Production agents on Azure AI Foundry - models, tools, evals, and governance in one operating model.
Gensten implements Microsoft Azure AI Foundry (Foundry IQ) architectures for enterprises that want agentic AI on Azure: model catalog, prompt/agent apps, evaluation, content safety, enterprise tool wiring, and integration with Microsoft Fabric IQ and OneLake. We help you industrialize agents under ADLC - not run one-off Foundry demos.
Azure AI Foundry centralizes models, prompts, agents, and evaluations. We map your ADLC stages onto Foundry environments (dev/stage/prod), with promotion rules and auditability for regulated industries.
Agents get smarter when connected to Fabric IQ semantics and OneLake data. We design retrieval and analytics paths so Foundry agents reason over governed enterprise facts.
Azure OpenAI provides models. Azure AI Foundry / Foundry IQ is the broader platform for building, evaluating, and operating agentic applications around those models - plus tooling, catalogs, and governance.
Foundry IQ is Microsoft’s enterprise approach to building and operating AI apps and agents on Azure AI Foundry - models, prompts, agents, evaluations, safety, and governed catalogs in one control plane.
It centralizes environments, RBAC, model routing, content safety, and agent tooling - reducing shadow AI and aligning with enterprise Azure identity and networking.
Yes. We wire secure connectors (including MCP-style patterns) with managed identity, scoped permissions, and full audit trails for tool invocations.
Agents retrieve governed knowledge and metrics from OneLake/Fabric IQ via search, shortcuts, and semantic query tools - so answers and actions use the same enterprise truth as BI.
Yes. Dev/stage/prod Foundry projects, secret management, eval gates, and promotion rules mapped to your ADLC Test & Release process.
We enable Azure content safety filters, custom deny policies, PII handling, and evaluation suites for jailbreaks and sensitive topic leakage before production release.
Where supported in your Foundry catalog, we route by task: frontier models for hard reasoning, smaller models for high-volume classification or extraction.
We design VNet-integrated patterns, private endpoints, and Entra ID RBAC so prompts and embeddings stay inside your Azure trust boundary.
Token budgets, model routing, caching, quota alerts, and Monitor dashboards for latency and spend per agent and per business unit.
Unify analytics and AI semantics on Microsoft Fabric IQ - lakehouse intelligence that powers agents, BI, and decision systems.
OneLake as the enterprise data foundation for Fabric IQ, RAG corpora, and Foundry agents - one lake, many workloads.
Design, build, and operate enterprise AI agents that plan, use tools, orchestrate workflows, and deliver measurable business outcomes.
The new tech-stack SDLC for AI agents - Plan, Code & Build, Test & Release, Deploy, Operate, and Monitor with experimentation and runtime optimization loops.
Talk to Gensten about ADLC, RAG, LLM building, Foundry IQ, Fabric IQ, and OneLake - scoped to your KPIs and compliance needs.