semantic grounding

Semantic grounding is a recurring theme in Microsoft's enterprise AI strategy, particularly within the Fabric IQ, Foundry IQ, Work IQ, and Agent365 stack. It refers to the practice of anchoring AI outputs to verified, contextually relevant data sources to improve accuracy and reduce hallucinations. In the context of Microsoft's operating model, semantic grounding ensures that autonomous agents and workflows operate within clear guardrails, making decision-making more reliable and responsible. The concept is closely tied to agent governance and workflow automation, emphasizing that speed and responsibility can coexist when AI systems are properly grounded in enterprise data and policies.