps or AKS with auto-scaling, zero-downtime updates, and environment isolation. We implement CI/CD pipelines with GitHub Actions or Azure DevOps for reliable agent releases.

04 — ENTERPRISE

Enterprise Controls & Governance

Integrate Azure Entra ID for authentication, APIM for API gateway + rate limiting, Purview for data governance, and Azure Monitor + Application Insights for observability. Your AI agents run with the same controls as your enterprise applications.

05 — RAG

RAG Pipelines & Knowledge Bases

Build retrieval-augmented generation (RAG) pipelines grounded in your documents, SOPs, manuals, ERP data, and CAD metadata. Use Azure AI Search with vector + hybrid retrieval for accurate, low-hallucination agent responses.

06 — EVALUATION

Model Evaluation & Safety Harnesses

Implement Foundry’s evaluation framework to measure agent performance on your domain tasks before and after releases. Add safety filters, content policy checks, and confidence thresholds to prevent harmful or inaccurate outputs in production.

The Azure Ecosystem We Deploy Into

Azure AI Foundry Azure OpenAI Service Azure Container Apps AKS (Azure Kubernetes Service) Azure AI Search Azure Entra ID Azure API Management Microsoft Purview Azure Monitor Application Insights Azure DevOps / GitHub Actions Cosmos DB / PostgreSQL

Frequently Asked Questions

What is Azure AI Foundry (Microsoft Foundry)?

Azure AI Foundry (formerly Azure AI Studio) is Microsoft’s unified enterprise platform for building, evaluating, and deploying AI applications. It provides a model catalog, agent service, prompt management, evaluation tools, and integration with the full Azure governance stack—making it the production platform for enterprise AI that needs auditability, security, and compliance.

Why containerize AI agents (Container Apps vs AKS)?

Containerization ensures your agents are portable, version-controlled, and infrastructure-agnostic. Azure Container Apps is ideal for most SME deployments—serverless scaling, lower ops overhead. AKS is recommended when you need advanced networking, custom GPU nodes, or complex multi-service orchestration. Kamna evaluates your workload requirements and recommends the right choice with a documented rationale.

How does Kamna handle enterprise security for AI agents?

We implement a layered security architecture: Azure Entra ID for identity (service principals, managed identities, RBAC), APIM for API gateway security and rate limiting, private endpoints to eliminate public exposure, Azure Monitor + Application Insights for full observability, and Microsoft Purview for data classification and lineage tracking. This ensures your AI deployments meet the same enterprise standards as your existing Azure workloads.

How long does it take to go from prototype to production on Foundry?

With Kamna’s structured engagement model: 2 weeks for discovery + architecture, 30–45 days for a working pilot in your environment, and 6–12 weeks to production with full governance, CI/CD, monitoring, and scale. Most clients see their first working agent in production within 6 weeks of engagement start.

Start with a Foundry Architecture Review

We’ll assess your current Azure environment, map your highest-value AI workflow, and design the right Foundry architecture—in 2 weeks.

Book a Discovery Call →