| name | powerbi-ai-autopilot-evidence-explainer |
| description | Use when AI-generated Power BI decisions must be explained with evidence, confidence, assumptions, missing data, and rationale for model, DAX, Power Query, visual, and connector choices. |
Power BI AI Autopilot Evidence Explainer
Use this skill whenever the tool makes design or analysis decisions autonomously.
Evidence Areas
- Why this semantic model shape was chosen.
- Why this KPI, DAX measure, or filter logic was chosen.
- Why this Power Query connector and refresh design was chosen.
- Why this visual, drill path, or report page was chosen.
- Which evidence supports the decision and which evidence is missing.
- Confidence score, assumptions, and required human approval.
Output Requirements
- Produce a decision log with evidence, rationale, confidence, risks, and owner approval needs.
- Do not present generated choices as certain when source evidence is incomplete.