Conversational Intelligence in Microsoft Fabric – A Governed Data & AI Accelerator

Built on Microsoft Fabric as a unified control plane for enterprise data, the accelerator establishes a shared semantic foundation and governance model that allows business users to securely “talk to their data” using natural language – without losing control, consistency, or accountability. This accelerator strengthens the underlying foundations of enterprise intelligence – unified data in OneLake, governed semantic models, access policies, and lineage, enabling conversational experiences and AI agents to safely query, reason, explain, and act on enterprise data. The result is a governed conversational intelligence layer within Microsoft Fabric, extensible to Azure OpenAI and Copilot experiences, enabling secure natural language access to enterprise data grounded in shared business semantics, enforced governance, and full explainability. This foundation prepares organizations to scale toward agent-based systems operating on trusted, unified enterprise intelligence.

This offering is ideal for Executive Leadership and Business Heads who require faster, explainable insights without compromising governance; for Chief Data and Analytics Officers (CDO/CAO) seeking to establish consistent KPI definitions across reports, analysts, and AI-generated answers; and for Data Platform and BI Teams preparing Microsoft Fabric environments to support trusted conversational access and future agent-based workloads.

Accelerator Overview

Define High-Value Use Cases & KPI Scope: Identify 3–5 priority business decisions, define target KPIs and data domains, and assess Microsoft Fabric readiness and governance maturity.

Establish Microsoft Fabric as the Control Plane: Configure a unified OneLake foundation, align semantic models with business definitions, and implement access controls, lineage, and audit traceability.

Enable Semantic Governance: Formalize KPI logic within Fabric semantic models, connect metrics to the business glossary, and enforce policy-driven access across reports and AI queries.

Deploy the Conversational Layer: Enable Microsoft Fabric Copilot, Data Agents, and semantic models to provide governed natural language access with grounding, citation, and explainability controls.

Extend to the Agentic Ecosystem (Optional Phase): Extend Microsoft Fabric intelligence into Azure OpenAI and Copilot Studio for advanced agent development and enterprise copilots, expose reusable Fabric Data Agents as shareable assets, embed insights into enterprise workflows, and implement monitoring and AI cost governance (FinOps).

Deliverables

• Fabric Semantic Foundation: Governed semantic models aligned to business KPIs, including documented metric definitions, ownership, access controls, and lineage configuration.
• Conversational Intelligence Layer: A governed natural language workspace within Microsoft Fabric, with semantic grounding, prompt patterns, and enforced source citation and explainability.
• Governance & Operating Model: Defined access strategy, AI usage and monitoring framework, and a structured feedback loop for continuous improvement and accountability.
• Agent-Ready Architecture Blueprint: Integration design for Azure OpenAI and Copilot Studio, reusable data agent patterns, and a roadmap for scaling toward enterprise-wide agentic systems.