Enterprise questions rarely fit into a single table. The evidence needed to answer one business question may span lakehouse data, governed metrics, real-time events, documents, and relationships between business entities. This session shows how to design AI experiences in Microsoft Fabric that can reason across these different data shapes without turning every question into one oversized prompt. Using a practical customer scenario, we will combine structured Fabric data, semantic context, Fabric IQ Ontology, event information, unstructured knowledge, and agent reasoning. We will examine how to route each part of a question to the right source, reduce ambiguity with business context, and assemble traceable evidence before returning an answer. Attendees will leave with a reusable architecture for moving beyond simple conversational BI toward contextual enterprise reasoning.