Why Fabric IQ matters for agentic AI
Agents that invent metrics destroy trust. Fabric IQ lets agents resolve KPIs and entities from governed semantics instead of scraping spreadsheets - critical for finance, ops, and executive copilots.
MICROSOFT FABRIC IQ
One semantic layer for BI and agents - Fabric IQ on top of your lakehouse.
AI Agentic Practice
Microsoft Fabric IQ
Microsoft Fabric IQ brings intelligence over your Fabric estate so business semantics, metrics, and AI workloads share one governed foundation. Gensten designs Fabric IQ architectures: OneLake as storage, lakehouse/warehouse patterns, semantic models, Real-Time Intelligence, and agent consumption paths into Azure AI Foundry - so “one version of truth” feeds both dashboards and agentic workflows.
- Fabric workspace & domain architecture
- Semantic models agents can query safely
- Real-time and batch paths for decisions
- Integration with Foundry IQ agents
- Governance with Purview-aligned patterns
Architecture Layers
How Fabric IQ fits into a production agentic stack.
1
OneLake Storage
Single logical lake for files, tables, and shortcuts.
2
Compute & Workloads
Lakehouse, warehouse, notebooks, Data Factory, Real-Time.
3
Fabric IQ Semantics
Business metrics, entities, and AI-ready definitions.
4
Consumption
Power BI, APIs, and Foundry agents over the same truth.
Implementation approach
We start with domain medallions in OneLake, define semantic contracts, then expose retrieval and query tools to Foundry agents with row-level security preserved.
Use Cases
- Executive KPI agents
- Finance close copilots
- Operations exception dashboards + agents
- Unified customer 360 for sales agents
Technologies & Platforms
Microsoft FabricFabric IQOneLakePower BIAzure AI FoundryPurviewSpark / SQL endpoints
Frequently Asked Questions
Do we need Fabric IQ if we already have Power BI?
Power BI consumes models. Fabric IQ strengthens the shared intelligence layer so analytics and AI agents use the same governed semantics - reducing conflicting numbers across tools.
What is Microsoft Fabric IQ?
Fabric IQ is the intelligence layer over Microsoft Fabric that unifies business semantics, metrics, and AI consumption so BI dashboards and agents share one version of truth.
How does Fabric IQ help AI agents?
Agents can resolve KPIs and entities from governed semantics instead of inventing metrics from raw tables or spreadsheets - critical for finance, ops, and executive copilots.
What is the relationship between Fabric IQ and OneLake?
OneLake stores the data; Fabric workloads transform it; Fabric IQ defines business meaning on top so agents and Power BI consume consistent definitions.
Can Fabric IQ support real-time agent decisions?
Yes. Real-Time Intelligence patterns in Fabric can feed operational agents for exception detection while batch lakehouse paths support deeper analysis.
How do you preserve row-level security for agents?
We expose query/retrieval tools that honor Fabric/Power BI security roles and Entra identity so agents cannot bypass RLS that humans already have.
Is Fabric IQ only for Microsoft-centric companies?
It delivers most value if you standardize on Fabric/OneLake, but shortcuts can bring external lakes into OneLake while agents still consume Fabric IQ semantics.
How long does a Fabric IQ foundation take?
A first domain (e.g., finance KPIs + OneLake gold tables + agent query tools) often lands in 8–14 weeks depending on data maturity and governance readiness.
Does Gensten also implement Power BI with Fabric IQ?
Yes. We align semantic models for both Power BI consumers and Foundry agents so reporting and agentic workflows stay consistent.
How does Purview fit with Fabric IQ?
We align catalog, lineage, and sensitivity labels so Fabric IQ metrics and agent retrieval inherit enterprise governance - not a parallel shadow catalog.
Related AI Solutions
OneLake
OneLake as the enterprise data foundation for Fabric IQ, RAG corpora, and Foundry agents - one lake, many workloads.
Foundry IQ
Build, evaluate, and operate enterprise agents and models on Microsoft Azure AI Foundry - with governed catalogs, tools, and Foundry IQ intelligence patterns.
RAG
Production Retrieval-Augmented Generation: chunking, embeddings, vector search, reranking, citations, and agent-ready knowledge retrieval.
Agentic AI
Design, build, and operate enterprise AI agents that plan, use tools, orchestrate workflows, and deliver measurable business outcomes.
Ready to build production AI agents?
Talk to Gensten about ADLC, RAG, LLM building, Foundry IQ, Fabric IQ, and OneLake - scoped to your KPIs and compliance needs.