# Powerbi AI Business Model Explainability

> Use when business users need plain-language explanations of Power BI numbers, filters, source lineage, DAX logic, missing data, and model assumptions.

- Skill: `rweisssieker-xp/powerbi-ai-business-model-explainability` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/powerbi-ai-business-model-explainability`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/powerbi-ai-business-model-explainability/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/powerbi-ai-business-model-explainability

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# Power BI AI Model Explainability for Business

Use this skill to explain Power BI outputs to non-technical stakeholders.

## Explanation Areas

- Why a number has a certain value.
- Which filters, slicers, relationships, and date basis affect it.
- Which source tables and transformations feed it.
- Which DAX measure logic applies.
- Which data is missing, stale, or excluded.

## Output Requirements

- Produce business-readable explanation, technical trace, assumptions, and confidence.
- Avoid exposing sensitive implementation details to unauthorized audiences.