Powerbi Autonomous Exception Management

Power BI Autonomous Exception Management

Use this skill when every planning deviation should become a traceable exception rather than a dashboard comment.

Exception types

• budget_gap
• roll_gap
• backlog_at_risk
• delivery_risk
• model_biased
• sparse_segment
• target_infeasible
• human_override_required
• data_quality_blocker

Workflow

1. Detect exceptions from forecast, quality, scenario, constraint, and action outputs.
2. Deduplicate by month, customer, product, issue type, and root cause.
3. Assign severity from revenue impact, confidence, urgency, and controllability.
4. Suggest owner hints from customer hierarchy, sales group, product line, or region.
5. Track status and closure evidence.

Required outputs

• exception_id
• forecast_month
• exception_type
• customer
• product
• revenue_impact
• severity
• owner_hint
• status
• next_action
• evidence

Guardrails

• Every severe exception needs an action, owner hint, or explicit reason to defer.
• Do not close exceptions automatically without actuals, owner response, or rule-based evidence.