Microsoft IQ · Insight
Which Microsoft IQ Layer Should Ground Your AI System?
The answer depends on what your AI system needs to know. Work IQ provides collaboration context. Fabric IQ provides business data semantics. Foundry IQ provides enterprise knowledge retrieval. Most production systems need at least two of the three, but prioritizing the right one first prevents wasted investment.
Start with what your AI system needs to understand
Before choosing an IQ layer, define what kind of context your AI system is missing. Most AI grounding problems fall into one of three categories, and each maps to a different layer.
Your AI needs to understand people and work patterns
If your Copilot or agent needs to know who works with whom, how teams communicate, what documents matter for specific roles, or how individual preferences should shape AI behavior — ground with Work IQ. This is the collaboration and organizational awareness layer.
Your AI needs to understand business data with meaning
If your agent needs to interpret business metrics correctly, answer analytical questions using trusted definitions, or take actions based on business semantics — ground with Fabric IQ. This is the structured data intelligence layer that extends semantic models into AI.
Your AI needs access to organizational knowledge
If your agent needs to retrieve information from documents, policies, contracts, manuals, or knowledge bases with proper permissions and source citation — ground with Foundry IQ. This is the knowledge retrieval layer with enterprise governance.
Your AI needs multiple types of context
Most production AI systems need more than one type of grounding. An agent that handles customer inquiries might need Foundry IQ for policy knowledge, Fabric IQ for account data semantics, and Work IQ for routing based on team availability. Prioritize the layer that addresses your most visible pain point, demonstrate value, then expand.
Common decision mistakes
Implementing all three at once
The fastest way to create confusion is to try implementing all three layers simultaneously. Start with the one that addresses your most pressing AI grounding gap, build organizational competence, and expand incrementally.
Choosing based on product familiarity instead of problem fit
Organizations with strong Power BI backgrounds gravitate toward Fabric IQ. Organizations with Copilot experience gravitate toward Work IQ. The right choice depends on the problem you are solving, not which product your team knows best.
Diagnose the workflow behind this problem
Choosing the right grounding layer is a strategic decision. Marquee Insights helps organizations map AI grounding needs to the right intelligence layer and build a phased adoption plan.