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Reference build / Agent workflow pattern
Fabric Data Agent Workflow Pattern
A governed conversational analytics and workflow pattern based on Fabric Data Agent concepts and Microsoft Fabric Data Science guidance.
Official resources used
GuildBuild adaptation
GuildBuild adapts Fabric Data Agent concepts into an operating pattern for governed analytics Q&A, escalation, and audit review.
What Microsoft provides
- Fabric Data Agent concepts for natural-language Q&A over governed Fabric data.
- Data Science documentation for Fabric AI and ML workflows.
- Platform context for lakehouse, warehouse, semantic model, and KQL sources.
What GuildBuild adds
- Question intake, permission, escalation, and response-quality review checklist.
- Human-review path for sensitive or high-impact analytics questions.
- Agent operating model that keeps the production API/model choice separate from this showcase.
Buyer evaluation checklist
- Do users know which governed sources the agent is allowed to query?
- Are sensitive questions escalated before answers are acted on?
- Can admins review questions, answers, and quality issues over time?
Implementation deliverables
- Agent source-readiness checklist
- Prompt and instruction review worksheet
- Escalation and audit flow
- Demo script for governed analytics Q&A
Technologies shown
Fabric Data AgentFabric Data ScienceOneLakePower BI semantic modelsKQL databases
Related GuildBuild service: 04. AI Agents & Workflow Automation